Image Classification on STL-10 100 labels (test)
89.56Top-1 AccDash
Evaluation results
| Method | Links | |
|---|---|---|
| DashBackbone=ViT, Pre-trained=true2023.10 | 89.56 | |
| FlexMatchBackbone=ViT, Pre-trained=true2023.10 | 89.54 | |
| UDABackbone=ViT, Pre-trained=true2023.10 | 89.46 | |
| InstanTBackbone=ViT, Pre-trained=true2023.10 | 89.35 | |
| AdaMatchBackbone=ViT, Pre-trained=true2023.10 | 89.25 | |
| FixMatchBackbone=ViT, Pre-trained=true2023.10 | 88.41 | |
| VATBackbone=ViT, Pre-trained=true2023.10 | 80.94 | |
| MTBackbone=ViT, Pre-trained=true2023.10 | 77.71 | |
| PLBackbone=ViT, Pre-trained=true2023.10 | 73.44 | |
| MixMatchBackbone=ViT, Pre-trained=true2023.10 | 61.85 |