PRIS-CV / Top-Down-Spatial-Attention-Loss

Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features

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Top-Down-Spatial-Attention-Loss

Code release for Top-Down-Spatial-Attention-Loss arXiv

Changelog

  • 2021/01/24 update the code

Dataset

CUB-200-2011

Requirements

  • python 3.6
  • PyTorch 1.2.0
  • torchvision

Training

  • Download datasets
  • Train: python Birds_TDSA_Loss.py
  • Description : PyTorch CUB-200-2011 Training with VGG16 (TRAINED FROM SCRATCH).

Citation

If you find this paper useful in your research, please consider citing:

@article{chang2021TOP,
  title={Fine-Grained Visual Classification via Simultaneously Learning of
  Multi-regional Multi-grained Features},
  author={Chang, Dongliang and Zheng, Yixiao and Ma, Zhanyu and Du, Ruoyi and Liang, Kongming},
  journal={arXiv preprint arXiv:2102.00367},
  year={2021}
}

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Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features

License:MIT License


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Language:Python 100.0%