GeoTexAug (ResNet18)
Reported on 3 benchmarks across 3 tasks
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Computer Vision2 results
- Accuracy65best: 70.37 (Crafting-Shifts(ResNet18))
- Accuracy65best: 70.37 (Crafting-Shifts(ResNet18))
Methodology1 result
- Accuracy65best: 88.09 (SSGEN)