Dual Network Fusion for Person Re-Identification
Author:
Affiliation:
1. College of Communications Engineering, Army Engineering University of PLA
2. Jiangnan Institute of Computing Technology
3. College of Command and Control, Army Engineering University of PLA
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing
Link
https://www.jstage.jst.go.jp/article/transfun/E103.A/3/E103.A_2019EAL2116/_pdf
Reference40 articles.
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2. [2] M. Zheng, S. Karanam, Z. Wu, and R. Radke, “Re-identification with consistent attentive siamese networks,” CVPR, 2019.
3. [3] J. Hu, L. Shen, S. Albanie, et al., “Squeeze-and-excitation networks,” CVPR, 2017.
4. [4] W. Li, X. Zhu, and S. Gong, “Person re-identification by deep joint learning of multi-loss classification,” IJCAI, pp.2194-2200, 2017. 10.24963/ijcai.2017/305
5. [5] W. Li, X. Zhu, and S. Gong, “Harmonious attention network for person re-identification,” CVPR, pp.2285-2294, 2018. 10.1109/cvpr.2018.00243
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