DINOv2 (ViT-g/14, frozen model, linear eval)
Reported on 5 benchmarks across 4 tasks · 1 paper · 3 SOTA
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Computer Vision4 results
- Accuracy· uses extra data· 2023-04-14SOTA96.7best: 99.6 (OmniVec2)
- Accuracy· uses extra data· 2023-04-14SOTA96.7best: 99.6 (OmniVec2)
- mean Corruption Error (mCE)· uses extra data· 2023-04-14SOTA28.2
- Percentage correct· uses extra data· 2023-04-1499.5
Methodology1 result
- mean Corruption Error (mCE)· uses extra data· 2023-04-1428.2best: 22 (EfficientNet-L2+RPL)