Person re-identification method with Mahalanobis TRM triplet on multi-branch network-Reference-Cited by-同舟云学术

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Person re-identification method with Mahalanobis TRM triplet on multi-branch network

Published:2023-10-25 Issue:23 Volume:53 Page:29183-29204
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Wang Zhengyang,Ye Xiufen,Shang Xue,Ge Shuzhi Sam,Guo Shuxiang

Funder

National Natural Science Foundation of China

Fundamental Research Funds for Central Universities of the Central South University

China Scholarship Council

Ministry of Education - Singapore

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-023-05039-9.pdf

Reference60 articles.

1. Wu D, Zheng S-J, Zhang X-P, Yuan C-A, Cheng F, Zhao Y, Lin Y-J, Zhao Z-Q, Jiang Y-L, Huang D-S (2019) Deep learning-based methods for person re-identification: A comprehensive review. Neurocomputing 337:354–371

2. Ye M, Shen J, Lin G, Xiang T, Shao L, Hoi SC (2021) Deep learning for person re-identification: A survey and outlook. IEEE Trans Pattern Anal Mach Intell 44(6):2872–2893

3. Sun Y, Zheng L, Yang Y, Tian Q, Wang S (2018) Beyond part models: Person retrieval with refined part pooling (and a strong convolutional baseline). In: Proceedings of the European conference on computer vision (ECCV), pp 480–496

4. Wang G, Yuan Y, Chen X, Li J, Zhou X (2018) Learning discriminative features with multiple granularities for person re-identification. In: Proceedings of the 26th ACM international conference on multimedia, pp 274–282

5. Li R, Zhang B, Teng Z, Fan J (2021) A divide-and-unite deep network for person re-identification. Appl Intell 51(3):1479–1491

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