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SotA/Adversarial/Adversarial Robustness/Stylized ImageNet

Adversarial Robustness on Stylized ImageNet

Metric: Accuracy (higher is better)

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#Model↕Accuracy▼Extra DataPaperDate↕Code
1DeiT-S (AdamW, Cosine)13NoAre Transformers More Robust Than CNNs?2021-11-10Code
2ResNet-50 (SGD, Cosine)8.4NoAre Transformers More Robust Than CNNs?2021-11-10Code
3ResNet-50 (SGD, Step)8.3NoAre Transformers More Robust Than CNNs?2021-11-10Code
4ResNet-50 (AdamW, Cosine)8.1NoAre Transformers More Robust Than CNNs?2021-11-10Code