Seeing Like a Human : Asynchronous Learning With Dynamic Progressive Refinement for Person Re-Identification

Learning discriminative and rich features is an important research task for person re-identification. Previous studies have attempted to capture global and local features at the same time and layer of the model in a non-interactive manner, which are called synchronous learning. However, synchronous...

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Veröffentlicht in:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 22., Seite 352-365
1. Verfasser: Zhang, Quan (VerfasserIn)
Weitere Verfasser: Lai, Jianhuang, Feng, Zhanxiang, Xie, Xiaohua
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2022
Zugriff auf das übergeordnete Werk:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:Journal Article