CVPR 2023 - Hierarchical Dense Correlation Distillation for Few-Shot Segmentation
AI Breakdown

CVPR 2023 - Hierarchical Dense Correlation Distillation for Few-Shot Segmentation

2023-05-11
In this episode we discuss Hierarchical Dense Correlation Distillation for Few-Shot Segmentation by Bohao Peng, Zhuotao Tian, Xiaoyang Wu, Chenyao Wang, Shu Liu, Jingyong Su, Jiaya Jia. The paper proposes a Hierarchically Decoupled Matching Network (HDMNet) for few-shot semantic segmentation (FSS), where a class-agnostic model segments unseen classes with only a few annotations. The method focuses on mining pixel-level support correlation based on the transformer architecture, and uses...
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