CFP
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Face Verification | CFP (Frontal-Frontal) | Accuracy99.886 | 54 | |
| Face Recognition | CFP | Accuracy99.38 | 35 | |
| Face Verification | CFP Frontal-Profile | EER5.02 | 24 | |
| Face Recognition Attribution | CFP FP | Deletion Score74.91 | 15 | |
| Face Recognition Attribution | CFP FF | Deletion Score86.46 | 15 | |
| Face Verification | CFP-FP | TAR98.5 | 13 | |
| Vessel Segmentation | CFP OOD (test) | Dice0.7609 | 12 | |
| Face Retrieval | CFP-FP | mAP91 | 11 | |
| Face Recognition | CFP-FP | TAR @ FAR=1e-496.51 | 8 | |
| Face recognition attribution | CFP-FP | Runtime (s)366.15 | 5 | |
| Face Image Quality Assessment | CFP-FP | pAUC4.805 | 4 | |
| Medical Image Generation | CFP | FID53.2 | 2 |
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