model_zoo.md

Performance of models (ECCV2022 paper)

Models

• The following models are trained with Telsa V100 GPU.
• The pretrained models are in GoogleDriver.

Mask AP Results on Pascal VOC val

Backbone	schd	Models	GPUs	AP	AP_25	AP_50	AP_70	AP_75
ResNet-50	3x	model	4	36.5	76.8	64.2	44.8	36.4
ResNet-101	3x	model	4	38.3	77.9	66.3	46.4	38.7

Mask AP Results on COCO 2017

Backbone	schd	Models	GPUs	AP(val)	AP(test-dev)
ResNet-50	3x	model	8	31.4	31.7
ResNet-101	3x	model	8	33.0	33.4
ResNet-101-DCN	3x	model	8	35.0	35.4

Note:

• Following BBTP and DiscoBox, the Pascal VOC is aumented Pascal VOC(data link) with SBD. We recomment the users to train the Pascal VOC first to validate the performance with ~14 hours training time.
• Training COCO with 3x needs about 4 days.