awesome_video_person_reid

only focus on video person re-identification.

TODO

I will update this repository in the near future.

SOTA:

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]

Leaderboard for 4 benchmarks

please refer to LEADERBOARD.md for the leaderboard on public benchmarks.

Citation

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}
}