Human attention guided explainable artificial intelligence for computer vision models

Guoyang Liu, Jindi Zhang, Antoni B. Chan, Janet H. Hsiao

Abstract: Highlights•Human attention guided XAI is proposed for more faithful and plausible explanations.•Two gradient-based XAI methods are presented for explaining object detection models.•Human attention is adopted as an objective plausibility measure for XAI evaluation.•The generalization ability and robustness of the proposed XAI methods are evaluated.