Unsupervised person re-identification based on high-quality pseudo labels
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-04270-0.pdf
Reference41 articles.
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2. Lyu C, Ning W, Wang C, Wang K (2022) A multi-branch attention and alignment network for person re-identification. Appl Intell Online. https://doi.org/10.1007/s10489-021-02885-3
3. Li M, Zhu X, Gong S (2020) Unsupervised tracklet Person re-identification. IEEE Trans Pattern Anal Mach Intell 42(7):1770–1782. https://doi.org/10.1109/TPAMI.2019.2903058
4. Jiang K, Zhang T, Zhang Y, Wu F, Rui Y (2020) Self-supervised agent learning for unsupervised cross-domain person re-identification. IEEE Trans Image Processing 29:8549–8560. https://doi.org/10.1109/TIP.2020.3016869
5. Cheng D, Li J, Kou Q, Zhao K, Liu R (2022) H-net: unsupervised domain adaptation person re-identification network based on hierarchy Image. Vis Comput 124:104493. https://doi.org/10.1016/j.imavis.2022.104493
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