Abstract: The Prototypical Part Network (ProtoPNet) is an interpretable deep learning model that combines the strong power of deep learning with the interpretability of case-based reasoning, thereby ...
Abstract: Fine-grained image classification (FGIC) aims to separate different subcategories from one general superclass, which requires the classification model to extract distinctive representations ...
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