2024
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations
AAAI 2024technical
Prototypical parts-based networks are becoming increasingly popular due to their faithful self-explanations. However, their similarity maps are calculated in the penultimate network layer. Therefore, the receptive field of the prototype activation region often depends on parts of the image outside t…