MSO: Multi-Feature Space Joint Optimization Network for RGB-Infrared Person Re-Identification
Author:
Affiliation:
1. Beijing Jiaotong University, Beijing, China
2. Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China
3. JD AI Research, Beijing, China
4. Beijing Jiaotong Univeristy, Beijing, China
Funder
National Natural Science Foundation of China
Grapevine Scholar Plan of JD AI Research
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3474085.3475643
Reference54 articles.
1. Pose-Guided Tracking-by-Detection;Bao Qian;Robust Multi-Person Pose Tracking. IEEE Trans. Multim.,2021
2. 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. 10254--10263. 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. 10254--10263.
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