Outlier Detection on Sick
36.3AP (%)GDOF
Evaluation results
| Method | Links | |
|---|---|---|
| GDOFlabeled outliers=52025.12 | 36.3 | |
| FEAWADlabeled outliers=52025.12 | 35.5 | |
| DevNetlabeled outliers=52025.12 | 31.5 | |
| PReNetlabeled outliers=52025.12 | 30.2 | |
| DeepSADlabeled outliers=52025.12 | 10.7 | |
| FRODlabeled data ratio=1%2025.12 | 10.21 | |
| FEAWADlabeled data ratio=1%2025.12 | 9.25 | |
| PReNetlabeled data ratio=1%2025.12 | 8.87 | |
| DevNetlabeled data ratio=1%2025.12 | 8.71 | |
| ECODlabeled outliers=52025.12 | 6.3 | |
| IForestlabeled data ratio=1%2025.12 | 5.98 | |
| WFRDAlabeled outliers=52025.12 | 5.9 | |
| DIFlabeled outliers=52025.12 | 5.7 | |
| LUNARlabeled outliers=52025.12 | 5.6 | |
| WFRDAlabeled data ratio=1%2025.12 | 5.19 | |
| DeepSVDDlabeled data ratio=1%2025.12 | 5.14 | |
| REPENlabeled outliers=52025.12 | 5.1 | |
| REPENlabeled data ratio=1%2025.12 | 5.02 | |
| DeepSADlabeled data ratio=1%2025.12 | 4.44 | |
| DeepSVDDlabeled outliers=52025.12 | 4.3 | |
| MFGADlabeled data ratio=1%2025.12 | 2.39 | |
| ECODlabeled data ratio=1%2025.12 | 1.98 |