| anomaly-detection-on-one-class-cifar-10 | SSOOD | #15 | AUROC: 90.1 |
| anomaly-detection-on-one-class-imagenet-30 | RotNet + Translation + Self-Attention + Resize | #6 | AUROC: 85.7 |
| anomaly-detection-on-one-class-imagenet-30 | RotNet + Translation + Self-Attention | #7 | AUROC: 84.8 |
| anomaly-detection-on-one-class-imagenet-30 | RotNet + Self-Attention | #8 | AUROC: 81.6 |
| anomaly-detection-on-one-class-imagenet-30 | RotNet + Translation | #9 | AUROC: 77.9 |
| anomaly-detection-on-one-class-imagenet-30 | RotNet | #10 | AUROC: 65.3 |
| anomaly-detection-on-one-class-imagenet-30 | Supervised (OE) | #11 | AUROC: 56.1 |
| anomaly-detection-on-unlabeled-imagenet-30-vs-cub-200 | ROT+Trans | #2 | ROC-AUC: 74.5Network: ResNet-18 |
| anomaly-detection-on-unlabeled-imagenet-30-vs-flowers-102 | ROT+Trans | #3 | ROC-AUC: 86.3Network: ResNet-18 |
| out-of-distribution-detection-on-cifar-10 | WRN 40-2 + Rotation Prediction | #9 | AUROC: 96.2FPR95: 16.0 |
| out-of-distribution-detection-on-cifar-10-vs-cifar-100 | WRN 40-2 + Rotation Prediction | #10 | AUROC: 90.9AUPR: 67.7 |