A-FMI: Learning Attributions from Deep Networks via Feature Map Importance

An Zhang, Xiang Wang, Chengfang Fang +3

Gradient-based attribution methods can aid in the understanding of convolutional neural networks (CNNs). However, the redundancy of attribution features and the gradient saturation…