Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-identification

arXiv:2303.10976v2 Announce Type: replace
Abstract: Occluded person re-identification (Re-ID) aims to address the potential occlusion problem when matching occluded or holistic pedestrians from different camera views. Many methods use the background as artificial occlusion and rely on attention networks to exclude noisy interference. However, the significant discrepancy between simple background occlusion and realistic occlusion can negatively impact the generalization of the network. To address this issue, we propose a novel transformer-based Attention Disturbance and Dual-Path Constraint Network (ADP) to enhance …

abstract artificial arxiv attention cs.cv identification interference network networks path pedestrians person simple type