Out Of Distribution Detection On Stl 10
Metrics
Percentage correct
Results
Performance results of various models on this benchmark
Model Name | 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 |
0 of 6 row(s) selected.