Face Clustering on MS1M 4.05M unlabeled (test)
1.4FP RateHAC
Evaluation results
| Method | Links | ||
|---|---|---|---|
| HACTraining size=0.5M face images2025.12 | 1.4 | 67.69 | |
| AROTraining size=0.5M face images2025.12 | 6.86 | 10.5 | |
| DBSCANTraining size=0.5M face images2025.12 | 45.24 | 44.87 | |
| K-MeansTraining size=0.5M face images2025.12 | 67.9 | 70.57 | |
| CDPTraining size=0.5M face images2025.12 | 68.62 | 73.62 | |
| L-GCNTraining size=0.5M face images2025.12 | 73.7 | 79.33 | |
| LTCTraining size=0.5M face images2025.12 | 78.98 | 79.84 | |
| GCN(V+E)Training size=0.5M face images2025.12 | 80.45 | 80.09 | |
| ClusformerTraining size=0.5M face images2025.12 | 81.03 | 80.51 | |
| Pair-ClsTraining size=0.5M face images2025.12 | 83.51 | 83.49 | |
| FaceTTraining size=0.5M face images2025.12 | 84.1 | 84.67 | |
| STAR-FCTraining size=0.5M face images2025.12 | 84.7 | 82.63 | |
| Ada-NETSTraining size=0.5M face images2025.12 | 85.4 | 84.48 | |
| Wang et al.Training size=0.5M face images2025.12 | 87.04 | 87.81 | |
| FaceMapTraining size=0.5M face images2025.12 | 87.74 | 87.11 | |
| Chen et al.Training size=0.5M face images2025.12 | 87.93 | 86.92 | |
| LCEPCETraining size=0.5M face images2025.12 | 88.69 | 88.15 | |
| CLIP-ClusterTraining size=0.5M face images2025.12 | 88.93 | 86.78 | |
| FC-ESERTraining size=0.5M face images2025.12 | 90.44 | 89.5 | |
| Diff-ClusterTraining size=0.5M face images2025.12 | 90.89 | 89.78 |