resnet152_identity_mapping_train_test_config.prototxt

name: "residual_net_mapping_train_test" layer { name: "data" type: "ImageData" top: "data" top: "label" include { phase: TRAIN } transform_param { mirror: true crop_size: 224 mean_file: "data/ilsvrc12/imagenet_mean.binaryproto" } image_data_param { source: "data/ilsvrc12/train.txt" batch_size: 18 new_height: 256 new_width: 256 is_color: true shuffle: true root_folder: "/home/wfge/imagenet_database/ILSVRC2012_img_train/" } }

layer { name: "data" type: "CenterCropImageData" top: "data" top: "label" include { phase: TEST } transform_param { mirror: true crop_size: 224 mean_file: "data/ilsvrc12/imagenet_mean.binaryproto" } image_data_param { source: "data/ilsvrc12/val.txt" batch_size: 25 new_height: 256 new_width: 256 is_color: true shuffle: false root_folder: "/home/wfge/imagenet_database/ILSVRC2012_img_val/" } }

layer { name: "conv1" type: "Convolution" bottom: "data" top: "conv1" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 64 pad: 3 kernel_size: 7 stride: 2 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn_conv1" type: "BatchNorm" bottom: "conv1" top: "conv1" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale_conv1" type: "Scale" bottom: "conv1" top: "conv1" scale_param { bias_term: true } }

layer { name: "conv1_relu" type: "ReLU" bottom: "conv1" top: "conv1" }

layer { name: "pool1" type: "Pooling" bottom: "conv1" top: "pool1" pooling_param { pool: MAX kernel_size: 3 stride: 2 } }

layer { name: "res2a_branch1" type: "Convolution" bottom: "pool1" top: "res2a_branch1" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res2a_branch2a" type: "Convolution" bottom: "pool1" top: "res2a_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 64 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn2a_branch2a" type: "BatchNorm" bottom: "res2a_branch2a" top: "res2a_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale2a_branch2a" type: "Scale" bottom: "res2a_branch2a" top: "res2a_branch2a" scale_param { bias_term: true } }

layer { name: "relu2a_branch2a" type: "ReLU" bottom: "res2a_branch2a" top: "res2a_branch2a" }

layer { name: "res2a_branch2b" type: "Convolution" bottom: "res2a_branch2a" top: "res2a_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 64 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn2a_branch2b" type: "BatchNorm" bottom: "res2a_branch2b" top: "res2a_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale2a_branch2b" type: "Scale" bottom: "res2a_branch2b" top: "res2a_branch2b" scale_param { bias_term: true } }

layer { name: "relu2a_branch2b" type: "ReLU" top: "res2a_branch2b" bottom: "res2a_branch2b" }

layer { name: "res2a_branch2c" type: "Convolution" bottom: "res2a_branch2b" top: "res2a_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 kernel_size: 1 pad: 0 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res2a" type: "Residual" bottom: "res2a_branch1" bottom: "res2a_branch2c" top: "res2a_left" top: "res2a_right" }

layer { name: "bn2a" type: "BatchNorm" bottom: "res2a_left" top: "res2a_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale2a" type: "Scale" bottom: "res2a_left" top: "res2a_left" scale_param { bias_term: true } }

layer { name: "relu2a" type: "ReLU" bottom: "res2a_left" top: "res2a_left" }

layer { name: "res2b_branch2a" type: "Convolution" bottom: "res2a_left" top: "res2b_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 64 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn2b_branch2a" type: "BatchNorm" bottom: "res2b_branch2a" top: "res2b_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale2b_branch2a" type: "Scale" bottom: "res2b_branch2a" top: "res2b_branch2a" scale_param { bias_term: true } }

layer { name: "relu2b_branch2a" type: "ReLU" bottom: "res2b_branch2a" top: "res2b_branch2a" }

layer { name: "res2b_branch2b" type: "Convolution" bottom: "res2b_branch2a" top: "res2b_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 64 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn2b_branch2b" type: "BatchNorm" bottom: "res2b_branch2b" top: "res2b_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale2b_branch2b" type: "Scale" bottom: "res2b_branch2b" top: "res2b_branch2b" scale_param { bias_term: true } }

layer { name: "relu2b_branch2b" type: "ReLU" top: "res2b_branch2b" bottom: "res2b_branch2b" }

layer { name: "res2b_branch2c" type: "Convolution" bottom: "res2b_branch2b" top: "res2b_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res2b" type: "Residual" bottom: "res2b_branch2c" bottom: "res2a_right" top: "res2b_left" top: "res2b_right" }

layer { name: "bn2b" type: "BatchNorm" bottom: "res2b_left" top: "res2b_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale2b" type: "Scale" bottom: "res2b_left" top: "res2b_left" scale_param { bias_term: true } }

layer { name: "res2b_relu" type: "ReLU" bottom: "res2b_left" top: "res2b_left" }

layer { name: "res2c_branch2a" type: "Convolution" bottom: "res2b_left" top: "res2c_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 64 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn2c_branch2a" type: "BatchNorm" bottom: "res2c_branch2a" top: "res2c_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale2c_branch2a" type: "Scale" bottom: "res2c_branch2a" top: "res2c_branch2a" scale_param { bias_term: true } }

layer { name: "relu2c_branch2a" type: "ReLU" bottom: "res2c_branch2a" top: "res2c_branch2a" }

layer { name: "res2c_branch2b" type: "Convolution" bottom: "res2c_branch2a" top: "res2c_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 64 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn2c_branch2b" type: "BatchNorm" bottom: "res2c_branch2b" top: "res2c_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale2c_branch2b" type: "Scale" bottom: "res2c_branch2b" top: "res2c_branch2b" scale_param { bias_term: true } }

layer { name: "res2c_branch2b_relu" type: "ReLU" top: "res2c_branch2b" bottom: "res2c_branch2b" }

layer { name: "res2c_branch2c" type: "Convolution" bottom: "res2c_branch2b" top: "res2c_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res2c" type: "Residual" bottom: "res2c_branch2c" bottom: "res2b_right" top: "res2c" }

layer { name: "bn2c" type: "BatchNorm" bottom: "res2c" top: "res2c" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale2c" type: "Scale" bottom: "res2c" top: "res2c" scale_param { bias_term: true } }

layer { name: "res2c_relu" type: "ReLU" bottom: "res2c" top: "res2c" }

layer { name: "res3a_branch1" type: "Convolution" bottom: "res2c" top: "res3a_branch1" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 512 pad: 0 kernel_size: 1 stride: 2 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res3a_branch2a" type: "Convolution" bottom: "res2c" top: "res3a_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 128 pad: 0 kernel_size: 1 stride: 2 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn3a_branch2a" type: "BatchNorm" bottom: "res3a_branch2a" top: "res3a_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale3a_branch2a" type: "Scale" bottom: "res3a_branch2a" top: "res3a_branch2a" scale_param { bias_term: true } }

layer { name: "relu3a_branch2a" type: "ReLU" bottom: "res3a_branch2a" top: "res3a_branch2a" }

layer { name: "res3a_branch2b" type: "Convolution" bottom: "res3a_branch2a" top: "res3a_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 128 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn3a_branch2b" type: "BatchNorm" bottom: "res3a_branch2b" top: "res3a_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale3a_branch2b" type: "Scale" bottom: "res3a_branch2b" top: "res3a_branch2b" scale_param { bias_term: true } }

layer { name: "relu3a_branch2b" type: "ReLU" top: "res3a_branch2b" bottom: "res3a_branch2b" }

layer { name: "res3a_branch2c" type: "Convolution" bottom: "res3a_branch2b" top: "res3a_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 512 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res3a" type: "Residual" bottom: "res3a_branch1" bottom: "res3a_branch2c" top: "res3a_left" top: "res3a_right" } layer { name: "bn3a" type: "BatchNorm" bottom: "res3a_left" top: "res3a_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale3a" type: "Scale" bottom: "res3a_left" top: "res3a_left" scale_param { bias_term: true } }

layer { name: "res3a_relu" type: "ReLU" bottom: "res3a_left" top: "res3a_left" }

layer { name: "res3b1_branch2a" type: "Convolution" bottom: "res3a_left" top: "res3b1_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 128 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn3b1_branch2a" type: "BatchNorm" bottom: "res3b1_branch2a" top: "res3b1_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale3b1_branch2a" type: "Scale" bottom: "res3b1_branch2a" top: "res3b1_branch2a" scale_param { bias_term: true } }

layer { name: "relu3b1_branch2a" type: "ReLU" bottom: "res3b1_branch2a" top: "res3b1_branch2a" }

layer { name: "res3b1_branch2b" type: "Convolution" bottom: "res3b1_branch2a" top: "res3b1_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 128 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn3b1_branch2b" type: "BatchNorm" bottom: "res3b1_branch2b" top: "res3b1_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale3b1_branch2b" type: "Scale" bottom: "res3b1_branch2b" top: "res3b1_branch2b" scale_param { bias_term: true } }

layer { name: "relu3b1_branch2b" type: "ReLU" top: "res3b1_branch2b" bottom: "res3b1_branch2b" }

layer { name: "res3b1_branch2c" type: "Convolution" bottom: "res3b1_branch2b" top: "res3b1_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 512 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res3b1" type: "Residual" bottom: "res3b1_branch2c" bottom: "res3a_right" top: "res3b1_left" top: "res3b1_right" }

layer { name: "bn3b1" type: "BatchNorm" bottom: "res3b1_left" top: "res3b1_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale3b1" type: "Scale" bottom: "res3b1_left" top: "res3b1_left" scale_param { bias_term: true } }

layer { name: "res3b1_relu" type: "ReLU" bottom: "res3b1_left" top: "res3b1_left" }

layer { name: "res3b2_branch2a" type: "Convolution" bottom: "res3b1_left" top: "res3b2_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 128 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn3b2_branch2a" type: "BatchNorm" bottom: "res3b2_branch2a" top: "res3b2_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale3b2_branch2a" type: "Scale" bottom: "res3b2_branch2a" top: "res3b2_branch2a" scale_param { bias_term: true } }

layer { name: "relu3b2_branch2a" type: "ReLU" bottom: "res3b2_branch2a" top: "res3b2_branch2a" }

layer { name: "res3b2_branch2b" type: "Convolution" bottom: "res3b2_branch2a" top: "res3b2_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 128 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn3b2_branch2b" type: "BatchNorm" bottom: "res3b2_branch2b" top: "res3b2_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale3b2_branch2b" type: "Scale" bottom: "res3b2_branch2b" top: "res3b2_branch2b" scale_param { bias_term: true } }

layer { name: "relu3b2_branch2b" type: "ReLU" top: "res3b2_branch2b" bottom: "res3b2_branch2b" }

layer { name: "res3b2_branch2c" type: "Convolution" bottom: "res3b2_branch2b" top: "res3b2_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 512 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res3b2" type: "Residual" bottom: "res3b2_branch2c" bottom: "res3b1_right" top: "res3b2_left" top: "res3b2_right" }

layer { name: "bn3b2" type: "BatchNorm" bottom: "res3b2_left" top: "res3b2_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale3b2" type: "Scale" bottom: "res3b2_left" top: "res3b2_left" scale_param { bias_term: true } }

layer { name: "relu3b2" type: "ReLU" bottom: "res3b2_left" top: "res3b2_left" }

layer { name: "res3b3_branch2a" type: "Convolution" bottom: "res3b2_left" top: "res3b3_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 128 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn3b3_branch2a" type: "BatchNorm" bottom: "res3b3_branch2a" top: "res3b3_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale3b3_branch2a" type: "Scale" bottom: "res3b3_branch2a" top: "res3b3_branch2a" scale_param { bias_term: true } }

layer { name: "relu3b3_branch2a" type: "ReLU" bottom: "res3b3_branch2a" top: "res3b3_branch2a" }

layer { name: "res3b3_branch2b" type: "Convolution" bottom: "res3b3_branch2a" top: "res3b3_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 128 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn3b3_branch2b" type: "BatchNorm" bottom: "res3b3_branch2b" top: "res3b3_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale3b3_branch2b" type: "Scale" bottom: "res3b3_branch2b" top: "res3b3_branch2b" scale_param { bias_term: true } }

layer { name: "relu3b3_branch2b" type: "ReLU" top: "res3b3_branch2b" bottom: "res3b3_branch2b" }

layer { name: "res3b3_branch2c" type: "Convolution" bottom: "res3b3_branch2b" top: "res3b3_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 512 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res3b3" type: "Residual" bottom: "res3b3_branch2c" bottom: "res3b2_right" top: "res3b3_left" top: "res3b3_right" }

layer { name: "bn3b3" type: "BatchNorm" bottom: "res3b3_left" top: "res3b3_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale3b3" type: "Scale" bottom: "res3b3_left" top: "res3b3_left" scale_param { bias_term: true } }

layer { name: "relu3b3" type: "ReLU" bottom: "res3b3_left" top: "res3b3_left" }

layer { name: "res3b4_branch2a" type: "Convolution" bottom: "res3b3_left" top: "res3b4_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 128 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn3b4_branch2a" type: "BatchNorm" bottom: "res3b4_branch2a" top: "res3b4_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale3b4_branch2a" type: "Scale" bottom: "res3b4_branch2a" top: "res3b4_branch2a" scale_param { bias_term: true } }

layer { name: "relu3b4_branch2a" type: "ReLU" bottom: "res3b4_branch2a" top: "res3b4_branch2a" }

layer { name: "res3b4_branch2b" type: "Convolution" bottom: "res3b4_branch2a" top: "res3b4_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 128 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn3b4_branch2b" type: "BatchNorm" bottom: "res3b4_branch2b" top: "res3b4_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale3b4_branch2b" type: "Scale" bottom: "res3b4_branch2b" top: "res3b4_branch2b" scale_param { bias_term: true } }

layer { name: "relu3b4_branch2b" type: "ReLU" top: "res3b4_branch2b" bottom: "res3b4_branch2b" }

layer { name: "res3b4_branch2c" type: "Convolution" bottom: "res3b4_branch2b" top: "res3b4_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 512 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res3b4" type: "Residual" bottom: "res3b4_branch2c" bottom: "res3b3_right" top: "res3b4_left" top: "res3b4_right" }

layer { name: "bn3b4" type: "BatchNorm" bottom: "res3b4_left" top: "res3b4_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale3b4" type: "Scale" bottom: "res3b4_left" top: "res3b4_left" scale_param { bias_term: true } }

layer { name: "res3b4_relu" type: "ReLU" bottom: "res3b4_left" top: "res3b4_left" }

layer { name: "res3b5_branch2a" type: "Convolution" bottom: "res3b4_left" top: "res3b5_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 128 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn3b5_branch2a" type: "BatchNorm" bottom: "res3b5_branch2a" top: "res3b5_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale3b5_branch2a" type: "Scale" bottom: "res3b5_branch2a" top: "res3b5_branch2a" scale_param { bias_term: true } }

layer { name: "relu3b5_branch2a" type: "ReLU" bottom: "res3b5_branch2a" top: "res3b5_branch2a" }

layer { name: "res3b5_branch2b" type: "Convolution" bottom: "res3b5_branch2a" top: "res3b5_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 128 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn3b5_branch2b" type: "BatchNorm" bottom: "res3b5_branch2b" top: "res3b5_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale3b5_branch2b" type: "Scale" bottom: "res3b5_branch2b" top: "res3b5_branch2b" scale_param { bias_term: true } }

layer { name: "relu3b5_branch2b" type: "ReLU" top: "res3b5_branch2b" bottom: "res3b5_branch2b" }

layer { name: "res3b5_branch2c" type: "Convolution" bottom: "res3b5_branch2b" top: "res3b5_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 512 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res3b5" type: "Residual" bottom: "res3b5_branch2c" bottom: "res3b4_right" top: "res3b5_left" top: "res3b5_right" }

layer { name: "bn3b5" type: "BatchNorm" bottom: "res3b5_left" top: "res3b5_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale3b5" type: "Scale" bottom: "res3b5_left" top: "res3b5_left" scale_param { bias_term: true } }

layer { name: "res3b5_relu" type: "ReLU" bottom: "res3b5_left" top: "res3b5_left" }

layer { name: "res3b6_branch2a" type: "Convolution" bottom: "res3b5_left" top: "res3b6_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 128 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn3b6_branch2a" type: "BatchNorm" bottom: "res3b6_branch2a" top: "res3b6_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale3b6_branch2a" type: "Scale" bottom: "res3b6_branch2a" top: "res3b6_branch2a" scale_param { bias_term: true } }

layer { name: "relu3b6_branch2a" type: "ReLU" bottom: "res3b6_branch2a" top: "res3b6_branch2a" }

layer { name: "res3b6_branch2b" type: "Convolution" bottom: "res3b6_branch2a" top: "res3b6_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 128 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn3b6_branch2b" type: "BatchNorm" bottom: "res3b6_branch2b" top: "res3b6_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale3b6_branch2b" type: "Scale" bottom: "res3b6_branch2b" top: "res3b6_branch2b" scale_param { bias_term: true } }

layer { name: "relu3b6_branch2b" type: "ReLU" top: "res3b6_branch2b" bottom: "res3b6_branch2b" }

layer { name: "res3b6_branch2c" type: "Convolution" bottom: "res3b6_branch2b" top: "res3b6_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 512 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res3b6" type: "Residual" bottom: "res3b6_branch2c" bottom: "res3b5_right" top: "res3b6_left" top: "res3b6_right" }

layer { name: "bn3b6" type: "BatchNorm" bottom: "res3b6_left" top: "res3b6_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale3b6" type: "Scale" bottom: "res3b6_left" top: "res3b6_left" scale_param { bias_term: true } }

layer { name: "res3b6_relu" type: "ReLU" bottom: "res3b6_left" top: "res3b6_left" }

layer { name: "res3b7_branch2a" type: "Convolution" bottom: "res3b6_left" top: "res3b7_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 128 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn3b7_branch2a" type: "BatchNorm" bottom: "res3b7_branch2a" top: "res3b7_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale3b7_branch2a" type: "Scale" bottom: "res3b7_branch2a" top: "res3b7_branch2a" scale_param { bias_term: true } }

layer { name: "relu3b7_branch2a" type: "ReLU" bottom: "res3b7_branch2a" top: "res3b7_branch2a" }

layer { name: "res3b7_branch2b" type: "Convolution" bottom: "res3b7_branch2a" top: "res3b7_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 128 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn3b7_branch2b" type: "BatchNorm" bottom: "res3b7_branch2b" top: "res3b7_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale3b7_branch2b" type: "Scale" bottom: "res3b7_branch2b" top: "res3b7_branch2b" scale_param { bias_term: true } }

layer { name: "relu3b7_branch2b" type: "ReLU" top: "res3b7_branch2b" bottom: "res3b7_branch2b" }

layer { name: "res3b7_branch2c" type: "Convolution" bottom: "res3b7_branch2b" top: "res3b7_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 512 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res3b7" type: "Residual" bottom: "res3b7_branch2c" bottom: "res3b6_right" top: "res3b7" }

layer { name: "bn3b7" type: "BatchNorm" bottom: "res3b7" top: "res3b7" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale3b7" type: "Scale" bottom: "res3b7" top: "res3b7" scale_param { bias_term: true } }

layer { name: "res3b7_relu" type: "ReLU" bottom: "res3b7" top: "res3b7" }

layer { name: "res4a_branch1" type: "Convolution" bottom: "res3b7" top: "res4a_branch1" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 2 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4a_branch2a" type: "Convolution" bottom: "res3b7" top: "res4a_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 2 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4a_branch2a" type: "BatchNorm" bottom: "res4a_branch2a" top: "res4a_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4a_branch2a" type: "Scale" bottom: "res4a_branch2a" top: "res4a_branch2a" scale_param { bias_term: true } }

layer { name: "relu4a_branch2a" type: "ReLU" bottom: "res4a_branch2a" top: "res4a_branch2a" }

layer { name: "res4a_branch2b" type: "Convolution" bottom: "res4a_branch2a" top: "res4a_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4a_branch2b" type: "BatchNorm" bottom: "res4a_branch2b" top: "res4a_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4a_branch2b" type: "Scale" bottom: "res4a_branch2b" top: "res4a_branch2b" scale_param { bias_term: true } }

layer { name: "relu4a_branch2b" type: "ReLU" top: "res4a_branch2b" bottom: "res4a_branch2b" }

layer { name: "res4a_branch2c" type: "Convolution" bottom: "res4a_branch2b" top: "res4a_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4a" type: "Residual" bottom: "res4a_branch1" bottom: "res4a_branch2c" top: "res4a_left" top: "res4a_right" }

layer { name: "bn4a" type: "BatchNorm" bottom: "res4a_left" top: "res4a_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4a" type: "Scale" bottom: "res4a_left" top: "res4a_left" scale_param { bias_term: true } }

layer { name: "res4a_relu" type: "ReLU" bottom: "res4a_left" top: "res4a_left" }

layer { name: "res4b1_branch2a" type: "Convolution" bottom: "res4a_left" top: "res4b1_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b1_branch2a" type: "BatchNorm" bottom: "res4b1_branch2a" top: "res4b1_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b1_branch2a" type: "Scale" bottom: "res4b1_branch2a" top: "res4b1_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b1_branch2a" type: "ReLU" bottom: "res4b1_branch2a" top: "res4b1_branch2a" }

layer { name: "res4b1_branch2b" type: "Convolution" bottom: "res4b1_branch2a" top: "res4b1_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b1_branch2b" type: "BatchNorm" bottom: "res4b1_branch2b" top: "res4b1_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b1_branch2b" type: "Scale" bottom: "res4b1_branch2b" top: "res4b1_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b1_branch2b" type: "ReLU" top: "res4b1_branch2b" bottom: "res4b1_branch2b" }

layer { name: "res4b1_branch2c" type: "Convolution" bottom: "res4b1_branch2b" top: "res4b1_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b1" type: "Residual" bottom: "res4b1_branch2c" bottom: "res4a_right" top: "res4b1_left" top: "res4b1_right" }

layer { name: "bn4b1" type: "BatchNorm" bottom: "res4b1_left" top: "res4b1_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b1" type: "Scale" bottom: "res4b1_left" top: "res4b1_left" scale_param { bias_term: true } }

layer { name: "res4b1_relu" type: "ReLU" bottom: "res4b1_left" top: "res4b1_left" }

layer { name: "res4b2_branch2a" type: "Convolution" bottom: "res4b1_left" top: "res4b2_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b2_branch2a" type: "BatchNorm" bottom: "res4b2_branch2a" top: "res4b2_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b2_branch2a" type: "Scale" bottom: "res4b2_branch2a" top: "res4b2_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b2_branch2a" type: "ReLU" bottom: "res4b2_branch2a" top: "res4b2_branch2a" }

layer { name: "res4b2_branch2b" type: "Convolution" bottom: "res4b2_branch2a" top: "res4b2_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b2_branch2b" type: "BatchNorm" bottom: "res4b2_branch2b" top: "res4b2_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b2_branch2b" type: "Scale" bottom: "res4b2_branch2b" top: "res4b2_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b2_branch2b" type: "ReLU" top: "res4b2_branch2b" bottom: "res4b2_branch2b" }

layer { name: "res4b2_branch2c" type: "Convolution" bottom: "res4b2_branch2b" top: "res4b2_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b2" type: "Residual" bottom: "res4b2_branch2c" bottom: "res4b1_right" top: "res4b2_left" top: "res4b2_right" }

layer { name: "bn4b2" type: "BatchNorm" bottom: "res4b2_left" top: "res4b2_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b2" type: "Scale" bottom: "res4b2_left" top: "res4b2_left" scale_param { bias_term: true } }

layer { name: "res4b2_relu" type: "ReLU" bottom: "res4b2_left" top: "res4b2_left" }

layer { name: "res4b3_branch2a" type: "Convolution" bottom: "res4b2_left" top: "res4b3_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b3_branch2a" type: "BatchNorm" bottom: "res4b3_branch2a" top: "res4b3_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b3_branch2a" type: "Scale" bottom: "res4b3_branch2a" top: "res4b3_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b3_branch2a" type: "ReLU" bottom: "res4b3_branch2a" top: "res4b3_branch2a" }

layer { name: "res4b3_branch2b" type: "Convolution" bottom: "res4b3_branch2a" top: "res4b3_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b3_branch2b" type: "BatchNorm" bottom: "res4b3_branch2b" top: "res4b3_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b3_branch2b" type: "Scale" bottom: "res4b3_branch2b" top: "res4b3_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b3_branch2b" type: "ReLU" top: "res4b3_branch2b" bottom: "res4b3_branch2b" }

layer { name: "res4b3_branch2c" type: "Convolution" bottom: "res4b3_branch2b" top: "res4b3_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b3" type: "Residual" bottom: "res4b3_branch2c" bottom: "res4b2_right" top: "res4b3_left" top: "res4b3_right" }

layer { name: "bn4b3" type: "BatchNorm" bottom: "res4b3_left" top: "res4b3_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b3" type: "Scale" bottom: "res4b3_left" top: "res4b3_left" scale_param { bias_term: true } }

layer { name: "res4b3_relu" type: "ReLU" bottom: "res4b3_left" top: "res4b3_left" }

layer { name: "res4b4_branch2a" type: "Convolution" bottom: "res4b3_left" top: "res4b4_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b4_branch2a" type: "BatchNorm" bottom: "res4b4_branch2a" top: "res4b4_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b4_branch2a" type: "Scale" bottom: "res4b4_branch2a" top: "res4b4_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b4_branch2a" type: "ReLU" bottom: "res4b4_branch2a" top: "res4b4_branch2a" }

layer { name: "res4b4_branch2b" type: "Convolution" bottom: "res4b4_branch2a" top: "res4b4_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b4_branch2b" type: "BatchNorm" bottom: "res4b4_branch2b" top: "res4b4_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b4_branch2b" type: "Scale" bottom: "res4b4_branch2b" top: "res4b4_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b4_branch2b" type: "ReLU" top: "res4b4_branch2b" bottom: "res4b4_branch2b" }

layer { name: "res4b4_branch2c" type: "Convolution" bottom: "res4b4_branch2b" top: "res4b4_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b4" type: "Residual" bottom: "res4b4_branch2c" bottom: "res4b3_right" top: "res4b4_left" top: "res4b4_right" }

layer { name: "bn4b4" type: "BatchNorm" bottom: "res4b4_left" top: "res4b4_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b4" type: "Scale" bottom: "res4b4_left" top: "res4b4_left" scale_param { bias_term: true } }

layer { name: "res4b4_relu" type: "ReLU" bottom: "res4b4_left" top: "res4b4_left" }

layer { name: "res4b5_branch2a" type: "Convolution" bottom: "res4b4_left" top: "res4b5_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b5_branch2a" type: "BatchNorm" bottom: "res4b5_branch2a" top: "res4b5_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b5_branch2a" type: "Scale" bottom: "res4b5_branch2a" top: "res4b5_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b5_branch2a" type: "ReLU" bottom: "res4b5_branch2a" top: "res4b5_branch2a" }

layer { name: "res4b5_branch2b" type: "Convolution" bottom: "res4b5_branch2a" top: "res4b5_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b5_branch2b" type: "BatchNorm" bottom: "res4b5_branch2b" top: "res4b5_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b5_branch2b" type: "Scale" bottom: "res4b5_branch2b" top: "res4b5_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b5_branch2b" type: "ReLU" top: "res4b5_branch2b" bottom: "res4b5_branch2b" }

layer { name: "res4b5_branch2c" type: "Convolution" bottom: "res4b5_branch2b" top: "res4b5_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b5" type: "Residual" bottom: "res4b5_branch2c" bottom: "res4b4_right" top: "res4b5_left" top: "res4b5_right" }

layer { name: "bn4b5" type: "BatchNorm" bottom: "res4b5_left" top: "res4b5_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b5" type: "Scale" bottom: "res4b5_left" top: "res4b5_left" scale_param { bias_term: true } }

layer { name: "res4b5_relu" type: "ReLU" bottom: "res4b5_left" top: "res4b5_left" }

layer { name: "res4b6_branch2a" type: "Convolution" bottom: "res4b5_left" top: "res4b6_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b6_branch2a" type: "BatchNorm" bottom: "res4b6_branch2a" top: "res4b6_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b6_branch2a" type: "Scale" bottom: "res4b6_branch2a" top: "res4b6_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b6_branch2a" type: "ReLU" bottom: "res4b6_branch2a" top: "res4b6_branch2a" }

layer { name: "res4b6_branch2b" type: "Convolution" bottom: "res4b6_branch2a" top: "res4b6_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b6_branch2b" type: "BatchNorm" bottom: "res4b6_branch2b" top: "res4b6_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b6_branch2b" type: "Scale" bottom: "res4b6_branch2b" top: "res4b6_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b6_branch2b" type: "ReLU" top: "res4b6_branch2b" bottom: "res4b6_branch2b" }

layer { name: "res4b6_branch2c" type: "Convolution" bottom: "res4b6_branch2b" top: "res4b6_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b6" type: "Residual" bottom: "res4b6_branch2c" bottom: "res4b5_right" top: "res4b6_left" top: "res4b6_right" }

layer { name: "bn4b6" type: "BatchNorm" bottom: "res4b6_left" top: "res4b6_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b6" type: "Scale" bottom: "res4b6_left" top: "res4b6_left" scale_param { bias_term: true } }

layer { name: "res4b6_relu" type: "ReLU" bottom: "res4b6_left" top: "res4b6_left" }

layer { name: "res4b7_branch2a" type: "Convolution" bottom: "res4b6_left" top: "res4b7_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b7_branch2a" type: "BatchNorm" bottom: "res4b7_branch2a" top: "res4b7_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b7_branch2a" type: "Scale" bottom: "res4b7_branch2a" top: "res4b7_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b7_branch2a" type: "ReLU" bottom: "res4b7_branch2a" top: "res4b7_branch2a" }

layer { name: "res4b7_branch2b" type: "Convolution" bottom: "res4b7_branch2a" top: "res4b7_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b7_branch2b" type: "BatchNorm" bottom: "res4b7_branch2b" top: "res4b7_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b7_branch2b" type: "Scale" bottom: "res4b7_branch2b" top: "res4b7_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b7_branch2b" type: "ReLU" top: "res4b7_branch2b" bottom: "res4b7_branch2b" }

layer { name: "res4b7_branch2c" type: "Convolution" bottom: "res4b7_branch2b" top: "res4b7_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b7" type: "Residual" bottom: "res4b7_branch2c" bottom: "res4b6_right" top: "res4b7_left" top: "res4b7_right" }

layer { name: "bn4b7" type: "BatchNorm" bottom: "res4b7_left" top: "res4b7_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b7" type: "Scale" bottom: "res4b7_left" top: "res4b7_left" scale_param { bias_term: true } }

layer { name: "res4b7_relu" type: "ReLU" bottom: "res4b7_left" top: "res4b7_left" }

layer { name: "res4b8_branch2a" type: "Convolution" bottom: "res4b7_left" top: "res4b8_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b8_branch2a" type: "BatchNorm" bottom: "res4b8_branch2a" top: "res4b8_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b8_branch2a" type: "Scale" bottom: "res4b8_branch2a" top: "res4b8_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b8_branch2a" type: "ReLU" bottom: "res4b8_branch2a" top: "res4b8_branch2a" }

layer { name: "res4b8_branch2b" type: "Convolution" bottom: "res4b8_branch2a" top: "res4b8_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b8_branch2b" type: "BatchNorm" bottom: "res4b8_branch2b" top: "res4b8_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b8_branch2b" type: "Scale" bottom: "res4b8_branch2b" top: "res4b8_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b8_branch2b" type: "ReLU" top: "res4b8_branch2b" bottom: "res4b8_branch2b" }

layer { name: "res4b8_branch2c" type: "Convolution" bottom: "res4b8_branch2b" top: "res4b8_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b8" type: "Residual" bottom: "res4b8_branch2c" bottom: "res4b7_right" top: "res4b8_left" top: "res4b8_right" }

layer { name: "bn4b8" type: "BatchNorm" bottom: "res4b8_left" top: "res4b8_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b8" type: "Scale" bottom: "res4b8_left" top: "res4b8_left" scale_param { bias_term: true } }

layer { name: "res4b8_relu" type: "ReLU" bottom: "res4b8_left" top: "res4b8_left" }

layer { name: "res4b9_branch2a" type: "Convolution" bottom: "res4b8_left" top: "res4b9_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b9_branch2a" type: "BatchNorm" bottom: "res4b9_branch2a" top: "res4b9_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b9_branch2a" type: "Scale" bottom: "res4b9_branch2a" top: "res4b9_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b9_branch2a" type: "ReLU" bottom: "res4b9_branch2a" top: "res4b9_branch2a" }

layer { name: "res4b9_branch2b" type: "Convolution" bottom: "res4b9_branch2a" top: "res4b9_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b9_branch2b" type: "BatchNorm" bottom: "res4b9_branch2b" top: "res4b9_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b9_branch2b" type: "Scale" bottom: "res4b9_branch2b" top: "res4b9_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b9_branch2b" type: "ReLU" top: "res4b9_branch2b" bottom: "res4b9_branch2b" }

layer { name: "res4b9_branch2c" type: "Convolution" bottom: "res4b9_branch2b" top: "res4b9_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b9" type: "Residual" bottom: "res4b9_branch2c" bottom: "res4b8_right" top: "res4b9_left" top: "res4b9_right" }

layer { name: "bn4b9" type: "BatchNorm" bottom: "res4b9_left" top: "res4b9_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b9" type: "Scale" bottom: "res4b9_left" top: "res4b9_left" scale_param { bias_term: true } }

layer { name: "res4b9_relu" type: "ReLU" bottom: "res4b9_left" top: "res4b9_left" }

layer { name: "res4b10_branch2a" type: "Convolution" bottom: "res4b9_left" top: "res4b10_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b10_branch2a" type: "BatchNorm" bottom: "res4b10_branch2a" top: "res4b10_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b10_branch2a" type: "Scale" bottom: "res4b10_branch2a" top: "res4b10_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b10_branch2a" type: "ReLU" bottom: "res4b10_branch2a" top: "res4b10_branch2a" }

layer { name: "res4b10_branch2b" type: "Convolution" bottom: "res4b10_branch2a" top: "res4b10_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b10_branch2b" type: "BatchNorm" bottom: "res4b10_branch2b" top: "res4b10_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b10_branch2b" type: "Scale" bottom: "res4b10_branch2b" top: "res4b10_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b10_branch2b" type: "ReLU" top: "res4b10_branch2b" bottom: "res4b10_branch2b" }

layer { name: "res4b10_branch2c" type: "Convolution" bottom: "res4b10_branch2b" top: "res4b10_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b10" type: "Residual" bottom: "res4b10_branch2c" bottom: "res4b9_right" top: "res4b10_left" top: "res4b10_right" }

layer { name: "bn4b10" type: "BatchNorm" bottom: "res4b10_left" top: "res4b10_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b10" type: "Scale" bottom: "res4b10_left" top: "res4b10_left" scale_param { bias_term: true } }

layer { name: "res4b10_relu" type: "ReLU" bottom: "res4b10_left" top: "res4b10_left" }

layer { name: "res4b11_branch2a" type: "Convolution" bottom: "res4b10_left" top: "res4b11_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b11_branch2a" type: "BatchNorm" bottom: "res4b11_branch2a" top: "res4b11_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b11_branch2a" type: "Scale" bottom: "res4b11_branch2a" top: "res4b11_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b11_branch2a" type: "ReLU" bottom: "res4b11_branch2a" top: "res4b11_branch2a" }

layer { name: "res4b11_branch2b" type: "Convolution" bottom: "res4b11_branch2a" top: "res4b11_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b11_branch2b" type: "BatchNorm" bottom: "res4b11_branch2b" top: "res4b11_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b11_branch2b" type: "Scale" bottom: "res4b11_branch2b" top: "res4b11_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b11_branch2b" type: "ReLU" top: "res4b11_branch2b" bottom: "res4b11_branch2b" }

layer { name: "res4b11_branch2c" type: "Convolution" bottom: "res4b11_branch2b" top: "res4b11_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b11" type: "Residual" bottom: "res4b11_branch2c" bottom: "res4b10_right" top: "res4b11_left" top: "res4b11_right" }

layer { name: "bn4b11" type: "BatchNorm" bottom: "res4b11_left" top: "res4b11_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b11" type: "Scale" bottom: "res4b11_left" top: "res4b11_left" scale_param { bias_term: true } }

layer { name: "res4b11_relu" type: "ReLU" bottom: "res4b11_left" top: "res4b11_left" }

layer { name: "res4b12_branch2a" type: "Convolution" bottom: "res4b11_left" top: "res4b12_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b12_branch2a" type: "BatchNorm" bottom: "res4b12_branch2a" top: "res4b12_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b12_branch2a" type: "Scale" bottom: "res4b12_branch2a" top: "res4b12_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b12_branch2a" type: "ReLU" bottom: "res4b12_branch2a" top: "res4b12_branch2a" }

layer { name: "res4b12_branch2b" type: "Convolution" bottom: "res4b12_branch2a" top: "res4b12_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b12_branch2b" type: "BatchNorm" bottom: "res4b12_branch2b" top: "res4b12_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b12_branch2b" type: "Scale" bottom: "res4b12_branch2b" top: "res4b12_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b12_branch2b" type: "ReLU" top: "res4b12_branch2b" bottom: "res4b12_branch2b" }

layer { name: "res4b12_branch2c" type: "Convolution" bottom: "res4b12_branch2b" top: "res4b12_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b12" type: "Residual" bottom: "res4b12_branch2c" bottom: "res4b11_right" top: "res4b12_left" top: "res4b12_right" }

layer { name: "bn4b12" type: "BatchNorm" bottom: "res4b12_left" top: "res4b12_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b12" type: "Scale" bottom: "res4b12_left" top: "res4b12_left" scale_param { bias_term: true } }

layer { name: "res4b12_relu" type: "ReLU" bottom: "res4b12_left" top: "res4b12_left" }

layer { name: "res4b13_branch2a" type: "Convolution" bottom: "res4b12_left" top: "res4b13_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b13_branch2a" type: "BatchNorm" bottom: "res4b13_branch2a" top: "res4b13_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b13_branch2a" type: "Scale" bottom: "res4b13_branch2a" top: "res4b13_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b13_branch2a" type: "ReLU" bottom: "res4b13_branch2a" top: "res4b13_branch2a" }

layer { name: "res4b13_branch2b" type: "Convolution" bottom: "res4b13_branch2a" top: "res4b13_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b13_branch2b" type: "BatchNorm" bottom: "res4b13_branch2b" top: "res4b13_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b13_branch2b" type: "Scale" bottom: "res4b13_branch2b" top: "res4b13_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b13_branch2b" type: "ReLU" top: "res4b13_branch2b" bottom: "res4b13_branch2b" }

layer { name: "res4b13_branch2c" type: "Convolution" bottom: "res4b13_branch2b" top: "res4b13_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b13" type: "Residual" bottom: "res4b13_branch2c" bottom: "res4b12_right" top: "res4b13_left" top: "res4b13_right" }

layer { name: "bn4b13" type: "BatchNorm" bottom: "res4b13_left" top: "res4b13_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b13" type: "Scale" bottom: "res4b13_left" top: "res4b13_left" scale_param { bias_term: true } }

layer { name: "res4b13_relu" type: "ReLU" bottom: "res4b13_left" top: "res4b13_left" }

layer { name: "res4b14_branch2a" type: "Convolution" bottom: "res4b13_left" top: "res4b14_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b14_branch2a" type: "BatchNorm" bottom: "res4b14_branch2a" top: "res4b14_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b14_branch2a" type: "Scale" bottom: "res4b14_branch2a" top: "res4b14_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b14_branch2a" type: "ReLU" bottom: "res4b14_branch2a" top: "res4b14_branch2a" }

layer { name: "res4b14_branch2b" type: "Convolution" bottom: "res4b14_branch2a" top: "res4b14_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b14_branch2b" type: "BatchNorm" bottom: "res4b14_branch2b" top: "res4b14_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b14_branch2b" type: "Scale" bottom: "res4b14_branch2b" top: "res4b14_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b14_branch2b" type: "ReLU" top: "res4b14_branch2b" bottom: "res4b14_branch2b" }

layer { name: "res4b14_branch2c" type: "Convolution" bottom: "res4b14_branch2b" top: "res4b14_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b14" type: "Residual" bottom: "res4b14_branch2c" bottom: "res4b13_right" top: "res4b14_left" top: "res4b14_right" }

layer { name: "bn4b14" type: "BatchNorm" bottom: "res4b14_left" top: "res4b14_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b14" type: "Scale" bottom: "res4b14_left" top: "res4b14_left" scale_param { bias_term: true } }

layer { name: "res4b14_relu" type: "ReLU" bottom: "res4b14_left" top: "res4b14_left" }

layer { name: "res4b15_branch2a" type: "Convolution" bottom: "res4b14_left" top: "res4b15_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b15_branch2a" type: "BatchNorm" bottom: "res4b15_branch2a" top: "res4b15_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b15_branch2a" type: "Scale" bottom: "res4b15_branch2a" top: "res4b15_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b15_branch2a" type: "ReLU" bottom: "res4b15_branch2a" top: "res4b15_branch2a" }

layer { name: "res4b15_branch2b" type: "Convolution" bottom: "res4b15_branch2a" top: "res4b15_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b15_branch2b" type: "BatchNorm" bottom: "res4b15_branch2b" top: "res4b15_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b15_branch2b" type: "Scale" bottom: "res4b15_branch2b" top: "res4b15_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b15_branch2b" type: "ReLU" top: "res4b15_branch2b" bottom: "res4b15_branch2b" }

layer { name: "res4b15_branch2c" type: "Convolution" bottom: "res4b15_branch2b" top: "res4b15_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b15" type: "Residual" bottom: "res4b15_branch2c" bottom: "res4b14_right" top: "res4b15_left" top: "res4b15_right" }

layer { name: "bn4b15" type: "BatchNorm" bottom: "res4b15_left" top: "res4b15_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b15" type: "Scale" bottom: "res4b15_left" top: "res4b15_left" scale_param { bias_term: true } }

layer { name: "res4b15_relu" type: "ReLU" bottom: "res4b15_left" top: "res4b15_left" }

layer { name: "res4b16_branch2a" type: "Convolution" bottom: "res4b15_left" top: "res4b16_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b16_branch2a" type: "BatchNorm" bottom: "res4b16_branch2a" top: "res4b16_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b16_branch2a" type: "Scale" bottom: "res4b16_branch2a" top: "res4b16_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b16_branch2a" type: "ReLU" bottom: "res4b16_branch2a" top: "res4b16_branch2a" }

layer { name: "res4b16_branch2b" type: "Convolution" bottom: "res4b16_branch2a" top: "res4b16_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b16_branch2b" type: "BatchNorm" bottom: "res4b16_branch2b" top: "res4b16_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b16_branch2b" type: "Scale" bottom: "res4b16_branch2b" top: "res4b16_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b16_branch2b" type: "ReLU" top: "res4b16_branch2b" bottom: "res4b16_branch2b" }

layer { name: "res4b16_branch2c" type: "Convolution" bottom: "res4b16_branch2b" top: "res4b16_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b16" type: "Residual" bottom: "res4b16_branch2c" bottom: "res4b15_right" top: "res4b16_left" top: "res4b16_right" }

layer { name: "bn4b16" type: "BatchNorm" bottom: "res4b16_left" top: "res4b16_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b16" type: "Scale" bottom: "res4b16_left" top: "res4b16_left" scale_param { bias_term: true } }

layer { name: "res4b16_relu" type: "ReLU" bottom: "res4b16_left" top: "res4b16_left" }

layer { name: "res4b17_branch2a" type: "Convolution" bottom: "res4b16_left" top: "res4b17_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b17_branch2a" type: "BatchNorm" bottom: "res4b17_branch2a" top: "res4b17_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b17_branch2a" type: "Scale" bottom: "res4b17_branch2a" top: "res4b17_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b17_branch2a" type: "ReLU" bottom: "res4b17_branch2a" top: "res4b17_branch2a" }

layer { name: "res4b17_branch2b" type: "Convolution" bottom: "res4b17_branch2a" top: "res4b17_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b17_branch2b" type: "BatchNorm" bottom: "res4b17_branch2b" top: "res4b17_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b17_branch2b" type: "Scale" bottom: "res4b17_branch2b" top: "res4b17_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b17_branch2b" type: "ReLU" top: "res4b17_branch2b" bottom: "res4b17_branch2b" }

layer { name: "res4b17_branch2c" type: "Convolution" bottom: "res4b17_branch2b" top: "res4b17_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b17" type: "Residual" bottom: "res4b17_branch2c" bottom: "res4b16_right" top: "res4b17_left" top: "res4b17_right" } layer { name: "bn4b17" type: "BatchNorm" bottom: "res4b17_left" top: "res4b17_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b17" type: "Scale" bottom: "res4b17_left" top: "res4b17_left" scale_param { bias_term: true } }

layer { name: "res4b17_relu" type: "ReLU" bottom: "res4b17_left" top: "res4b17_left" }

layer { name: "res4b18_branch2a" type: "Convolution" bottom: "res4b17_left" top: "res4b18_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b18_branch2a" type: "BatchNorm" bottom: "res4b18_branch2a" top: "res4b18_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b18_branch2a" type: "Scale" bottom: "res4b18_branch2a" top: "res4b18_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b18_branch2a" type: "ReLU" bottom: "res4b18_branch2a" top: "res4b18_branch2a" }

layer { name: "res4b18_branch2b" type: "Convolution" bottom: "res4b18_branch2a" top: "res4b18_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b18_branch2b" type: "BatchNorm" bottom: "res4b18_branch2b" top: "res4b18_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b18_branch2b" type: "Scale" bottom: "res4b18_branch2b" top: "res4b18_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b18_branch2b" type: "ReLU" top: "res4b18_branch2b" bottom: "res4b18_branch2b" }

layer { name: "res4b18_branch2c" type: "Convolution" bottom: "res4b18_branch2b" top: "res4b18_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b18" type: "Residual" bottom: "res4b18_branch2c" bottom: "res4b17_right" top: "res4b18_left" top: "res4b18_right" }

layer { name: "bn4b18" type: "BatchNorm" bottom: "res4b18_left" top: "res4b18_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b18" type: "Scale" bottom: "res4b18_left" top: "res4b18_left" scale_param { bias_term: true } }

layer { name: "res4b18_relu" type: "ReLU" bottom: "res4b18_left" top: "res4b18_left" }

layer { name: "res4b19_branch2a" type: "Convolution" bottom: "res4b18_left" top: "res4b19_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b19_branch2a" type: "BatchNorm" bottom: "res4b19_branch2a" top: "res4b19_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b19_branch2a" type: "Scale" bottom: "res4b19_branch2a" top: "res4b19_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b19_branch2a" type: "ReLU" bottom: "res4b19_branch2a" top: "res4b19_branch2a" }

layer { name: "res4b19_branch2b" type: "Convolution" bottom: "res4b19_branch2a" top: "res4b19_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b19_branch2b" type: "BatchNorm" bottom: "res4b19_branch2b" top: "res4b19_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b19_branch2b" type: "Scale" bottom: "res4b19_branch2b" top: "res4b19_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b19_branch2b" type: "ReLU" top: "res4b19_branch2b" bottom: "res4b19_branch2b" }

layer { name: "res4b19_branch2c" type: "Convolution" bottom: "res4b19_branch2b" top: "res4b19_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b19" type: "Residual" bottom: "res4b19_branch2c" bottom: "res4b18_right" top: "res4b19_left" top: "res4b19_right" }

layer { name: "bn4b19" type: "BatchNorm" bottom: "res4b19_left" top: "res4b19_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b19" type: "Scale" bottom: "res4b19_left" top: "res4b19_left" scale_param { bias_term: true } }

layer { name: "res4b19_relu" type: "ReLU" bottom: "res4b19_left" top: "res4b19_left" }

layer { name: "res4b20_branch2a" type: "Convolution" bottom: "res4b19_left" top: "res4b20_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b20_branch2a" type: "BatchNorm" bottom: "res4b20_branch2a" top: "res4b20_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b20_branch2a" type: "Scale" bottom: "res4b20_branch2a" top: "res4b20_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b20_branch2a" type: "ReLU" bottom: "res4b20_branch2a" top: "res4b20_branch2a" }

layer { name: "res4b20_branch2b" type: "Convolution" bottom: "res4b20_branch2a" top: "res4b20_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b20_branch2b" type: "BatchNorm" bottom: "res4b20_branch2b" top: "res4b20_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b20_branch2b" type: "Scale" bottom: "res4b20_branch2b" top: "res4b20_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b20_branch2b" type: "ReLU" top: "res4b20_branch2b" bottom: "res4b20_branch2b" }

layer { name: "res4b20_branch2c" type: "Convolution" bottom: "res4b20_branch2b" top: "res4b20_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b20" type: "Residual" bottom: "res4b20_branch2c" bottom: "res4b19_right" top: "res4b20_left" top: "res4b20_right" }

layer { name: "bn4b20" type: "BatchNorm" bottom: "res4b20_left" top: "res4b20_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b20" type: "Scale" bottom: "res4b20_left" top: "res4b20_left" scale_param { bias_term: true } }

layer { name: "res4b20_relu" type: "ReLU" bottom: "res4b20_left" top: "res4b20_left" }

layer { name: "res4b21_branch2a" type: "Convolution" bottom: "res4b20_left" top: "res4b21_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b21_branch2a" type: "BatchNorm" bottom: "res4b21_branch2a" top: "res4b21_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b21_branch2a" type: "Scale" bottom: "res4b21_branch2a" top: "res4b21_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b21_branch2a" type: "ReLU" bottom: "res4b21_branch2a" top: "res4b21_branch2a" }

layer { name: "res4b21_branch2b" type: "Convolution" bottom: "res4b21_branch2a" top: "res4b21_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b21_branch2b" type: "BatchNorm" bottom: "res4b21_branch2b" top: "res4b21_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b21_branch2b" type: "Scale" bottom: "res4b21_branch2b" top: "res4b21_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b21_branch2b" type: "ReLU" top: "res4b21_branch2b" bottom: "res4b21_branch2b" }

layer { name: "res4b21_branch2c" type: "Convolution" bottom: "res4b21_branch2b" top: "res4b21_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b21" type: "Residual" bottom: "res4b21_branch2c" bottom: "res4b20_right" top: "res4b21_left" top: "res4b21_right" }

layer { name: "bn4b21" type: "BatchNorm" bottom: "res4b21_left" top: "res4b21_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b21" type: "Scale" bottom: "res4b21_left" top: "res4b21_left" scale_param { bias_term: true } }

layer { name: "res4b21_relu" type: "ReLU" bottom: "res4b21_left" top: "res4b21_left" }

layer { name: "res4b22_branch2a" type: "Convolution" bottom: "res4b21_left" top: "res4b22_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b22_branch2a" type: "BatchNorm" bottom: "res4b22_branch2a" top: "res4b22_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b22_branch2a" type: "Scale" bottom: "res4b22_branch2a" top: "res4b22_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b22_branch2a" type: "ReLU" bottom: "res4b22_branch2a" top: "res4b22_branch2a" }

layer { name: "res4b22_branch2b" type: "Convolution" bottom: "res4b22_branch2a" top: "res4b22_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b22_branch2b" type: "BatchNorm" bottom: "res4b22_branch2b" top: "res4b22_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b22_branch2b" type: "Scale" bottom: "res4b22_branch2b" top: "res4b22_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b22_branch2b" type: "ReLU" top: "res4b22_branch2b" bottom: "res4b22_branch2b" }

layer { name: "res4b22_branch2c" type: "Convolution" bottom: "res4b22_branch2b" top: "res4b22_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b22" type: "Residual" bottom: "res4b22_branch2c" bottom: "res4b21_right" top: "res4b22_left" top: "res4b22_right" }

layer { name: "bn4b22" type: "BatchNorm" bottom: "res4b22_left" top: "res4b22_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b22" type: "Scale" bottom: "res4b22_left" top: "res4b22_left" scale_param { bias_term: true } }

layer { name: "res4b22_relu" type: "ReLU" bottom: "res4b22_left" top: "res4b22_left" }

layer { name: "res4b23_branch2a" type: "Convolution" bottom: "res4b22_left" top: "res4b23_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b23_branch2a" type: "BatchNorm" bottom: "res4b23_branch2a" top: "res4b23_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b23_branch2a" type: "Scale" bottom: "res4b23_branch2a" top: "res4b23_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b23_branch2a" type: "ReLU" bottom: "res4b23_branch2a" top: "res4b23_branch2a" }

layer { name: "res4b23_branch2b" type: "Convolution" bottom: "res4b23_branch2a" top: "res4b23_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b23_branch2b" type: "BatchNorm" bottom: "res4b23_branch2b" top: "res4b23_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b23_branch2b" type: "Scale" bottom: "res4b23_branch2b" top: "res4b23_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b23_branch2b" type: "ReLU" top: "res4b23_branch2b" bottom: "res4b23_branch2b" }

layer { name: "res4b23_branch2c" type: "Convolution" bottom: "res4b23_branch2b" top: "res4b23_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b23" type: "Residual" bottom: "res4b23_branch2c" bottom: "res4b22_right" top: "res4b23_left" top: "res4b23_right" }

layer { name: "bn4b23" type: "BatchNorm" bottom: "res4b23_left" top: "res4b23_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b23" type: "Scale" bottom: "res4b23_left" top: "res4b23_left" scale_param { bias_term: true } }

layer { name: "res4b23_relu" type: "ReLU" bottom: "res4b23_left" top: "res4b23_left" }

layer { name: "res4b24_branch2a" type: "Convolution" bottom: "res4b23_left" top: "res4b24_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b24_branch2a" type: "BatchNorm" bottom: "res4b24_branch2a" top: "res4b24_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b24_branch2a" type: "Scale" bottom: "res4b24_branch2a" top: "res4b24_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b24_branch2a" type: "ReLU" bottom: "res4b24_branch2a" top: "res4b24_branch2a" }

layer { name: "res4b24_branch2b" type: "Convolution" bottom: "res4b24_branch2a" top: "res4b24_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b24_branch2b" type: "BatchNorm" bottom: "res4b24_branch2b" top: "res4b24_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b24_branch2b" type: "Scale" bottom: "res4b24_branch2b" top: "res4b24_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b24_branch2b" type: "ReLU" top: "res4b24_branch2b" bottom: "res4b24_branch2b" }

layer { name: "res4b24_branch2c" type: "Convolution" bottom: "res4b24_branch2b" top: "res4b24_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b24" type: "Residual" bottom: "res4b24_branch2c" bottom: "res4b23_right" top: "res4b24_left" top: "res4b24_right" }

layer { name: "bn4b24" type: "BatchNorm" bottom: "res4b24_left" top: "res4b24_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b24" type: "Scale" bottom: "res4b24_left" top: "res4b24_left" scale_param { bias_term: true } }

layer { name: "res4b24_relu" type: "ReLU" bottom: "res4b24_left" top: "res4b24_left" }

layer { name: "res4b25_branch2a" type: "Convolution" bottom: "res4b24_left" top: "res4b25_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b25_branch2a" type: "BatchNorm" bottom: "res4b25_branch2a" top: "res4b25_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b25_branch2a" type: "Scale" bottom: "res4b25_branch2a" top: "res4b25_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b25_branch2a" type: "ReLU" bottom: "res4b25_branch2a" top: "res4b25_branch2a" }

layer { name: "res4b25_branch2b" type: "Convolution" bottom: "res4b25_branch2a" top: "res4b25_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b25_branch2b" type: "BatchNorm" bottom: "res4b25_branch2b" top: "res4b25_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b25_branch2b" type: "Scale" bottom: "res4b25_branch2b" top: "res4b25_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b25_branch2b" type: "ReLU" top: "res4b25_branch2b" bottom: "res4b25_branch2b" }

layer { name: "res4b25_branch2c" type: "Convolution" bottom: "res4b25_branch2b" top: "res4b25_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b25" type: "Residual" bottom: "res4b25_branch2c" bottom: "res4b24_right" top: "res4b25_left" top: "res4b25_right" }

layer { name: "bn4b25" type: "BatchNorm" bottom: "res4b25_left" top: "res4b25_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b25" type: "Scale" bottom: "res4b25_left" top: "res4b25_left" scale_param { bias_term: true } }

layer { name: "res4b25_relu" type: "ReLU" bottom: "res4b25_left" top: "res4b25_left" }

layer { name: "res4b26_branch2a" type: "Convolution" bottom: "res4b25_left" top: "res4b26_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b26_branch2a" type: "BatchNorm" bottom: "res4b26_branch2a" top: "res4b26_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b26_branch2a" type: "Scale" bottom: "res4b26_branch2a" top: "res4b26_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b26_branch2a" type: "ReLU" bottom: "res4b26_branch2a" top: "res4b26_branch2a" }

layer { name: "res4b26_branch2b" type: "Convolution" bottom: "res4b26_branch2a" top: "res4b26_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b26_branch2b" type: "BatchNorm" bottom: "res4b26_branch2b" top: "res4b26_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b26_branch2b" type: "Scale" bottom: "res4b26_branch2b" top: "res4b26_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b26_branch2b" type: "ReLU" top: "res4b26_branch2b" bottom: "res4b26_branch2b" }

layer { name: "res4b26_branch2c" type: "Convolution" bottom: "res4b26_branch2b" top: "res4b26_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b26" type: "Residual" bottom: "res4b26_branch2c" bottom: "res4b25_right" top: "res4b26_left" top: "res4b26_right" }

layer { name: "bn4b26" type: "BatchNorm" bottom: "res4b26_left" top: "res4b26_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b26" type: "Scale" bottom: "res4b26_left" top: "res4b26_left" scale_param { bias_term: true } }

layer { name: "res4b26_relu" type: "ReLU" bottom: "res4b26_left" top: "res4b26_left" }

layer { name: "res4b27_branch2a" type: "Convolution" bottom: "res4b26_left" top: "res4b27_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b27_branch2a" type: "BatchNorm" bottom: "res4b27_branch2a" top: "res4b27_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b27_branch2a" type: "Scale" bottom: "res4b27_branch2a" top: "res4b27_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b27_branch2a" type: "ReLU" bottom: "res4b27_branch2a" top: "res4b27_branch2a" }

layer { name: "res4b27_branch2b" type: "Convolution" bottom: "res4b27_branch2a" top: "res4b27_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b27_branch2b" type: "BatchNorm" bottom: "res4b27_branch2b" top: "res4b27_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b27_branch2b" type: "Scale" bottom: "res4b27_branch2b" top: "res4b27_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b27_branch2b" type: "ReLU" top: "res4b27_branch2b" bottom: "res4b27_branch2b" }

layer { name: "res4b27_branch2c" type: "Convolution" bottom: "res4b27_branch2b" top: "res4b27_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b27" type: "Residual" bottom: "res4b27_branch2c" bottom: "res4b26_right" top: "res4b27_left" top: "res4b27_right" } layer { name: "bn4b27" type: "BatchNorm" bottom: "res4b27_left" top: "res4b27_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b27" type: "Scale" bottom: "res4b27_left" top: "res4b27_left" scale_param { bias_term: true } }

layer { name: "res4b27_relu" type: "ReLU" bottom: "res4b27_left" top: "res4b27_left" }

layer { name: "res4b28_branch2a" type: "Convolution" bottom: "res4b27_left" top: "res4b28_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b28_branch2a" type: "BatchNorm" bottom: "res4b28_branch2a" top: "res4b28_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b28_branch2a" type: "Scale" bottom: "res4b28_branch2a" top: "res4b28_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b28_branch2a" type: "ReLU" bottom: "res4b28_branch2a" top: "res4b28_branch2a" }

layer { name: "res4b28_branch2b" type: "Convolution" bottom: "res4b28_branch2a" top: "res4b28_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b28_branch2b" type: "BatchNorm" bottom: "res4b28_branch2b" top: "res4b28_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b28_branch2b" type: "Scale" bottom: "res4b28_branch2b" top: "res4b28_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b28_branch2b" type: "ReLU" top: "res4b28_branch2b" bottom: "res4b28_branch2b" }

layer { name: "res4b28_branch2c" type: "Convolution" bottom: "res4b28_branch2b" top: "res4b28_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b28" type: "Residual" bottom: "res4b28_branch2c" bottom: "res4b27_right" top: "res4b28_left" top: "res4b28_right" }

layer { name: "bn4b28" type: "BatchNorm" bottom: "res4b28_left" top: "res4b28_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b28" type: "Scale" bottom: "res4b28_left" top: "res4b28_left" scale_param { bias_term: true } }

layer { name: "res4b28_relu" type: "ReLU" bottom: "res4b28_left" top: "res4b28_left" }

layer { name: "res4b29_branch2a" type: "Convolution" bottom: "res4b28_left" top: "res4b29_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b29_branch2a" type: "BatchNorm" bottom: "res4b29_branch2a" top: "res4b29_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b29_branch2a" type: "Scale" bottom: "res4b29_branch2a" top: "res4b29_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b29_branch2a" type: "ReLU" bottom: "res4b29_branch2a" top: "res4b29_branch2a" }

layer { name: "res4b29_branch2b" type: "Convolution" bottom: "res4b29_branch2a" top: "res4b29_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b29_branch2b" type: "BatchNorm" bottom: "res4b29_branch2b" top: "res4b29_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b29_branch2b" type: "Scale" bottom: "res4b29_branch2b" top: "res4b29_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b29_branch2b" type: "ReLU" top: "res4b29_branch2b" bottom: "res4b29_branch2b" }

layer { name: "res4b29_branch2c" type: "Convolution" bottom: "res4b29_branch2b" top: "res4b29_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b29" type: "Residual" bottom: "res4b29_branch2c" bottom: "res4b28_right" top: "res4b29_left" top: "res4b29_right" }

layer { name: "bn4b29" type: "BatchNorm" bottom: "res4b29_left" top: "res4b29_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b29" type: "Scale" bottom: "res4b29_left" top: "res4b29_left" scale_param { bias_term: true } }

layer { name: "res4b29_relu" type: "ReLU" bottom: "res4b29_left" top: "res4b29_left" }

layer { name: "res4b30_branch2a" type: "Convolution" bottom: "res4b29_left" top: "res4b30_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b30_branch2a" type: "BatchNorm" bottom: "res4b30_branch2a" top: "res4b30_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b30_branch2a" type: "Scale" bottom: "res4b30_branch2a" top: "res4b30_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b30_branch2a" type: "ReLU" bottom: "res4b30_branch2a" top: "res4b30_branch2a" }

layer { name: "res4b30_branch2b" type: "Convolution" bottom: "res4b30_branch2a" top: "res4b30_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b30_branch2b" type: "BatchNorm" bottom: "res4b30_branch2b" top: "res4b30_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b30_branch2b" type: "Scale" bottom: "res4b30_branch2b" top: "res4b30_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b30_branch2b" type: "ReLU" top: "res4b30_branch2b" bottom: "res4b30_branch2b" }

layer { name: "res4b30_branch2c" type: "Convolution" bottom: "res4b30_branch2b" top: "res4b30_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b30" type: "Residual" bottom: "res4b30_branch2c" bottom: "res4b29_right" top: "res4b30_left" top: "res4b30_right" }

layer { name: "bn4b30" type: "BatchNorm" bottom: "res4b30_left" top: "res4b30_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b30" type: "Scale" bottom: "res4b30_left" top: "res4b30_left" scale_param { bias_term: true } }

layer { name: "res4b30_relu" type: "ReLU" bottom: "res4b30_left" top: "res4b30_left" }

layer { name: "res4b31_branch2a" type: "Convolution" bottom: "res4b30_left" top: "res4b31_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b31_branch2a" type: "BatchNorm" bottom: "res4b31_branch2a" top: "res4b31_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b31_branch2a" type: "Scale" bottom: "res4b31_branch2a" top: "res4b31_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b31_branch2a" type: "ReLU" bottom: "res4b31_branch2a" top: "res4b31_branch2a" }

layer { name: "res4b31_branch2b" type: "Convolution" bottom: "res4b31_branch2a" top: "res4b31_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b31_branch2b" type: "BatchNorm" bottom: "res4b31_branch2b" top: "res4b31_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b31_branch2b" type: "Scale" bottom: "res4b31_branch2b" top: "res4b31_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b31_branch2b" type: "ReLU" top: "res4b31_branch2b" bottom: "res4b31_branch2b" }

layer { name: "res4b31_branch2c" type: "Convolution" bottom: "res4b31_branch2b" top: "res4b31_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b31" type: "Residual" bottom: "res4b31_branch2c" bottom: "res4b30_right" top: "res4b31_left" top: "res4b31_right" }

layer { name: "bn4b31" type: "BatchNorm" bottom: "res4b31_left" top: "res4b31_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b31" type: "Scale" bottom: "res4b31_left" top: "res4b31_left" scale_param { bias_term: true } }

layer { name: "res4b31_relu" type: "ReLU" bottom: "res4b31_left" top: "res4b31_left" }

layer { name: "res4b32_branch2a" type: "Convolution" bottom: "res4b31_left" top: "res4b32_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b32_branch2a" type: "BatchNorm" bottom: "res4b32_branch2a" top: "res4b32_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b32_branch2a" type: "Scale" bottom: "res4b32_branch2a" top: "res4b32_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b32_branch2a" type: "ReLU" bottom: "res4b32_branch2a" top: "res4b32_branch2a" }

layer { name: "res4b32_branch2b" type: "Convolution" bottom: "res4b32_branch2a" top: "res4b32_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b32_branch2b" type: "BatchNorm" bottom: "res4b32_branch2b" top: "res4b32_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b32_branch2b" type: "Scale" bottom: "res4b32_branch2b" top: "res4b32_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b32_branch2b" type: "ReLU" top: "res4b32_branch2b" bottom: "res4b32_branch2b" }

layer { name: "res4b32_branch2c" type: "Convolution" bottom: "res4b32_branch2b" top: "res4b32_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b32" type: "Residual" bottom: "res4b32_branch2c" bottom: "res4b31_right" top: "res4b32_left" top: "res4b32_right" }

layer { name: "bn4b32" type: "BatchNorm" bottom: "res4b32_left" top: "res4b32_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b32" type: "Scale" bottom: "res4b32_left" top: "res4b32_left" scale_param { bias_term: true } }

layer { name: "res4b32_relu" type: "ReLU" bottom: "res4b32_left" top: "res4b32_left" }

layer { name: "res4b33_branch2a" type: "Convolution" bottom: "res4b32_left" top: "res4b33_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b33_branch2a" type: "BatchNorm" bottom: "res4b33_branch2a" top: "res4b33_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b33_branch2a" type: "Scale" bottom: "res4b33_branch2a" top: "res4b33_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b33_branch2a" type: "ReLU" bottom: "res4b33_branch2a" top: "res4b33_branch2a" }

layer { name: "res4b33_branch2b" type: "Convolution" bottom: "res4b33_branch2a" top: "res4b33_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b33_branch2b" type: "BatchNorm" bottom: "res4b33_branch2b" top: "res4b33_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b33_branch2b" type: "Scale" bottom: "res4b33_branch2b" top: "res4b33_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b33_branch2b" type: "ReLU" top: "res4b33_branch2b" bottom: "res4b33_branch2b" }

layer { name: "res4b33_branch2c" type: "Convolution" bottom: "res4b33_branch2b" top: "res4b33_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b33" type: "Residual" bottom: "res4b33_branch2c" bottom: "res4b32_right" top: "res4b33_left" top: "res4b33_right" }

layer { name: "bn4b33" type: "BatchNorm" bottom: "res4b33_left" top: "res4b33_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b33" type: "Scale" bottom: "res4b33_left" top: "res4b33_left" scale_param { bias_term: true } }

layer { name: "res4b33_relu" type: "ReLU" bottom: "res4b33_left" top: "res4b33_left" }

layer { name: "res4b34_branch2a" type: "Convolution" bottom: "res4b33_left" top: "res4b34_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b34_branch2a" type: "BatchNorm" bottom: "res4b34_branch2a" top: "res4b34_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b34_branch2a" type: "Scale" bottom: "res4b34_branch2a" top: "res4b34_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b34_branch2a" type: "ReLU" bottom: "res4b34_branch2a" top: "res4b34_branch2a" }

layer { name: "res4b34_branch2b" type: "Convolution" bottom: "res4b34_branch2a" top: "res4b34_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b34_branch2b" type: "BatchNorm" bottom: "res4b34_branch2b" top: "res4b34_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b34_branch2b" type: "Scale" bottom: "res4b34_branch2b" top: "res4b34_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b34_branch2b" type: "ReLU" top: "res4b34_branch2b" bottom: "res4b34_branch2b" }

layer { name: "res4b34_branch2c" type: "Convolution" bottom: "res4b34_branch2b" top: "res4b34_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b34" type: "Residual" bottom: "res4b34_branch2c" bottom: "res4b33_right" top: "res4b34_left" top: "res4b34_right" }

layer { name: "bn4b34" type: "BatchNorm" bottom: "res4b34_left" top: "res4b34_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b34" type: "Scale" bottom: "res4b34_left" top: "res4b34_left" scale_param { bias_term: true } }

layer { name: "res4b34_relu" type: "ReLU" bottom: "res4b34_left" top: "res4b34_left" }

layer { name: "res4b35_branch2a" type: "Convolution" bottom: "res4b34_left" top: "res4b35_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b35_branch2a" type: "BatchNorm" bottom: "res4b35_branch2a" top: "res4b35_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b35_branch2a" type: "Scale" bottom: "res4b35_branch2a" top: "res4b35_branch2a" scale_param { bias_term: true } }

layer { name: "relu4b35_branch2a" type: "ReLU" bottom: "res4b35_branch2a" top: "res4b35_branch2a" }

layer { name: "res4b35_branch2b" type: "Convolution" bottom: "res4b35_branch2a" top: "res4b35_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 256 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn4b35_branch2b" type: "BatchNorm" bottom: "res4b35_branch2b" top: "res4b35_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b35_branch2b" type: "Scale" bottom: "res4b35_branch2b" top: "res4b35_branch2b" scale_param { bias_term: true } }

layer { name: "relu4b35_branch2b" type: "ReLU" top: "res4b35_branch2b" bottom: "res4b35_branch2b" }

layer { name: "res4b35_branch2c" type: "Convolution" bottom: "res4b35_branch2b" top: "res4b35_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 1024 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res4b35" type: "Residual" bottom: "res4b35_branch2c" bottom: "res4b34_right" top: "res4b35" }

layer { name: "bn4b35" type: "BatchNorm" bottom: "res4b35" top: "res4b35" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale4b35" type: "Scale" bottom: "res4b35" top: "res4b35" scale_param { bias_term: true } }

layer { name: "res4b35_relu" type: "ReLU" bottom: "res4b35" top: "res4b35" }

layer { name: "res5a_branch1" type: "Convolution" bottom: "res4b35" top: "res5a_branch1" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 2048 pad: 0 kernel_size: 1 stride: 2 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res5a_branch2a" type: "Convolution" bottom: "res4b35" top: "res5a_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 512 pad: 0 kernel_size: 1 stride: 2 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn5a_branch2a" type: "BatchNorm" bottom: "res5a_branch2a" top: "res5a_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale5a_branch2a" type: "Scale" bottom: "res5a_branch2a" top: "res5a_branch2a" scale_param { bias_term: true } }

layer { name: "relu5a_branch2a" type: "ReLU" bottom: "res5a_branch2a" top: "res5a_branch2a" }

layer { name: "res5a_branch2b" type: "Convolution" bottom: "res5a_branch2a" top: "res5a_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 512 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn5a_branch2b" type: "BatchNorm" bottom: "res5a_branch2b" top: "res5a_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale5a_branch2b" type: "Scale" bottom: "res5a_branch2b" top: "res5a_branch2b" scale_param { bias_term: true } }

layer { name: "res5a_branch2b_relu" type: "ReLU" top: "res5a_branch2b" bottom: "res5a_branch2b" }

layer { name: "res5a_branch2c" type: "Convolution" bottom: "res5a_branch2b" top: "res5a_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 2048 kernel_size: 1 pad: 0 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res5a" type: "Residual" bottom: "res5a_branch1" bottom: "res5a_branch2c" top: "res5a_left" top: "res5a_right" }

layer { name: "bn5a" type: "BatchNorm" bottom: "res5a_left" top: "res5a_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale5a" type: "Scale" bottom: "res5a_left" top: "res5a_left" scale_param { bias_term: true } }

layer { name: "relu5a" type: "ReLU" bottom: "res5a_left" top: "res5a_left" }

layer { name: "res5b_branch2a" type: "Convolution" bottom: "res5a_left" top: "res5b_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 512 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn5b_branch2a" type: "BatchNorm" bottom: "res5b_branch2a" top: "res5b_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale5b_branch2a" type: "Scale" bottom: "res5b_branch2a" top: "res5b_branch2a" scale_param { bias_term: true } }

layer { name: "relu5b_branch2a" type: "ReLU" bottom: "res5b_branch2a" top: "res5b_branch2a" }

layer { name: "res5b_branch2b" type: "Convolution" bottom: "res5b_branch2a" top: "res5b_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 512 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn5b_branch2b" type: "BatchNorm" bottom: "res5b_branch2b" top: "res5b_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale5b_branch2b" type: "Scale" bottom: "res5b_branch2b" top: "res5b_branch2b" scale_param { bias_term: true } }

layer { name: "res5b_branch2b_relu" type: "ReLU" top: "res5b_branch2b" bottom: "res5b_branch2b" }

layer { name: "res5b_branch2c" type: "Convolution" bottom: "res5b_branch2b" top: "res5b_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 2048 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res5b" type: "Residual" bottom: "res5b_branch2c" bottom: "res5a_right" top: "res5b_left" top: "res5b_right" }

layer { name: "bn5b" type: "BatchNorm" bottom: "res5b_left" top: "res5b_left" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale5b" type: "Scale" bottom: "res5b_left" top: "res5b_left" scale_param { bias_term: true } }

layer { name: "res5b_relu" type: "ReLU" bottom: "res5b_left" top: "res5b_left" }

layer { name: "res5c_branch2a" type: "Convolution" bottom: "res5b_left" top: "res5c_branch2a" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 512 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn5c_branch2a" type: "BatchNorm" bottom: "res5c_branch2a" top: "res5c_branch2a" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale5c_branch2a" type: "Scale" bottom: "res5c_branch2a" top: "res5c_branch2a" scale_param { bias_term: true } }

layer { name: "relu5c_branch2a" type: "ReLU" bottom: "res5c_branch2a" top: "res5c_branch2a" }

layer { name: "res5c_branch2b" type: "Convolution" bottom: "res5c_branch2a" top: "res5c_branch2b" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 512 pad: 1 kernel_size: 3 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "bn5c_branch2b" type: "BatchNorm" bottom: "res5c_branch2b" top: "res5c_branch2b" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale5c_branch2b" type: "Scale" bottom: "res5c_branch2b" top: "res5c_branch2b" scale_param { bias_term: true } }

layer { name: "res5c_branch2b_relu" type: "ReLU" top: "res5c_branch2b" bottom: "res5c_branch2b" }

layer { name: "res5c_branch2c" type: "Convolution" bottom: "res5c_branch2b" top: "res5c_branch2c" param { lr_mult: 1 decay_mult: 1 } convolution_param { num_output: 2048 pad: 0 kernel_size: 1 stride: 1 weight_filler { type: "xavier" } bias_term: false } }

layer { name: "res5c" type: "Residual" bottom: "res5c_branch2c" bottom: "res5b_right" top: "res5c" }

layer { name: "bn5c" type: "BatchNorm" bottom: "res5c" top: "res5c" param { lr_mult: 0 } param { lr_mult: 0 } param { lr_mult: 0 } }

layer { name: "scale5c" type: "Scale" bottom: "res5c" top: "res5c" scale_param { bias_term: true } }

layer { name: "res5c_relu" type: "ReLU" bottom: "res5c" top: "res5c" }

layer { bottom: "res5c" top: "pool5" name: "pool5" type: "Pooling" pooling_param { kernel_size: 7 stride: 1 pool: AVE } }

layer { name: "fc1000" type: "InnerProduct" bottom: "pool5" top: "fc1000" param { lr_mult: 1 decay_mult: 1 } param { lr_mult: 2 decay_mult: 0 } inner_product_param { num_output: 1000 weight_filler { type: "xavier" } bias_filler { type: "constant" value: 0 } } }

layer { name: "loss" type: "SoftmaxWithLoss" bottom: "fc1000" bottom: "label" top: "loss" loss_weight: 1 }

layer { name: "loss/prob" type: "Softmax" bottom: "fc1000" top: "loss/prob" include { phase: TEST } }

layer { name: "loss/top-1" type: "Accuracy" bottom: "loss/prob" bottom: "label" top: "loss/top-1" include { phase: TEST } } layer { name: "loss/top-5" type: "Accuracy" bottom: "loss/prob" bottom: "label" top: "loss/top-5" accuracy_param { top_k: 5 } include { phase: TEST } }