Few-shot segmentation - Groups

CobNet: Cross Attention on Object and Background

Few-shot segmentation aims to segment images containing objects from previously unseen classes using only a few annotated samples.

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MSI: Maximize Support-Set Information for Few-Shot Segmentation

Few-shot segmentation aims to segment a target class using a small number of labeled images (support set). To extract information relevant to the target class, a dominant...

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UniverSeg

Universal medical image segmentation (UniverSeg) method for few-shot segmentation of medical images.

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Feature weighting and boosting for few-shot segmentation

This paper proposes a framework to address the issue of requiring precise masks for existing FSS tasks, which address weakly-supervised few-shot segmentation tasks with only...