Novelty Detection on CIFAR-10-FSDE
96.4AUROCFITYMI
Evaluation Results
| Method | Links | |
|---|---|---|
| FITYMITraining=Pre-trained2022.05 | 96.4 | |
| CSITraining=From Scratch2022.05 | 87.4 | |
| TransformalyTraining=Pre-trained2022.05 | 75 | |
| MSADTraining=Pre-trained2022.05 | 64.9 | |
| MHRotTraining=From Scratch, Require Extra Outlier Exposure Datasets=true2022.05 | 64.5 | |
| DN2Training=Pre-trained2022.05 | 61.7 | |
| GTTraining=From Scratch, Require Extra Outlier Exposure Datasets=true2022.05 | 60.5 | |
| One-class-OpenGANTraining=Pre-trained2022.05 | 58.1 | |
| PANDATraining=Pre-trained2022.05 | 57.7 | |
| DeepSADTraining=From Scratch, Require Extra Outlier Exposure Datasets=true2022.05 | 53.5 | |
| ADIBTraining=Pre-trained2022.05 | 52 |