Chinese Journal of Liquid Crystals and Displays, Volume. 37, Issue 10, 1364(2022)
Improved generative adversarial network for pedestrian re-identification in clothes
[2] ZHENG L, YANG Y, HAUPTMANN A G. Person re-identification: past, present and future[J]. arXiv(2016).
[5] GE Y X, CHEN D P, LI H S. Mutual mean-teaching: pseudo label refinery for unsupervised domain adaptation on person re-identification[C](2020).
[10] ZHANG L, CHE J, YANG Q. Multi-granularity feature fusion for person re-identification[J]. Chinese Journal of Liquid Crystals and Displays, 35, 555-563(2020).
[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).
Get Citation
Copy Citation Text
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
Category: Research Articles
Received: Mar. 15, 2022
Accepted: --
Published Online: Oct. 10, 2022
The Author Email: Jin CHE (koalache@126.com)