XRAI: Better Attributions Through Regions

Understand

Saliency methods can aid understanding of deep neural networks.

• Recent years have witnessed many improvements to saliency methods, as well as new ways for evaluating them.
• In this paper, we 1) present a novel region-based attribution method, XRAI, that builds upon integrated gradients (Sundararajan et al.
• 2017), 2) introduce evaluation methods for empirically assessing the quality of image-based saliency maps (Performance Information Curves (PICs)), and 3) contribute an axiom-based sanity check for attribution methods.