Novelty Detection on CIFAR-10-FSGAN
95.1AUROCFITYMI
Evaluation Results
| Method | Links | |
|---|---|---|
| FITYMITraining=Pre-trained2022.05 | 95.1 | |
| CSITraining=From Scratch2022.05 | 83.1 | |
| TransformalyTraining=Pre-trained2022.05 | 82.2 | |
| MHRotTraining=From Scratch, Require Extra Outlier Exposure Datasets=true2022.05 | 72.8 | |
| DN2Training=Pre-trained2022.05 | 71.3 | |
| GTTraining=From Scratch, Require Extra Outlier Exposure Datasets=true2022.05 | 70.4 | |
| MSADTraining=Pre-trained2022.05 | 69.4 | |
| PANDATraining=Pre-trained2022.05 | 66.1 | |
| One-class-OpenGANTraining=Pre-trained2022.05 | 64.4 | |
| DeepSADTraining=From Scratch, Require Extra Outlier Exposure Datasets=true2022.05 | 61.8 | |
| ADIBTraining=Pre-trained2022.05 | 55.4 |