Misclassification Detection on Tiny ImageNet (test)
86.1AUROCD_alpha
Evaluation results
| Method | Links | ||
|---|---|---|---|
| D_alphaProtocol=PBB, Classifier Accuracy=63%2021.06 | 86.1 | 43.3 | |
| D_betaProtocol=PBB, Classifier Accuracy=63%2021.06 | 85.3 | 45.1 | |
| D_alphaProtocol=TBB, Classifier Accuracy=63%2021.06 | 84.9 | 45.8 | |
| D_betaProtocol=TBB, Classifier Accuracy=63%2021.06 | 84.9 | 45.8 | |
| ODINProtocol=TBB, Classifier Accuracy=63%2021.06 | 84.9 | 45.8 | |
| ODINProtocol=PBB, Classifier Accuracy=63%2021.06 | 84.9 | 45.3 | |
| SRProtocol=TBB, Classifier Accuracy=63%2021.06 | 84.9 | 45.8 | |
| MHLNBProtocol=TBB, Classifier Accuracy=63%2021.06 | 78.4 | 82.3 | |
| ENERGYProtocol=PBB, Classifier Accuracy=63%2021.06 | 78.2 | 63.7 | |
| MHLNBProtocol=PBB, Classifier Accuracy=63%2021.06 | 59 | 86 |