Fast One-Stage Unsupervised Domain Adaptive Person Search

arXiv:2405.02832v1 Announce Type: new
Abstract: Unsupervised person search aims to localize a particular target person from a gallery set of scene images without annotations, which is extremely challenging due to the unexpected variations of the unlabeled domains. However, most existing methods dedicate to developing multi-stage models to adapt domain variations while using clustering for iterative model training, which inevitably increases model complexity. To address this issue, we propose a Fast One-stage Unsupervised person Search (FOUS) which complementary integrates domain adaptaion …

arxiv cs.cv domain person search stage type unsupervised