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Illumination Distillation Framework for Nighttime Person Re-Identification and A New Benchmark (IEEE T-MM2023)

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We uploaded the IDF source code based on the IDE implementation, along with the related models and evaluation results.

Model_file: Google_Yun

Evaluation_mat: Google_Yun

Nighttime Person ReID Dataset download link

Night600: Google_Yun
Night600: Baidu_Yun

RGBNT201-RGB: Google_Yun

Knight: Baidu_Yun

TMM 2023 IDF

PDF: Illumination Distillation Framework for Nighttime Person Re-Identification and A New Benchmark

Citation

Please kindly cite this paper in your publications if it helps your research:

@article{lu2023idf,
  author={Lu, Andong and Zhang, Zhang and Huang, Yan and Zhang, Yifan and Li, Chenglong and Tang, Jin and Wang, Liang},
  journal={IEEE Transactions on Multimedia}, 
  title={Illumination Distillation Framework for Nighttime Person Re-Identification and a New Benchmark}, 
  year={2023},
  pages={1-14},
  doi={10.1109/TMM.2023.3266066}}

Contact: [email protected]

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