Improving Person Re-identification by Attribute and Identity Learning

Person re-identification (re-ID) and attribute recognition share a common target at learning pedestrian descriptions. Their difference consists in the granularity. Most existing re-ID methods only take identity labels of pedestrians into consideration. However, we find the attributes, containing det...

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Veröffentlicht in:	arXiv.org 2019-06
Hauptverfasser:	Lin, Yutian, Zheng, Liang, Zheng, Zhedong, Wu, Yu, Hu, Zhilan, Yan, Chenggang, Yang, Yi
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Back propagation Classification Computer Science - Computer Vision and Pattern Recognition Neural networks Representations Target recognition
Online-Zugang:	Volltext
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