Adversarial Robustness On Imagenet C
평가 지표
mean Corruption Error (mCE)
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | mean Corruption Error (mCE) | Paper Title | Repository |
|---|---|---|---|
| DeiT-S (AdamW, Cosine) | 48.0 | Are Transformers More Robust Than CNNs? | |
| ResNet-50 (SGD, Step) | 57.9 | Are Transformers More Robust Than CNNs? | |
| ResNet-50 (SGD, Cosine) | 56.9 | Are Transformers More Robust Than CNNs? | |
| ResNet-50 (AdamW, Cosine) | 59.3 | Are Transformers More Robust Than CNNs? |
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