Anomaly Detection on CIFAR-10 average of 10 tasks (test)
91.7AUCSup. LinSep-LIS-AE
Evaluation Results
| Method | Links | |
|---|---|---|
| Sup. LinSep-LIS-AEmode=supervised2021.10 | 91.7 | |
| LinSep-LIS-AE2021.10 | 88.58 | |
| Sup. LIS-AEmode=supervised2021.10 | 83.84 | |
| LIS-AE2021.10 | 81.45 | |
| FastFlow2021.11 | 66.7 | |
| OCGAN2021.11 | 65.6 | |
| DSVDD2021.11 | 64.8 | |
| OC-DSVDD2021.10 | 64.11 | |
| LSA2021.11 | 64.1 | |
| AnoGAN2021.11 | 61.8 | |
| KDE2021.11 | 61 | |
| IF2021.10 | 60.97 | |
| Mem-AE2021.10 | 59.31 | |
| AnoGAN-FMloss=feature-matching distance2021.10 | 58.8 | |
| OC-SVM2021.11 | 58.6 | |
| AnoGAN2021.10 | 58.43 | |
| VAE2021.11 | 58.3 | |
| Linear-AE2021.10 | 57.53 | |
| KDE2021.10 | 57.52 | |
| VAE2021.10 | 57.34 | |
| Sig-RepNNactivation levels (N)=42021.10 | 57.19 | |
| AE2021.10 | 57.03 | |
| OC-SVMkernel=rbf2021.10 | 56.51 | |
| Pixel CNN2021.11 | 55.1 | |
| L2-AE2021.11 | 53.6 |