Feature Boosting, Suppression, and Diversification for Fine-Grained Visual Classification

PyTorch Code for Feature Boosting, Suppression, and Diversification for Fine-Grained Visual Classification

Requirement

python 3.6.5

PyTorch >= 1.2.0

torchvision >= 0.4.0

Training

change root_dir in the config.py and run python3 train.py (You can change other hyper-parameters in the config.py)

Citation

Please cite our paper if it is helpful for your research.

@misc{song2021feature,
      title={Feature Boosting, Suppression, and Diversification for Fine-Grained Visual Classification}, 
      author={Jianwei Song and Ruoyu Yang},
      year={2021},
      eprint={2103.02782},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

Contact

Thanks for your attention! If you have any suggestion or question, you can open an issue or contact songjianwei@smail.nju.edu.cn