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Learning Modal-Invariant and Temporal-Memory for Video-based Visible-Infrared Person Re-Identification

This is the official implementation of our paper 'Learning Modal-Invariant and Temporal-Memory for Video-based Visible-Infrared Person Re-Identification'.

Usage

• Usage of this code is free for research purposes only.
• This project is based on DDAG[1] (paper and official code).
• Download and prepare data VCM-HITSZ.
• Download weights of MITML.
• To begin testing.(See the code for more details).
  python test.py
• Please cite our paper for usage.

@inproceedings{lin2022learning,
 title={Learning Modal-Invariant and Temporal-Memory for Video-Based Visible-Infrared Person Re-Identification},
 author={Lin, Xinyu and Li, Jinxing and Ma, Zeyu and Li, Huafeng and Li, Shuang and Xu, Kaixiong and Lu, Guangming and Zhang, David},
 booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
 pages={20973--20982},
 year={2022}
}

• Reference

  [1]Ye M, Shen J, J. Crandall D, et al. Dynamic dual-attentive aggregation learning for visible-infrared person re-identification[C]//Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XVII 16. Springer International Publishing, 2020: 229-247.