ML Research Wiki / Benchmarks / Adversarial Robustness / ImageNet

ImageNet

Adversarial Robustness Benchmark

Performance Over Time

📊 Showing 4 results | 📏 Metric: Accuracy

Top Performing Models

Rank Model Paper Accuracy Date Code
1 ResNet-50 (SGD, Cosine) Are Transformers More Robust Than CNNs? 77.40 2021-11-10 📦 ytongbai/ViTs-vs-CNNs
2 ResNet-50 (SGD, Step) Are Transformers More Robust Than CNNs? 76.90 2021-11-10 📦 ytongbai/ViTs-vs-CNNs
3 DeiT-S (AdamW, Cosine) Are Transformers More Robust Than CNNs? 76.80 2021-11-10 📦 ytongbai/ViTs-vs-CNNs
4 ResNet-50 (AdamW, Cosine) Are Transformers More Robust Than CNNs? 76.40 2021-11-10 📦 ytongbai/ViTs-vs-CNNs

All Papers (4)