Face Clustering on MS1M 1.74M unlabeled (test)
8.78FP RateARO
Evaluation results
| Method | Links | ||
|---|---|---|---|
| AROTraining size=0.5M face images2025.12 | 8.78 | 12.42 | |
| HACTraining size=0.5M face images2025.12 | 54.4 | 69.53 | |
| DBSCANTraining size=0.5M face images2025.12 | 63.41 | 66.53 | |
| CDPTraining size=0.5M face images2025.12 | 70.75 | 75.82 | |
| K-MeansTraining size=0.5M face images2025.12 | 73.04 | 75.2 | |
| L-GCNTraining size=0.5M face images2025.12 | 75.83 | 81.61 | |
| LTCTraining size=0.5M face images2025.12 | 82.41 | 83.01 | |
| GCN(V+E)Training size=0.5M face images2025.12 | 84.04 | 82.84 | |
| ClusformerTraining size=0.5M face images2025.12 | 84.6 | 84.05 | |
| Pair-ClsTraining size=0.5M face images2025.12 | 86.91 | 86.25 | |
| STAR-FCTraining size=0.5M face images2025.12 | 88.28 | 86.26 | |
| FaceTTraining size=0.5M face images2025.12 | 89.07 | 86.84 | |
| Ada-NETSTraining size=0.5M face images2025.12 | 89.33 | 87.98 | |
| Chen et al.Training size=0.5M face images2025.12 | 90.51 | 89.43 | |
| FaceMapTraining size=0.5M face images2025.12 | 91.31 | 89.67 | |
| CLIP-ClusterTraining size=0.5M face images2025.12 | 91.44 | 89.44 | |
| Wang et al.Training size=0.5M face images2025.12 | 91.74 | 90.81 | |
| LCEPCETraining size=0.5M face images2025.12 | 91.9 | 90.78 | |
| FC-ESERTraining size=0.5M face images2025.12 | 92.94 | 91.54 | |
| Diff-ClusterTraining size=0.5M face images2025.12 | 93.14 | 91.87 |