Out Of Distribution Detection On Cifar 10
Metrics
AUROC
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | AUROC |
|---|---|
| simultaneous-classification-and-novelty | 99.7 |
| deep-hybrid-models-for-out-of-distribution | 100 |
| deep-anomaly-detection-with-outlier-exposure | 97.8 |
| boosting-out-of-distribution-detection-with-1 | 99.12 |
| feature-space-singularity-for-out-of | 99.5 |
| deep-anomaly-detection-with-outlier-exposure | 97.8 |
| an-effective-baseline-for-robustness-to | 99.9 |
| using-self-supervised-learning-can-improve | 96.2 |
| rodd-a-self-supervised-approach-for-robust | 99.43 |
| amplitude-phase-recombination-rethinking | 98.1 |