ML Research Wiki / Benchmarks / Adversarial Robustness / ImageNet-C

ImageNet-C

Adversarial Robustness Benchmark

Performance Over Time

📊 Showing 4 results | 📏 Metric: mean Corruption Error (mCE)

Top Performing Models

Rank Model Paper mean Corruption Error (mCE) Date Code
1 ResNet-50 (AdamW, Cosine) Are Transformers More Robust Than CNNs? 59.30 2021-11-10 📦 ytongbai/ViTs-vs-CNNs
2 ResNet-50 (SGD, Step) Are Transformers More Robust Than CNNs? 57.90 2021-11-10 📦 ytongbai/ViTs-vs-CNNs
3 ResNet-50 (SGD, Cosine) Are Transformers More Robust Than CNNs? 56.90 2021-11-10 📦 ytongbai/ViTs-vs-CNNs
4 DeiT-S (AdamW, Cosine) Are Transformers More Robust Than CNNs? 48.00 2021-11-10 📦 ytongbai/ViTs-vs-CNNs

All Papers (4)