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Chunbo Lang

2 accepted papers

2022

Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation

IJCAI 2022poster

Few-shot segmentation, which aims to segment unseen-class objects given only a handful of densely labeled samples, has received widespread attention from the community. Existing approaches typically follow the prototype learning paradigm to perform meta-inference, which fails to fully exploit the un…

2022

Learning What Not To Segment: A New Perspective on Few-Shot Segmentation

CVPR 2022oral

Recently few-shot segmentation (FSS) has been extensively developed. Most previous works strive to achieve generalization through the meta-learning framework derived from classification tasks; however, the trained models are biased towards the seen classes instead of being ideally class-agnostic, th…

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