Refining Video-Based Person Re-Identification: An Integrated Framework with Facial and Body Cues
Author:
Affiliation:
1. AHU-IAIAl Joint Laboratory&Anhui University, Hefei, N/A
2. Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China
3. University of Science and Technology of China, Hefei, N/A
Publisher
ACM
Reference23 articles.
1. D. Arkushin et al. 2022. Reface: Improving clothes-changing re-identification with face features. arXiv preprint arXiv:2211.13807 (2022).
2. Spatial-temporal attention-aware learning for video-based person re-identification;G. Chen;IEEE TIP,2019
3. J. Chen et al. 2021. Learning 3D shape feature for texture-insensitive person re-identification. In IEEE CVPR.
4. D. Davila et al. 2023. MEVID: Multi-view Extended Videos with Identities for Video Person Re-Identification. In IEEE CVPR.
5. J. Deng et al. 2019. Arcface: Additive angular margin loss for deep face recognition. In IEEE CVPR.
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