Image Classification on CIFAR-10 4k labels
3.89Error RateMeta Pseudo Labels
Evaluation Results
| Method | Links | |
|---|---|---|
| Meta Pseudo LabelsBackbone=Wide ResNet-28-22023.06 | 3.89 | |
| Doubly Robust Self-TrainingBackbone=Wide ResNet-28-22023.06 | 3.93 | |
| FixMatchBackbone=Wide ResNet-28-22023.06 | 4.31 | |
| UDABackbone=Wide ResNet-28-22023.06 | 4.32 | |
| ReMixMatchBackbone=Wide ResNet-28-22023.06 | 4.72 | |
| MixMatchBackbone=Wide ResNet-28-22023.06 | 4.95 | |
| SWABackbone=Wide ResNet-28-22023.06 | 5 | |
| EnAETBackbone=Wide ResNet-28-22023.06 | 5.35 | |
| MixMatchParameter Amount=36.5 M2020.11 | 5.53 | |
| SHOT-VAEParameter Amount=36.5 M2020.11 | 6.11 | |
| Mean TeacherParameter Amount=36.5 M2020.11 | 6.28 | |
| ICTBackbone=Wide ResNet-28-22023.06 | 7.66 | |
| SHOT-VAEParameter Amount=1.5 M2020.11 | 8.51 | |
| Mean TeacherBackbone=Wide ResNet-28-22023.06 | 9.19 | |
| CT-GANParameter Amount=1.5 M2020.11 | 10.62 | |
| MixupParameter Amount=1.5 M2020.11 | 10.71 | |
| LPParameter Amount=1.5 M2020.11 | 11.82 | |
| LGA + VATBackbone=Wide ResNet-28-22023.06 | 12.06 | |
| Pi-ModelParameter Amount=36.5 M2020.11 | 12.16 | |
| VATParameter Amount=1.5 M2020.11 | 13.13 | |
| Mean TeacherParameter Amount=1.5 M2020.11 | 15.87 | |
| Pseudo-LabelingBackbone=Wide ResNet-28-22023.06 | 16.09 | |
| Pi-ModelParameter Amount=1.5 M2020.11 | 16.37 |