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Found 2 papers, 2 papers with code
Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation
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.
Ranked #48 on
Few-Shot Semantic Segmentation
on COCO-20i (1-shot)
Learning What Not to Segment: A New Perspective on Few-Shot Segmentation
Specifically, we apply an additional branch (base learner) to the conventional FSS model (meta learner) to explicitly identify the targets of base classes, i. e., the regions that do not need to be segmented.
Ranked #19 on
Few-Shot Semantic Segmentation
on PASCAL-5i (1-Shot)
