Multi-Task Learning With Coarse Priors for Robust Part-Aware Person Re-Identification

Part-level representations are important for robust person re-identification (ReID), but in practice feature quality suffers due to the body part misalignment problem. In this paper, we present a robust, compact, and easy-to-use method called the Multi-task Part-aware Network (MPN), which is designe...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 3 vom: 18. März, Seite 1474-1488
1. Verfasser:	Ding, Changxing (VerfasserIn)
Weitere Verfasser:	Wang, Kan, Wang, Pengfei, Tao, Dacheng
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2022
Zugriff auf das übergeordnete Werk:	IEEE transactions on pattern analysis and machine intelligence
Schlagworte:	Journal Article Research Support, Non-U.S. Gov't