Interpretable Image Recognition with Hierarchical Prototypes

Understand

Vision models are interpretable when they classify objects on the basis of features that a person can directly understand.

• Recently, methods relying on visual feature prototypes have been developed for this purpose.
• However, in contrast to how humans categorize objects, these approaches have not yet made use of any taxonomical organization of class labels.
• With such an approach, for instance, we may see why a chimpanzee is classified as a chimpanzee, but not why it was considered to be a primate or even an animal.