README.md

June 5, 2022 ยท View on GitHub

Segementation

  • [CVPR 2019] CANet- Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning

  • [AAAI 2019] (paper) Attention-based Multi-Context Guiding for Few-Shot Semantic Segmentation

    • Utilize the output of the different layers between query branch and support branch to gain more context informations.

  • [ICCV 2019] (paper) AMP-Adaptive Masked Proxies for Few-Shot Segmentation

    • Not sure result in this area.

  • [AAAI 2019] Unsupervised Meta-learning of Figure-Ground Segmentation via Imitating Visual Effects

    • Differetiate the background from images.

  • [ICCV 2019] Feature Weighting and Boosting for Few-Shot Segmentation

  • [ICCV 2019] Meta R-CNN Towards General Solver for Instance-Level Low-Shot Learning

  • [ICCV 2019] PANet Few-Shot Image Semantic Segmentation With Prototype Alignment

  • [AAAI 2020] Differentiable Meta-learning Model for Few-shot Semantic Segmentation

  • [CVPR 2020] FGN: Fully Guided Network for Few-Shot Instance Segmentation

  • [IJCAI 2020] SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation

  • [ECCV 2020] (code) Prototype Mixture Models for Few-shot Semantic Segmentation

  • [ECCV 2020] Part-aware Prototype Network for Few-shot Semantic Segmentation

  • [ECCV 2020] Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images

  • [ECCV 2020] Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation

  • [ECCV 2020] Few-Shot Semantic Segmentation with Democratic Attention Networks

  • [CVPR 2020] FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation

  • [CVPR 2020] CRNet: Cross-Reference Networks for Few-Shot Segmentation

  • [CVPR 2020] Few-shot Learning of Part-specific Probability Space for 3D Shape Segmentation

  • [CVPR 2020] FGN: Fully Guided Network for Few-Shot Instance Segmentation

  • [CVPR 2021] Self-Guided and Cross-Guided Learning for Few-Shot Segmentation

  • [CVPR 2021] Adaptive Prototype Learning and Allocation for Few-Shot Segmentation

  • [ICCV 2021 oral] Mining Latent Classes for Few-shot Segmentation

  • [ICCV 2021] Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer

  • [ICCV 2021] Recurrent Mask Refinement for Few-Shot Medical Image Segmentation

  • [ICCV 2021] Deep Metric Learning for Open World Semantic Segmentation

  • [ICCV 2021] Learning Meta-class Memory for Few-Shot Semantic Segmentation

  • [CVPR 2021] Incremental Few-Shot Instance Segmentation

  • [CVPR 2021] FAPIS: A Few-shot Anchor-free Part-based Instance Segmenter

  • [CVPR 2022] (paper code) Integrative Few-Shot Learning for Classification and Segmentation