Image Classification on CIFAR-10 40 labels (test)
97.94Top-1 AccuracyAdaMatch
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| AdaMatchBackbone=ViT, Pre-trained=true2023.10 | 97.94 | — | — | — | — | — | — | |
| InstanTBackbone=ViT, Pre-trained=true2023.10 | 97.93 | — | — | — | — | — | — | |
| UDABackbone=ViT, Pre-trained=true2023.10 | 97.92 | — | — | — | — | — | — | |
| FlexMatchBackbone=ViT, Pre-trained=true2023.10 | 97.78 | — | — | — | — | — | — | |
| FixMatchBackbone=ViT, Pre-trained=true2023.10 | 97.44 | — | — | — | — | — | — | |
| MixMatchBackbone=ViT, Pre-trained=true2023.10 | 97.16 | — | — | — | — | — | — | |
| DashBackbone=ViT, Pre-trained=true2023.10 | 96.63 | — | — | — | — | — | — | |
| ShrinkMatchBackbone=Wide ResNet-28-2, Number of labels=402023.08 | 94.92 | — | 95.09 | 94.66 | 95.12 | 94.78 | 94.95 | |
| SimMatchBackbone=Wide ResNet-28-2, Number of labels=402023.08 | 94.39 | — | 95.34 | 95.16 | 92.63 | 93.76 | 95.1 | |
| VATBackbone=ViT, Pre-trained=true2023.10 | 93.33 | — | — | — | — | — | — | |
| PLBackbone=ViT, Pre-trained=true2023.10 | 88.21 | — | — | — | — | — | — | |
| MTBackbone=ViT, Pre-trained=true2023.10 | 87.15 | — | — | — | — | — | — | |
| FixMatch2022.02 | — | 13.81 | — | — | — | — | — | |
| FixMatch + CMW-Net2022.02 | — | 9.6 | — | — | — | — | — | |
| MixMatch2022.02 | — | 47.54 | — | — | — | — | — | |
| UDA2022.02 | — | 29.05 | — | — | — | — | — |