PRIME with JSD (ResNet-50)
Reported on 6 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.
Methodology3 results
- Top-1 Error Rate· 2021-12-2753.7best: 3.9 (Model soups (BASIC-L))
- Top 1 Accuracy· 2021-12-2756.4best: 73.6 (FAN-L-Hybrid (IN-22k))
- mean Corruption Error (mCE)· 2021-12-2755.5best: 22 (EfficientNet-L2+RPL)
Computer Vision3 results
- Top-1 Error Rate· 2021-12-2753.7best: 3.9 (Model soups (BASIC-L))
- Top 1 Accuracy· 2021-12-2756.4best: 73.6 (FAN-L-Hybrid (IN-22k))
- mean Corruption Error (mCE)· 2021-12-2755.5best: 28.2 (DINOv2 (ViT-g/14, frozen model, linear eval))