Anomaly Detection on VisA 15% training contamination (test)
0.743Capsules AUROCADL
Evaluation Results
| Method | Links | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ADLContamination=15%2026.01 | 0.743 | 0.904 | 0.899 | 0.921 | 0.739 | 0.596 | 0.927 | 0.911 | 0.816 | 0.804 | 0.81 | 0.863 | 0.828 | |
| Multi-Cue Anomaly Detection frameworkContamination=15%2026.01 | 0.733 | 0.971 | 0.967 | 0.964 | 0.948 | 0.726 | 0.952 | 0.967 | 0.882 | 0.886 | 0.77 | 0.937 | 0.892 | |
| DestSegContamination=15%2026.01 | 0.631 | 0.909 | 0.839 | 0.834 | 0.737 | 0.631 | 0.831 | 0.911 | 0.841 | 0.765 | 0.895 | 0.961 | 0.815 | |
| LOEContamination=15%2026.01 | 0.575 | 0.845 | 0.929 | 0.959 | 0.658 | 0.505 | 0.748 | 0.809 | 0.795 | 0.787 | 0.759 | 0.931 | 0.775 | |
| PatchCoreContamination=15%2026.01 | 0.488 | 0.741 | 0.755 | 0.585 | 0.682 | 0.537 | 0.714 | 0.631 | 0.729 | 0.709 | 0.651 | 0.88 | 0.675 | |
| DRÆMContamination=15%2026.01 | 0.441 | 0.733 | 0.311 | 0.753 | 0.847 | 0.709 | 0.665 | 0.945 | 0.144 | 0.195 | 0.604 | 0.757 | 0.592 | |
| PaDiMContamination=15%2026.01 | 0.13 | 0.786 | 0.791 | 0.824 | 0.632 | 0.115 | 0.651 | 0.798 | 0.728 | 0.653 | 0.633 | 0.846 | 0.632 |