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Learning generalizable deep feature using triplet-batch-center loss for person re-identification

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Acknowledgements

This work was supported by Zhejiang Lab (Grant No. 2019NB0AB02) and National Natural Science Foundation of China (NSFC) (Grant Nos. 61876212, 61733007, 6157220).

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Author notes

  1. Hu B and Xu J W have the same contribution to this work.

Authors and Affiliations

  1. School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, 430074, China

    Bin Hu, Jiwei Xu & Xinggang Wang

Authors
  1. Bin Hu
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  2. Jiwei Xu
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  3. Xinggang Wang
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Corresponding author

Correspondence to Xinggang Wang.

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Hu, B., Xu, J. & Wang, X. Learning generalizable deep feature using triplet-batch-center loss for person re-identification. Sci. China Inf. Sci. 64, 120111 (2021). https://doi.org/10.1007/s11432-019-2943-6

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  • DOI: https://doi.org/10.1007/s11432-019-2943-6

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