Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks

Jörg Wagner, Jan Mathias Köhler, Tobias Gindele +3

To verify and validate networks, it is essential to gain insight into their decisions, limitations as well as possible shortcomings of training data. In this work, we propose a pos…