Abstract: Prototypical Part Networks facilitate interpretable decision-making processes, with the classification score computed by comparing test image patches to learned prototypes. Existing work ...
Abstract: Zero-shot learning (ZSL) aims to recognize unseen classes by transferring semantic knowledge from seen categories. However, existing methods often struggle with the persistent semantic gap ...
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