HOReID : Deep High-Order Mapping Enhances Pose Alignment for Person Re-Identification

Despite the remarkable progress in recent years, person Re-Identification (ReID) approaches frequently fail in cases where the semantic body parts are misaligned between the detected human boxes. To mitigate such cases, we propose a novel High-Order ReID (HOReID) framework that enables semantic pose...

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Veröffentlicht in:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 30(2021) vom: 01., Seite 2908-2922
1. Verfasser: Wang, Pingyu (VerfasserIn)
Weitere Verfasser: Zhao, Zhicheng, Su, Fei, Zu, Xingyu, Boulgouris, Nikolaos V
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2021
Zugriff auf das übergeordnete Werk:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:Journal Article