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Mobile person re-identification with a lightweight trident CNN

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Acknowledgements

This work was supported in part by National Natural Science Foundation of China (Grant Nos. 61772380, 61977027), Major Project for Technological Innovation of Hubei Province (Grant No. 2019AAA044), Science and Technology Major Project of Hubei Province (Next-Generation AI Technologies) (Grant No. 2019AEA170), Foundation for Innovative Research Groups of Hubei Province (Grant No. 2017CFA007), Science and Technology Planning Project of Shenzhen (Grant No. JCYJ20170818112550194), and Open Foundation for Engineering Research Center of Hubei Province for Clothing Information (Grant No. 184084012).

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Authors and Affiliations

  1. Engineering Research Center of Hubei Province for Clothing Information, School of Mathematics and Computer Science, Wuhan Textile University, Wuhan, 430200, China

    Mingfu Xiong

  2. National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, 430072, China

    Dan Chen

  3. Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, 710068, China

    Xiaoqiang Lu

Authors
  1. Mingfu Xiong
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  2. Dan Chen
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  3. Xiaoqiang Lu
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Correspondence to Dan Chen.

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Xiong, M., Chen, D. & Lu, X. Mobile person re-identification with a lightweight trident CNN. Sci. China Inf. Sci. 63, 219102 (2020). https://doi.org/10.1007/s11432-019-2782-3

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  • DOI: https://doi.org/10.1007/s11432-019-2782-3

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