Few-Shot Learning - Groups

Prototype Reﬁnement Network for Few-Shot Segmentation

Few-shot segmentation targets to segment new classes with few annotated images provided. It is more challenging than traditional semantic segmentation tasks that segment known...

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PASCAL-5i

Few-shot segmentation remains challenging due to the limitations of its labeling information for unseen classes. Most previous approaches rely on extracting high-level feature...

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Few-shot semantic segmentation via prototype augmentation with image-level an...

Few-shot semantic segmentation via prototype augmentation with image-level annotations

Dataset
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3 datasets found

Prototype Reﬁnement Network for Few-Shot Segmentation

PASCAL-5i

Few-shot semantic segmentation via prototype augmentation with image-level an...