Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes

arXiv:2111.15000v3 Announce Type: replace-cross
Abstract: We present a deformable prototypical part network (Deformable ProtoPNet), an interpretable image classifier that integrates the power of deep learning and the interpretability of case-based reasoning. This model classifies input images by comparing them with prototypes learned during training, yielding explanations in the form of "this looks like that." However, while previous methods use spatially rigid prototypes, we address this shortcoming by proposing spatially flexible prototypes. Each prototype is made up of several prototypical parts …

arxiv classifier cs.ai cs.cv cs.lg image type