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Adversarial Robustness On Imagenet
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
| Paper Title | ||
|---|---|---|
| ResNet-50 (SGD, Cosine) | 77.4 | 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? |
| ResNet-50 (AdamW, Cosine) | 76.4 | Are Transformers More Robust Than CNNs? |
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