ProtoConNet improves open-set few-shot classification by combining clustering-based sample selection, contextual feature fusion, and prototypical alignment with a threshold-based unknown-class detector.
Boosting few-shot open-set recognition with multi-relation margin loss
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ProtoConNet: Prototypical Augmentation and Alignment for Open-Set Few-Shot Image Classification
ProtoConNet improves open-set few-shot classification by combining clustering-based sample selection, contextual feature fusion, and prototypical alignment with a threshold-based unknown-class detector.