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ResearchFormerly WizWand

Classification on STL10 Rotation (test)

98.62Accuracy (Original Data)MaWa
70.831278.045685.2692.4744May 16, 2025
Updated 6mo ago

Evaluation results

MethodLinks
MaWaClassifier Type=Nonlinear (NC), Features=DINOv22025.0598.6294.74
ECClassifier Type=End-to-end (EC), Features=DINOv22025.0598.5871.22
MaWaClassifier Type=Linear (LC), Features=DINOv22025.0598.2294.66
WaCoClassifier Type=Nonlinear (NC), Features=DINOv22025.0598.0292.3
WaCoClassifier Type=Linear (LC), Features=DINOv22025.0597.6691.09
ECEvaluation Protocol=EC, Pre-trained Features=SwAV2025.0594.2350.35
MaWaEvaluation Protocol=LC, Pre-trained Features=SwAV2025.0593.4481.58
MaWaEvaluation Protocol=NC, Pre-trained Features=SwAV2025.0593.2180.79
SCLRClassifier Type=Nonlinear (NC), Features=DINOv22025.0591.3886.72
SCLRClassifier Type=Linear (LC), Features=DINOv22025.0591.2186.3
WaCoEvaluation Protocol=NC, Pre-trained Features=SwAV2025.0588.5980.98
WaCoEvaluation Protocol=LC, Pre-trained Features=SwAV2025.0588.2180.86
HSICClassifier Type=Nonlinear (NC), Features=DINOv22025.0587.4281.28
HSICEvaluation Protocol=NC, Pre-trained Features=SwAV2025.0581.6777.83
SCLREvaluation Protocol=NC, Pre-trained Features=SwAV2025.0579.6976.78
SCLREvaluation Protocol=LC, Pre-trained Features=SwAV2025.0579.576.31
HSICClassifier Type=Linear (LC), Features=DINOv22025.0577.3872.98
HSICEvaluation Protocol=LC, Pre-trained Features=SwAV2025.0571.969.49