2021
One Explanation is Not Enough: Structured Attention Graphs for Image Classification
NeurIPS 2021poster
Attention maps are popular tools for explaining the decisions of convolutional neural networks (CNNs) for image classification. Typically, for each image of interest, a single attention map is produced, which assigns weights to pixels based on their importance to the classification. We argue that a…