Image Classification on SVHN 40 labels
1.96Error RateSequenceMatch
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SequenceMatchBackbone=Wide-ResNet-28-2, #LABEL=402023.10 | 1.96 | — | |
| FreeMatchBackbone=Wide-ResNet-28-2, #LABEL=402023.10 | 1.97 | — | |
| DASHBackbone=Wide-ResNet-28-2, #LABEL=402023.10 | 2.19 | — | |
| FlexMatch2025.05 | 2.6 | — | |
| DP-SSLTraining Labels=402022.05 | 2.98 | — | |
| Boosted SSLlabeled samples=402020.12 | 3.09 | — | |
| Dash (CTA)Training Labels=402022.05 | 3.14 | — | |
| ReMixMatchlabeled samples=402020.12 | 3.34 | — | |
| ReMixMatchTraining Labels=402022.05 | 3.34 | — | |
| Dash2025.05 | 3.37 | — | |
| FixMatchBackbone=Wide-ResNet-28-2, #LABEL=402023.10 | 3.81 | — | |
| FixMatchlabeled samples=40, augmentation=RandAugment2020.12 | 3.96 | — | |
| UDABackbone=Wide-ResNet-28-2, #LABEL=402023.10 | 5.12 | — | |
| CoMatch2025.05 | 5.26 | — | |
| FixMatch2025.05 | 5.28 | — | |
| AdaMatch2025.05 | 5.42 | — | |
| SimMatch2025.05 | 6.14 | — | |
| SimMatchV22025.05 | 7.6 | — | |
| FixMatchlabeled samples=40, augmentation=CTA2020.12 | 7.65 | — | |
| FixMatch (CTA)Training Labels=402022.05 | 7.65 | — | |
| FlexMatchBackbone=Wide-ResNet-28-2, #LABEL=402023.10 | 8.19 | — | |
| CRMatch2025.05 | 8.2 | — | |
| MPLBackbone=Wide-ResNet-28-2, #LABEL=402023.10 | 9.33 | — | |
| DoubleMatchTraining Labels=40, Evaluation Protocol=min2022.05 | 15.37 | — | |
| UDA2025.05 | 16.43 | — | |
| DoubleMatchTraining Labels=40, Evaluation Protocol=last 202022.05 | 16.5 | — | |
| Semi-SSTBackbone=ViT-Small, Pre-training=DINO2025.05 | 23.18 | — | |
| ReMixMatchBackbone=Wide-ResNet-28-2, #LABEL=402023.10 | 24.04 | — | |
| ReMixMatch2025.05 | 27.77 | — | |
| Super-SSTBackbone=ViT-Small, Pre-training=DINO2025.05 | 29.41 | — | |
| MixMatchBackbone=Wide-ResNet-28-2, #LABEL=402023.10 | 30.6 | — | |
| MeanTeacherBackbone=Wide-ResNet-28-2, #LABEL=402023.10 | 36.09 | — | |
| MixMatchlabeled samples=402020.12 | 42.55 | — | |
| MixMatchTraining Labels=402022.05 | 42.55 | — | |
| VAT2025.05 | 49.34 | — | |
| UDAlabeled samples=402020.12 | 52.63 | — | |
| UDATraining Labels=402022.05 | 52.63 | — | |
| Pseudo LabelBackbone=Wide-ResNet-28-2, #LABEL=402023.10 | 64.61 | — | |
| Pi ModelBackbone=Wide-ResNet-28-2, #LABEL=402023.10 | 67.48 | — | |
| VATBackbone=Wide-ResNet-28-2, #LABEL=402023.10 | 74.75 | — | |
| Mean Teacher2025.05 | 75.98 | — | |
| Pseudo-Labeling2025.05 | 80.07 | — | |
| Pi-Model2025.05 | 82.68 | — | |
| MixMatch2025.05 | 84.12 | — | |
| CRMatch2023.11 | — | 7.14 | |
| Dash2023.11 | — | 2.08 | |
| DoubleMatch2023.11 | — | 15.37 | |
| FixMatch2023.11 | — | 2.08 | |
| FreeMatch2023.11 | — | 3.79 | |
| FullMatch2023.11 | — | 2.35 | |
| MeanTeacher2023.11 | — | 81.94 | |
| MPL2023.11 | — | 9.33 | |
| NP-Match2023.11 | — | 14.2 | |
| Pi Model2023.11 | — | 77.38 | |
| RefixMatch2023.11 | — | 2.15 | |
| SimMatchV22023.11 | — | 7.92 | |
| SoftMatch2023.11 | — | 2.31 |