Outlier Detection on Caltech-256 9 (inliers from 3 random classes)
97.7AUCOGNet
Evaluation results
| Method | Links | ||
|---|---|---|---|
| OGNetNumber of inlier classes=32020.04 | 97.7 | 91.5 | |
| ALOCCNumber of inlier classes=32020.04 | 93.8 | 91.3 | |
| R-graphNumber of inlier classes=32020.04 | 92.9 | 88 | |
| DPCPNumber of inlier classes=32020.04 | 79.8 | 77.7 | |
| REAPERNumber of inlier classes=32020.04 | 79.6 | 78.4 | |
| OutlierPersuitNumber of inlier classes=32020.04 | 78.8 | 77.9 | |
| CoPNumber of inlier classes=32020.04 | 67.6 | 71.8 | |
| LRRNumber of inlier classes=32020.04 | 47.9 | 67.1 |