Scene-Adaptive Person Search via Bilateral Modulations

arXiv:2405.02834v1 Announce Type: new
Abstract: Person search aims to localize specific a target person from a gallery set of images with various scenes. As the scene of moving pedestrian changes, the captured person image inevitably bring in lots of background noise and foreground noise on the person feature, which are completely unrelated to the person identity, leading to severe performance degeneration. To address this issue, we present a Scene-Adaptive Person Search (SEAS) model by introducing bilateral modulations to simultaneously eliminate …

arxiv cs.cv person search type via