Outlier Detection on Caltech-256 1 random inlier class 9
98.2AUCOGNet
Evaluation results
| Method | Links | ||
|---|---|---|---|
| OGNetNumber of inlier classes=12020.04 | 98.2 | 95.1 | |
| R-graphNumber of inlier classes=12020.04 | 94.8 | 91.4 | |
| ALOCCNumber of inlier classes=12020.04 | 94.2 | 92.8 | |
| LRRNumber of inlier classes=12020.04 | 90.7 | 89.3 | |
| CoPNumber of inlier classes=12020.04 | 90.5 | 88 | |
| OutlierPersuitNumber of inlier classes=12020.04 | 83.7 | 82.3 | |
| REAPERNumber of inlier classes=12020.04 | 81.6 | 80.8 | |
| DPCPNumber of inlier classes=12020.04 | 78.3 | 78.5 |