MvHAAN: multi-view hierarchical attention adversarial network for person re-identification-Reference-Cited by-同舟云学术

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MvHAAN: multi-view hierarchical attention adversarial network for person re-identification

Published:2024-08-22 Issue:5 Volume:27 Page:
ISSN:1386-145X
Container-title:World Wide Web
language:en
Short-container-title:World Wide Web

Author:

Zhu Lei,Yu Weiren,Zhu Xinghui,Zhang Chengyuan,Li Yangding,Zhang Shichao

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Scientific Research Project of Hunan Provincial Department of Education

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11280-024-01298-9.pdf

Reference59 articles.

1. Ning, X., Gong, K., Li, W., Zhang, L., Bai, X., Tian, S.: Feature refinement and filter network for person re-identification. IEEE Trans. Circuits Syst. Video Technol. 31(9), 3391–3402 (2020)

2. Zhang, C., Zhu, L., Zhang, S., Yu, W.: Pac-gan: an effective pose augmentation scheme for unsupervised cross-view person re-identification. Neurocomputing 387, 22–39 (2020)

3. Wu, L., Wang, Y., Gao, J., Li, X.: Deep adaptive feature embedding with local sample distributions for person re-identification. Pattern Recogn. 73, 275–288 (2018)

4. Li, D., Chen, X., Zhang, Z., Huang, K.: Learning deep context-aware features over body and latent parts for person re-identification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 384–393 (2017)

5. Bak, S., Carr, P.: One-shot metric learning for person re-identification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2990–2999 (2017)

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