APR-SP + DeepAugment (ResNet-50)
Reported on 2 benchmarks across 2 tasks · 1 paper
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Methodology1 result
- mean Corruption Error (mCE)· 2021-08-1957.5best: 22 (EfficientNet-L2+RPL)
Computer Vision1 result
- mean Corruption Error (mCE)· 2021-08-1957.5best: 28.2 (DINOv2 (ViT-g/14, frozen model, linear eval))