Image Classification on STL-10 40 labels (test)
85.09Top-1 AccuracyInstanT
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| InstanTBackbone=ViT, Pre-trained=true2023.10 | 85.09 | — | — | — | — | |
| AdaMatchBackbone=ViT, Pre-trained=true2023.10 | 83.5 | — | — | — | — | |
| UDABackbone=ViT, Pre-trained=true2023.10 | 79.67 | — | — | — | — | |
| FlexMatchBackbone=ViT, Pre-trained=true2023.10 | 78.17 | — | — | — | — | |
| DashBackbone=ViT, Pre-trained=true2023.10 | 78.03 | — | — | — | — | |
| FixMatchBackbone=ViT, Pre-trained=true2023.10 | 77.72 | — | — | — | — | |
| MTBackbone=ViT, Pre-trained=true2023.10 | 66.8 | — | — | — | — | |
| VATBackbone=ViT, Pre-trained=true2023.10 | 65.18 | — | — | — | — | |
| PLBackbone=ViT, Pre-trained=true2023.10 | 57.16 | — | — | — | — | |
| MixMatchBackbone=ViT, Pre-trained=true2023.10 | 27.58 | — | — | — | — | |
| FixMatchBackbone=WRN-37-2, Labeled batch size=64, Learning rate=0.03, Confidence threshold=0.952023.08 | — | 65.85 | 67.94 | 58.3 | 64.03 | |
| FlexMatchBackbone=WRN-37-2, Labeled batch size=64, Learning rate=0.03, Confidence threshold=0.952023.08 | — | 76.71 | 68.28 | 67.55 | 70.85 | |
| ShrinkMatchBackbone=WRN-37-2, Labeled batch size=64, Learning rate=0.03, Confidence threshold=0.952023.08 | — | 85.75 | 85.64 | 86.55 | 85.98 |