Generalizable Metric Network for Cross-domain Person Re-identification

arXiv:2306.11991v2 Announce Type: replace
Abstract: Person Re-identification (Re-ID) is a crucial technique for public security and has made significant progress in supervised settings. However, the cross-domain (i.e., domain generalization) scene presents a challenge in Re-ID tasks due to unseen test domains and domain-shift between the training and test sets. To tackle this challenge, most existing methods aim to learn domain-invariant or robust features for all domains. In this paper, we observe that the data-distribution gap between the training and test …

abstract arxiv challenge cs.cv domain domains however identification network person progress public security shift tasks test training type