Semantic Depth Matters: Explaining Errors of Deep Vision Networks through Perceived Class Similarities

Katarzyna Filus, Michał Romaszewski, Mateusz Żarski

Understanding deep neural network (DNN) behavior requires more than evaluating classification accuracy alone; analyzing errors and their predictability is equally crucial. Current…