Adversarial Robustness On Imagenet
评估指标
Accuracy
评测结果
各个模型在此基准测试上的表现结果
模型名称 | 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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