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[PRCV 2022] Improving Pre-trained Masked Autoencoder via Locality Enhancement for Person Re-identification

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[PRCV 2022] Improving Pre-trained Masked Autoencoder via Locality Enhancement for Person Re-identification

Installation

conda env create -f environment.yaml

Checkpoints Download

https://pan.baidu.com/s/1zE4CKeQnfqsZSEVOp8ov8w (Password: m2tt)

Pre-train & Fine-tuning

Please refer to example_pretrain.sh and example_finetune.sh for more details.

Citation

@inproceedings{lu2022improving,
  title={Improving Pre-trained Masked Autoencoder via Locality Enhancement for Person Re-identification},
  author={Lu, Yanzuo and Zhang, Manlin and Lin, Yiqi and Ma, Andy J and Xie, Xiaohua and Lai, Jianhuang},
  booktitle={Chinese Conference on Pattern Recognition and Computer Vision (PRCV)},
  pages={509-521},
  year={2022}
}

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[PRCV 2022] Improving Pre-trained Masked Autoencoder via Locality Enhancement for Person Re-identification

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