| anomaly-detection-on-fashion-mnist | IGD (pre-trained SSL) | #3 | ROC AUC: 94.41 |
| anomaly-detection-on-fashion-mnist | IGD (pre-trained ImageNet) | #4 | ROC AUC: 93.57 |
| anomaly-detection-on-fashion-mnist | IGD (scratch) | #8 | ROC AUC: 92.01 |
| anomaly-detection-on-hyper-kvasir-dataset | IGD | #2 | AUC: 0.939 |
| anomaly-detection-on-lag | IGD | #2 | AUC: 0.796 |
| anomaly-detection-on-mnist | IGD (pre-trained ImageNet) | #1 | ROC AUC: 99.27 |
| anomaly-detection-on-mnist | IGD (scratch) | #2 | ROC AUC: 98.69 |
| anomaly-detection-on-mvtec-ad | IGD (pre-trained SSL) | #83 | Detection AUROC: 93.4Segmentation AUROC: 93.0 |
| anomaly-detection-on-mvtec-ad | IGD | #84 | Detection AUROC: 93.4 |
| anomaly-detection-on-mvtec-ad | IGD (pre-trained ImageNet) | #88 | Detection AUROC: 92.6Segmentation AUROC: 91 |
| anomaly-detection-on-one-class-cifar-10 | IGD (pre-trained SSL) | #14 | AUROC: 91.25 |
| anomaly-detection-on-one-class-cifar-10 | IGD (pre-trained ImageNet) | #21 | AUROC: 83.68 |
| anomaly-detection-on-one-class-cifar-10 | IGD (scratch) | #22 | AUROC: 74.33 |