Classification on STL10 Noise (test)
98.58Accuracy (Original)EC
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| ECClassifier Type=End-to-end (EC), Features=DINOv22025.05 | 98.58 | 58.22 | |
| MaWaClassifier Type=Nonlinear (NC), Features=DINOv22025.05 | 98.55 | 86.23 | |
| MaWaClassifier Type=Linear (LC), Features=DINOv22025.05 | 98.11 | 86.09 | |
| WaCoClassifier Type=Nonlinear (NC), Features=DINOv22025.05 | 97.71 | 80.75 | |
| WaCoClassifier Type=Linear (LC), Features=DINOv22025.05 | 97.26 | 78.78 | |
| HSICClassifier Type=Nonlinear (NC), Features=DINOv22025.05 | 97.02 | 45.78 | |
| HSICClassifier Type=Linear (LC), Features=DINOv22025.05 | 95.55 | 45.47 | |
| SCLRClassifier Type=Nonlinear (NC), Features=DINOv22025.05 | 95.4 | 57.75 | |
| SCLRClassifier Type=Linear (LC), Features=DINOv22025.05 | 94.24 | 44.47 | |
| ECEvaluation Protocol=EC, Pre-trained Features=SwAV2025.05 | 94.23 | 40.82 | |
| MaWaEvaluation Protocol=LC, Pre-trained Features=SwAV2025.05 | 93.97 | 73.18 | |
| MaWaEvaluation Protocol=NC, Pre-trained Features=SwAV2025.05 | 93.59 | 72.84 | |
| WaCoEvaluation Protocol=LC, Pre-trained Features=SwAV2025.05 | 87.17 | 68.23 | |
| WaCoEvaluation Protocol=NC, Pre-trained Features=SwAV2025.05 | 86.6 | 67.7 | |
| SCLREvaluation Protocol=NC, Pre-trained Features=SwAV2025.05 | 76.39 | 47.06 | |
| HSICEvaluation Protocol=NC, Pre-trained Features=SwAV2025.05 | 74.38 | 65.05 | |
| SCLREvaluation Protocol=LC, Pre-trained Features=SwAV2025.05 | 73.94 | 46.88 | |
| HSICEvaluation Protocol=LC, Pre-trained Features=SwAV2025.05 | 65.83 | 59.97 |