Outlier Detection on Caltech-256 5 random classes 9 (inliers)
98.1AUCOGNet
Evaluation results
| Method | Links | ||
|---|---|---|---|
| OGNetNumber of inlier classes=52020.04 | 98.1 | 92.8 | |
| ALOCCNumber of inlier classes=52020.04 | 92.3 | 90.5 | |
| R-graphNumber of inlier classes=52020.04 | 91.3 | 85.8 | |
| DPCPNumber of inlier classes=52020.04 | 67.6 | 71.5 | |
| REAPERNumber of inlier classes=52020.04 | 65.7 | 71.6 | |
| OutlierPersuitNumber of inlier classes=52020.04 | 62.9 | 71.1 | |
| CoPNumber of inlier classes=52020.04 | 48.7 | 67.2 | |
| LRRNumber of inlier classes=52020.04 | 33.7 | 66.7 |