Out Of Distribution Detection On Stl 10
Métriques
Percentage correct
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Percentage correct | Paper Title | Repository |
|---|---|---|---|
| Dropout(Imagenet) | 78.93 | On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks | |
| Baseline (Gaussian) | 73.28 | On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks | |
| Mixup (Gaussian) | 95.93 | On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks | |
| Baseline (Imagenet) | 80.57 | On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks | |
| Dropout(Gaussian) | 70.57 | On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks | |
| Mixup (Imagenet) | 83.28 | On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks |
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