Chinese Journal of Liquid Crystals and Displays, Volume. 37, Issue 10, 1364(2022)

Improved generative adversarial network for pedestrian re-identification in clothes

Yu-xia ZHANG1,2, Jin CHE1,2、*, and Yu-ting HE1,2
Author Affiliations
  • 1School of Physics and Electronic-Electrical Engineering,Ningxia University,Yinchuan 750021,China
  • 2Ningxia Key Laboratory of Intelligent Sensing for Desert Information,Yinchuan 750021,China
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    References(30)

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    [15] GE Y X, LI Z W, ZHAO H Y et al. FD-GAN: pose-guided feature distilling GAN for robust person re-identification[C], 1230-1241(2018).

    [18] LIU Y C, SHAO Z R, TENG Y Y et al. NAM: normalization-based attention module[J]. arXiv:(2021).

    [23] ZHANG S L, CAO X. Improved person re-identification algorithm on Camstyle[J]. Computer Engineering and Applications, 56, 124-131(2020).

    [29] TANG Y X. Research on person re-identification based on fusing global features and local features[D](2021).

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    Yu-xia ZHANG, Jin CHE, Yu-ting HE. Improved generative adversarial network for pedestrian re-identification in clothes[J]. Chinese Journal of Liquid Crystals and Displays, 2022, 37(10): 1364

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    Paper Information

    Category: Research Articles

    Received: Mar. 15, 2022

    Accepted: --

    Published Online: Oct. 10, 2022

    The Author Email: Jin CHE (koalache@126.com)

    DOI:10.37188/CJLCD.2022-0086

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