Adversarial Robustness On Imagenet
평가 지표
Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | Accuracy | Paper Title | Repository |
|---|---|---|---|
| ResNet-50 (SGD, Cosine) | 77.4 | Are Transformers More Robust Than CNNs? | - |
| ResNet-50 (AdamW, Cosine) | 76.4 | Are Transformers More Robust Than CNNs? | - |
| ResNet-50 (SGD, Step) | 76.9 | Are Transformers More Robust Than CNNs? | - |
| DeiT-S (AdamW, Cosine) | 76.8 | Are Transformers More Robust Than CNNs? | - |
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