Augmented Dual-Contrastive Aggregation Learning for Unsupervised Visible-Infrared Person Re-Identification
Author:
Affiliation:
1. Wuhan University, Wuhan, China
Funder
Key Research and Development Program of Hubei Province
National Nature Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3503161.3548198
Reference54 articles.
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3. Hao Chen Yaohui Wang Benoit Lagadec Antitza Dantcheva and Francois Bremond. 2021c. Joint generative and contrastive learning for unsupervised person re-identification. In CVPR. 2004--2013. Hao Chen Yaohui Wang Benoit Lagadec Antitza Dantcheva and Francois Bremond. 2021c. Joint generative and contrastive learning for unsupervised person re-identification. In CVPR. 2004--2013.
4. Yanbei Chen Xiatian Zhu and Shaogang Gong. 2019. Instance-guided context rendering for cross-domain person re-identification. In ICCV. 232--242. Yanbei Chen Xiatian Zhu and Shaogang Gong. 2019. Instance-guided context rendering for cross-domain person re-identification. In ICCV. 232--242.
5. Seokeon Choi Sumin Lee Youngeun Kim Taekyung Kim and Changick Kim. 2020. Hi-CMD: Hierarchical cross-modality disentanglement for visible-infrared person re-identification. In CVPR. 10257--10266. Seokeon Choi Sumin Lee Youngeun Kim Taekyung Kim and Changick Kim. 2020. Hi-CMD: Hierarchical cross-modality disentanglement for visible-infrared person re-identification. In CVPR. 10257--10266.
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