only focus on video person re-identification.
I will update this repository in the near future.
| No. | Dataset | Rank1 | mAP | Link |
|---|---|---|---|---|
| 1 | PRID | 97.4% | Null | paper |
| 2 | iLIDS-VID | 92.0% | Null | paper[ICCV2021] |
| 3 | Mars | 91.4% | 86.7% | paper[CVPR2021] |
| 4 | DukeMTMC | 98.3% | 97.4% | paper[ICCV2021] |
| 5 | LS-VID | 84.6% | 75.1% | paper[CVPR2021] |
please refer to LEADERBOARD.md for the leaderboard on public benchmarks.
If you find this repo useful, please kindly cite the following paper:
@inproceedings{yu2024tf,
title={TF-CLIP: Learning Text-Free CLIP for Video-Based Person Re-identification},
author={Yu, Chenyang and Liu, Xuehu and Wang, Yingquan and Zhang, Pingping and Lu, Huchuan},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
volume={38},
number={7},
pages={6764--6772},
year={2024}
}
@inproceedings{liu2021watching,
title={Watching You: Global-guided Reciprocal Learning for Video-based Person Re-identification},
author={Liu, Xuehu and Zhang, Pingping and Yu, Chenyang and Lu, Huchuan and Yang, Xiaoyun},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={13334--13343},
year={2021}
}
@article{liu2023deeply,
title={Deeply coupled convolution--transformer with spatial--temporal complementary learning for video-based person re-identification},
author={Liu, Xuehu and Yu, Chenyang and Zhang, Pingping and Lu, Huchuan},
journal={IEEE Transactions on Neural Networks and Learning Systems},
year={2023},
publisher={IEEE}
}
@article{liu2021video,
title={A Video Is Worth Three Views: Trigeminal Transformers for Video-based Person Re-identification},
author={Liu, Xuehu and Zhang, Pingping and Yu, Chenyang and Lu, Huchuan and Qian, Xuesheng and Yang, Xiaoyun},
journal={arXiv preprint arXiv:2104.01745},
year={2021}
}
@inproceedings{gao2024part,
title={Part Representation Learning with Teacher-Student Decoder for Occluded Person Re-Identification},
author={Gao, Shang and Yu, Chenyang and Zhang, Pingping and Lu, Huchuan},
booktitle={ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
pages={2660--2664},
year={2024},
organization={IEEE}
}
@inproceedings{gao2023ped,
title={Ped-Mix: Mix Pedestrians for Occluded Person Re-identification},
author={Gao, Shang and Yu, Chenyang and Zhang, Pingping and Lu, Huchuan},
booktitle={Chinese Conference on Pattern Recognition and Computer Vision (PRCV)},
pages={265--277},
year={2023},
organization={Springer}
}