Metric: Accuracy (higher is better)
| # | Model↕ | Accuracy▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | µ2Net (ViT-L/16) | 84.8 | No | An Evolutionary Approach to Dynamic Introduction... | 2022-05-25 | Code |
| 2 | SEER (RegNet10B - linear eval) | 80 | Yes | Vision Models Are More Robust And Fair When Pret... | 2022-02-16 | Code |
| 3 | Bamboo (ViT-B/16) | 79.5 | Yes | Bamboo: Building Mega-Scale Vision Dataset Conti... | 2022-03-15 | Code |
| 4 | TWIST (ResNet-50) | 67.4 | No | Self-Supervised Learning by Estimating Twin Clas... | 2021-10-14 | Code |
| 5 | NNCLR | 62.5 | No | With a Little Help from My Friends: Nearest-Neig... | 2021-04-29 | Code |