Few-Shot Learning - Groups

CANet

The CANet dataset is a benchmark for few-shot semantic segmentation.

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PANet

The PANet dataset is a benchmark for few-shot semantic segmentation.

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SML: Semantic Meta-Learning for Few-shot Semantic Segmentation

The proposed Semantic Meta-Learning (SML) framework for few-shot semantic segmentation.

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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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