Image Classification on SVHN 1000 labels
1.79Error RateSequenceMatch
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SequenceMatchBackbone=Wide-ResNet-28-2, #LABEL=10002023.10 | 1.79 | — | |
| UDABackbone=Wide-ResNet-28-2, #LABEL=10002023.10 | 1.89 | — | |
| FixMatch2025.05 | 1.94 | — | |
| FlexMatch2025.05 | 1.95 | — | |
| FixMatchBackbone=Wide-ResNet-28-2, #LABEL=10002023.10 | 1.96 | — | |
| FreeMatchBackbone=Wide-ResNet-28-2, #LABEL=10002023.10 | 1.96 | — | |
| DASHBackbone=Wide-ResNet-28-2, #LABEL=10002023.10 | 1.97 | — | |
| DP-SSLTraining Labels=10002022.05 | 1.99 | — | |
| CRMatch2025.05 | 2.01 | — | |
| Dash2025.05 | 2.02 | — | |
| SimMatch2025.05 | 2.02 | — | |
| SimMatchV22025.05 | 2.05 | — | |
| CoMatch2025.05 | 2.08 | — | |
| DoubleMatchTraining Labels=1000, Evaluation Protocol=min2022.05 | 2.1 | — | |
| Fully-SupervisedBackbone=Wide-ResNet-28-2, #LABEL=10002023.10 | 2.13 | — | |
| Dash (CTA)Training Labels=10002022.05 | 2.14 | — | |
| DoubleMatchTraining Labels=1000, Evaluation Protocol=last 202022.05 | 2.25 | — | |
| MPLBackbone=Wide-ResNet-28-2, #LABEL=10002023.10 | 2.28 | — | |
| FixMatch (CTA)Training Labels=10002022.05 | 2.36 | — | |
| UDATraining Labels=10002022.05 | 2.46 | — | |
| ReMixMatchTraining Labels=10002022.05 | 2.65 | — | |
| MixMatch2025.05 | 2.87 | — | |
| Semi-SSTBackbone=ViT-Small, Pre-training=DINO2025.05 | 2.97 | — | |
| Super-SSTBackbone=ViT-Small, Pre-training=DINO2025.05 | 3.1 | — | |
| MeanTeacherBackbone=Wide-ResNet-28-2, #LABEL=10002023.10 | 3.27 | — | |
| VAT2025.05 | 3.28 | — | |
| MixMatchTraining Labels=10002022.05 | 3.5 | — | |
| MixMatchBackbone=Wide-ResNet-28-2, #LABEL=10002023.10 | 3.69 | — | |
| ReMixMatch2025.05 | 3.85 | — | |
| VATBackbone=Wide-ResNet-28-2, #LABEL=10002023.10 | 4.11 | — | |
| ReMixMatchBackbone=Wide-ResNet-28-2, #LABEL=10002023.10 | 5.16 | — | |
| UDA2025.05 | 5.36 | — | |
| FlexMatchBackbone=Wide-ResNet-28-2, #LABEL=10002023.10 | 6.72 | — | |
| Pseudo-Labeling2025.05 | 6.9 | — | |
| Pi ModelBackbone=Wide-ResNet-28-2, #LABEL=10002023.10 | 7.16 | — | |
| AdaMatch2025.05 | 7.9 | — | |
| Mean Teacher2025.05 | 9.37 | — | |
| Pseudo LabelBackbone=Wide-ResNet-28-2, #LABEL=10002023.10 | 9.4 | — | |
| Pi-Model2025.05 | 12.19 | — | |
| CRMatch2023.11 | — | 1.91 | |
| Dash2023.11 | — | 2.03 | |
| DoubleMatch2023.11 | — | 2.1 | |
| FixMatch2023.11 | — | 2 | |
| FreeMatch2023.11 | — | 4.31 | |
| FullMatch2023.11 | — | 1.99 | |
| MeanTeacher2023.11 | — | 12.29 | |
| MPL2023.11 | — | 2.28 | |
| NP-Match2023.11 | — | 5.59 | |
| Pi Model2023.11 | — | 7.24 | |
| RefixMatch2023.11 | — | 1.89 | |
| SimMatchV22023.11 | — | 2.85 | |
| SoftMatch2023.11 | — | 2.08 |