Out Of Distribution Detection On Cifar 100 Vs
Metriken
AUPR
AUROC
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | AUPR | AUROC |
|---|---|---|
| simultaneous-classification-and-novelty | 35.2 | 78.7 |
| exploring-the-limits-of-out-of-distribution | - | 98.11 |
| learn-what-you-can-t-learn-regularized-1 | - | 94.3 |
| open-set-recognition-a-good-closed-set-1 | - | 83.2 |
| contrastive-training-for-improved-out-of | - | 78.3 |
| exploring-the-limits-of-out-of-distribution | 91.89 | 95.53 |
| exploring-the-limits-of-out-of-distribution | 90.22 | 95.31 |
| exploring-the-limits-of-out-of-distribution | - | 97.98 |
| exploring-the-limits-of-out-of-distribution | 92.08 | 96.23 |
| hybrid-models-for-open-set-recognition | - | 85.6 |
| deep-hybrid-models-for-out-of-distribution | 100 | 100 |
| exploring-the-limits-of-out-of-distribution | - | 94.68 |
| detecting-out-of-distribution-examples-with | - | 76.6 |
| detecting-out-of-distribution-examples-with | - | 70.1 |