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pytorch-image-models/docs/models/.templates/models/advprop.md

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AdvProp (EfficientNet)

AdvProp is an adversarial training scheme which treats adversarial examples as additional examples, to prevent overfitting. Key to the method is the usage of a separate auxiliary batch norm for adversarial examples, as they have different underlying distributions to normal examples.

The weights from this model were ported from Tensorflow/TPU.

{% include 'code_snippets.md' %}

How do I train this model?

You can follow the timm recipe scripts for training a new model afresh.

Citation

@misc{xie2020adversarial,
      title={Adversarial Examples Improve Image Recognition}, 
      author={Cihang Xie and Mingxing Tan and Boqing Gong and Jiang Wang and Alan Yuille and Quoc V. Le},
      year={2020},
      eprint={1911.09665},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}