Face Clustering on MS1M 2.89M unlabeled (test)
7.3FPARO
Evaluation results
| Method | Links | ||
|---|---|---|---|
| AROTraining size=0.5M face images2025.12 | 7.3 | 10.96 | |
| HACTraining size=0.5M face images2025.12 | 11.08 | 68.62 | |
| DBSCANTraining size=0.5M face images2025.12 | 52.5 | 66.26 | |
| CDPTraining size=0.5M face images2025.12 | 69.51 | 74.58 | |
| K-MeansTraining size=0.5M face images2025.12 | 69.83 | 72.34 | |
| L-GCNTraining size=0.5M face images2025.12 | 74.29 | 80.11 | |
| LTCTraining size=0.5M face images2025.12 | 80.32 | 81.1 | |
| GCN(V+E)Training size=0.5M face images2025.12 | 82.1 | 81.24 | |
| ClusformerTraining size=0.5M face images2025.12 | 82.79 | 82.3 | |
| Pair-ClsTraining size=0.5M face images2025.12 | 85.06 | 84.55 | |
| STAR-FCTraining size=0.5M face images2025.12 | 86.17 | 84.13 | |
| FaceTTraining size=0.5M face images2025.12 | 86.78 | 85.09 | |
| Ada-NETSTraining size=0.5M face images2025.12 | 87.5 | 86.03 | |
| Chen et al.Training size=0.5M face images2025.12 | 89.09 | 88 | |
| FaceMapTraining size=0.5M face images2025.12 | 89.32 | 88.2 | |
| Wang et al.Training size=0.5M face images2025.12 | 89.5 | 89.15 | |
| CLIP-ClusterTraining size=0.5M face images2025.12 | 89.95 | 87.75 | |
| LCEPCETraining size=0.5M face images2025.12 | 90.27 | 89.28 | |
| FC-ESERTraining size=0.5M face images2025.12 | 91.61 | 90.38 | |
| Diff-ClusterTraining size=0.5M face images2025.12 | 91.73 | 90.71 |