Face Clustering on MS1M 584K unlabeled (test)
95.46FPDiff-Cluster
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Diff-ClusterTraining size=0.5M face images2025.12 | 95.46 | 94.14 | |
| FC-ESERTraining size=0.5M face images2025.12 | 95.28 | 93.85 | |
| Wang et al.Training size=0.5M face images2025.12 | 94.94 | 93.67 | |
| LCEPCETraining size=0.5M face images2025.12 | 94.64 | 93.36 | |
| FaceMapTraining size=0.5M face images2025.12 | 94.27 | 92.55 | |
| CLIP-ClusterTraining size=0.5M face images2025.12 | 94.22 | — | |
| Chen et al.Training size=0.5M face images2025.12 | 93.22 | 92.18 | |
| Ada-NETSTraining size=0.5M face images2025.12 | 92.79 | 91.4 | |
| STAR-FCTraining size=0.5M face images2025.12 | 91.97 | 89.96 | |
| FaceTTraining size=0.5M face images2025.12 | 91.12 | 90.5 | |
| Pair-ClsTraining size=0.5M face images2025.12 | 90.67 | 89.54 | |
| ClusformerTraining size=0.5M face images2025.12 | 88.2 | 87.17 | |
| GCN(V+E)Training size=0.5M face images2025.12 | 87.93 | 86.09 | |
| LTCTraining size=0.5M face images2025.12 | 85.66 | 85.52 | |
| K-MeansTraining size=0.5M face images2025.12 | 79.21 | 81.23 | |
| L-GCNTraining size=0.5M face images2025.12 | 78.68 | 84.37 | |
| CDPTraining size=0.5M face images2025.12 | 75.02 | 78.7 | |
| HACTraining size=0.5M face images2025.12 | 70.63 | 70.46 | |
| DBSCANTraining size=0.5M face images2025.12 | 67.93 | 67.17 | |
| AROTraining size=0.5M face images2025.12 | 13.6 | 17 |