Diverse part attentive network for video-based person re-identification

•We propose a lightweight attention mechanism to exploit diverse parts of human bodies for addressing visual variations.•We propose an effective framework for video-based person re-identification.•We conduct extensive experiments on three popular benchmarks for demonstrating the effectiveness of our...

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Veröffentlicht in:	Pattern recognition letters 2021-09, Vol.149, p.17-23
Hauptverfasser:	Shu, Xiujun, Li, Ge, Wei, Longhui, Zhong, Jia-Xing, Zang, Xianghao, Zhang, Shiliang, Wang, Yaowei, Liang, Yongsheng, Tian, Qi
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer applications Computer Science Computer Science, Artificial Intelligence Modules Person re-identification Person retrieval Science & Technology Self-attention Technology
Online-Zugang:	Volltext
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