Adversarial Robustness On Imagenet
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | 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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