Image Classification on CIFAR-10 (250 labels)
2.42Error RateSemi-SST
Evaluation Results
| Method | Links | |
|---|---|---|
| Semi-SSTBackbone=ViT-Small, Pre-training=DINO2025.05 | 2.42 | |
| Super-SSTBackbone=ViT-Small, Pre-training=DINO2025.05 | 3.37 | |
| FixMatchBackbone=WideResnet-28-2, mu=7, shared_codebase=true2021.04 | 4.55 | |
| FlexMatch2025.05 | 4.61 | |
| SequenceMatchBackbone=Wide-ResNet-28-2, #LABEL=2502023.10 | 4.75 | |
| DP-SSLTraining Labels=2502022.05 | 4.78 | |
| Dash (CTA)Training Labels=2502022.05 | 4.78 | |
| FixMatchlabeled samples=2502021.10 | 4.86 | |
| FixMatchBackbone=Wide-ResNet-28-2, #LABEL=2502023.10 | 4.86 | |
| FreeMatchBackbone=Wide-ResNet-28-2, #LABEL=2502023.10 | 4.88 | |
| Dash2025.05 | 4.95 | |
| AdaMatch2025.05 | 4.97 | |
| FlexMatchlabeled samples=2502021.10 | 4.98 | |
| FlexMatchBackbone=Wide-ResNet-28-2, #LABEL=2502023.10 | 4.98 | |
| FixMatch+AKC+ARC#label=2502021.03 | 4.99 | |
| FixMatch#label=2502021.03 | 5.04 | |
| FixMatch (CTA)Training Labels=2502022.05 | 5.07 | |
| SemCoBackbone=WideResnet-28-2, mu=7, shared_codebase=true2021.04 | 5.12 | |
| SimMatch2025.05 | 5.13 | |
| UDAlabeled samples=2502021.10 | 5.16 | |
| UDABackbone=Wide-ResNet-28-2, #LABEL=2502023.10 | 5.16 | |
| DASHBackbone=Wide-ResNet-28-2, #LABEL=2502023.10 | 5.16 | |
| CoMatch2025.05 | 5.16 | |
| FixMatch2025.05 | 5.23 | |
| CRMatch2025.05 | 5.35 | |
| SimMatchV22025.05 | 5.36 | |
| ReMixMatchTraining Labels=2502022.05 | 5.44 | |
| DoubleMatchTraining Labels=250, Evaluation Protocol=min2022.05 | 5.56 | |
| DoubleMatchTraining Labels=250, Evaluation Protocol=last 202022.05 | 5.72 | |
| MPLBackbone=Wide-ResNet-28-2, #LABEL=2502023.10 | 5.76 | |
| FixMatchBackbone=WideResnet-28-2, mu=3, shared_codebase=true2021.04 | 5.78 | |
| SemCoBackbone=WideResnet-28-2, mu=3, shared_codebase=true2021.04 | 5.87 | |
| ReMixMatchlabeled samples=2502021.10 | 6.3 | |
| ReMixMatchBackbone=Wide-ResNet-28-2, #LABEL=2502023.10 | 6.3 | |
| UDA2025.05 | 6.34 | |
| UDABackbone=WideResnet-28-22021.04 | 8.82 | |
| UDATraining Labels=2502022.05 | 8.82 | |
| MixMatch+AKC+ARC#label=2502021.03 | 8.95 | |
| MixMatch#label=2502021.03 | 10.01 | |
| MixMatchTraining Labels=2502022.05 | 11.05 | |
| MixMatchBackbone=WideResnet-28-2, shared_codebase=true2021.04 | 11.29 | |
| Pseudo label#label=2502021.03 | 12.92 | |
| ReMixMatch2025.05 | 13 | |
| MixMatchlabeled samples=2502021.10 | 13.63 | |
| MixMatchBackbone=Wide-ResNet-28-2, #LABEL=2502023.10 | 13.63 | |
| AKC+ARC#label=2502021.03 | 13.93 | |
| Mean teacher#label=2502021.03 | 14.03 | |
| AKC#label=2502021.03 | 14.49 | |
| ARC#label=2502021.03 | 15.19 | |
| Supervised labeled#label=2502021.03 | 15.92 | |
| PLCBBackbone=WideResnet-28-22021.04 | 24.81 | |
| MixMatch2025.05 | 28.87 | |
| Mean teacherBackbone=WideResnet-28-22021.04 | 32.32 | |
| Mean Teacherlabeled samples=2502021.10 | 37.46 | |
| MeanTeacherBackbone=Wide-ResNet-28-2, #LABEL=2502023.10 | 37.46 | |
| VAT2025.05 | 37.56 | |
| VATlabeled samples=2502021.10 | 41.03 | |
| VATBackbone=Wide-ResNet-28-2, #LABEL=2502023.10 | 41.03 | |
| Π-Modellabeled samples=2502021.10 | 46.24 | |
| Pi ModelBackbone=Wide-ResNet-28-2, #LABEL=2502023.10 | 46.24 | |
| Pseudo-Labelinglabeled samples=2502021.10 | 46.49 | |
| Pseudo LabelBackbone=Wide-ResNet-28-2, #LABEL=2502023.10 | 46.49 | |
| Pseudo-Labeling2025.05 | 48.73 | |
| Pseudo-labelingBackbone=WideResnet-28-22021.04 | 49.78 | |
| Mean Teacher2025.05 | 51.12 | |
| Pi-Model2025.05 | 56.24 |