Explainable graph-attention based person re-identification in outdoor conditions
Author:
Funder
Nvidia
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16986-3.pdf
Reference50 articles.
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3. Bukhari M, Yasmin S, Naz S, Maqsood M, Rew J, Rho S (2023) Language and vision based person re-identification for surveillance systems using deep learning with lip layers. Image Vis Comput, 132(104):658
4. Chen X, Zheng L, Zhao C, Wang Q, Li M (2020) RRGCCAN: Re-Ranking via Graph Convolution Channel Attention Network for Person Re-Identification. IEEE Access, 8:131,352–131,360 10.1109/access.2020.3009653
5. Guo J, Yuan Y, Huang L, Zhang C, Yao JG, Han K (2019) Beyond human parts: Dual part-aligned representations for person re-identification. In: Proceedings of the ICCV, pp 3642–3651. https://doi.org/10.1109/iccv.2019.00374
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