/ColorPromptReID

Color Prompting for Data-Free Continual Unsupervised Domain Adaptive Person Re-Identification

Primary LanguagePython

Color Prompting for Data-Free Continual UDA Person Re-ID

Official implementation of "Color Prompting for Data-Free Continual Unsupervised Domain Adaptive Person Re-Identification".

pipeline

Highlight ✨

  • We propose a Color Prompting (CoP) method for for data-free continual unsupervised domain adaptive person Re-ID.
  • CoP employs a color style transfer process to rehearse the information of previous tasks without storing the data.
  • The proposed CoP achieves 6.7% and 8.1% average rank-1 improvements over the replay method on seen and unseen domains, respectively.

Datasets

Put the datasets into ../data.

Experiment Commands

Pre-train the model on the source domain.

sh scripts/pretrain_market.sh

Conduct single domain adaptation.

sh scripts/single_continual.sh

Conduct multiple domain adpatation.

sh scripts/multi_continual.sh

Citation

If you find this work helpful, please cite:

@article{gu2023color,
  title={Color Prompting for Data-Free Continual Unsupervised Domain Adaptive Person Re-Identification},
  author={Gu, Jianyang and Luo, Hao and Wang, Kai and Jiang, Wei and You, Yang and Zhao, Jian},
  journal={arXiv preprint arXiv:2308.10716},
  year={2023}
}