OTTT
Reported on 5 benchmarks across 3 tasks · 1 paper
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Computer Vision5 results
- Accuracy (%)· 2022-10-0996.88best: 100 (TENNs-PLEIADES)
- Percentage error· 2022-10-099.6best: 3.64 (PreAct-ResNet18 + FMix)
- Percentage correct· 2022-10-0993.73best: 99.5 (ViT-H/14)
- Percentage correct· 2022-10-0971.05best: 96.08 (EffNet-L2 (SAM))
- Accuracy· 2022-10-0977.1best: 81.7 (tdBN + NDA (VGG11))