Laser & Optoelectronics Progress, Volume. 59, Issue 10, 1010010(2022)

Fine-Grained Cross-Modality Person Re-Identification Based on Mutual Prediction Learning

Shuang Li1,2, Huafeng Li1,2, and Fan Li1,2、*
Author Affiliations
  • 1Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, Yunnan , China
  • 2Yunnan Key Laboratory of Artificial Intelligence, Kunming 650500, Yunnan , China
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    References(40)

    [1] Liu K W, Fang P P, Xiong H X et al. Person re-identification based on multi-layer feature[J]. Laser & Optoelectronics Progress, 57, 081503(2020).

    [2] Liu S, Dang J W, Wang S et al. Person re-identification based on first-order and second-order spatial information[J]. Laser & Optoelectronics Progress, 58, 0215005(2021).

    [3] Zhang T, Yi Z M, Li X et al. Improved algorithm for person re-identification based on global features[J]. Laser & Optoelectronics Progress, 57, 241503(2020).

    [4] Wu K, Zhang B H, Lü X Q et al. Person re-identification based on squeeze and excitation residual neural network and feature fusion[J]. Laser & Optoelectronics Progress, 57, 181007(2020).

    [9] Li C, Jiang M, Kong J. Multi-branch person re-identification based on multi-scale attention[J]. Laser & Optoelectronics Progress, 57, 201001(2020).

    [30] Ye M, Lan X, Li J et al. Hierarchical discriminative learning for visible thermal person re-identification[C], 7501-7508(2018).

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    Shuang Li, Huafeng Li, Fan Li. Fine-Grained Cross-Modality Person Re-Identification Based on Mutual Prediction Learning[J]. Laser & Optoelectronics Progress, 2022, 59(10): 1010010

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    Paper Information

    Category: Image Processing

    Received: Jul. 8, 2021

    Accepted: Sep. 23, 2021

    Published Online: May. 16, 2022

    The Author Email: Li Fan (478263823@qq.com)

    DOI:10.3788/LOP202259.1010010

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