Image Classification on STL-10 250 labels
1.4Error RateSemi-SST
Evaluation results
| Method | Links | |
|---|---|---|
| Semi-SSTBackbone=ViT-Small, Pre-training=DINO2025.05 | 1.4 | |
| Super-SSTBackbone=ViT-Small, Pre-training=DINO2025.05 | 1.59 | |
| CRMatch2025.05 | 7.63 | |
| SimMatchV22025.05 | 8.27 | |
| SimMatch2025.05 | 8.59 | |
| Dash2025.05 | 8.64 | |
| AdaMatch2025.05 | 9.85 | |
| FixMatch2025.05 | 10.11 | |
| CoMatch2025.05 | 10.5 | |
| UDA2025.05 | 11.14 | |
| FlexMatch2025.05 | 14.87 | |
| ReMixMatch2025.05 | 32.05 | |
| VAT2025.05 | 49.3 | |
| Mean Teacher2025.05 | 51.9 | |
| Pseudo-Labeling2025.05 | 52.2 | |
| Pi-Model2025.05 | 55.07 | |
| MixMatch2025.05 | 57.78 |