Explainable Face Verification via Feature-Guided Gradient Backpropagation

arXiv:2403.04549v1 Announce Type: new
Abstract: Recent years have witnessed significant advancement in face recognition (FR) techniques, with their applications widely spread in people's lives and security-sensitive areas. There is a growing need for reliable interpretations of decisions of such systems. Existing studies relying on various mechanisms have investigated the usage of saliency maps as an explanation approach, but suffer from different limitations. This paper first explores the spatial relationship between face image and its deep representation via gradient backpropagation. Then …

abstract advancement applications arxiv backpropagation cs.cv decisions eess.iv face face recognition feature gradient maps people recognition security studies systems type usage verification via