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ResearchFormerly WizWand

Face Clustering on MS1M 584K unlabeled (test)

95.46FPDiff-Cluster
10.325632.427854.5376.6322Dec 27, 2025
Updated 8mo ago

Evaluation results

MethodLinks
Diff-ClusterTraining size=0.5M face images2025.1295.4694.14
FC-ESERTraining size=0.5M face images2025.1295.2893.85
Wang et al.Training size=0.5M face images2025.1294.9493.67
LCEPCETraining size=0.5M face images2025.1294.6493.36
FaceMapTraining size=0.5M face images2025.1294.2792.55
CLIP-ClusterTraining size=0.5M face images2025.1294.22—
Chen et al.Training size=0.5M face images2025.1293.2292.18
Ada-NETSTraining size=0.5M face images2025.1292.7991.4
STAR-FCTraining size=0.5M face images2025.1291.9789.96
FaceTTraining size=0.5M face images2025.1291.1290.5
Pair-ClsTraining size=0.5M face images2025.1290.6789.54
ClusformerTraining size=0.5M face images2025.1288.287.17
GCN(V+E)Training size=0.5M face images2025.1287.9386.09
LTCTraining size=0.5M face images2025.1285.6685.52
K-MeansTraining size=0.5M face images2025.1279.2181.23
L-GCNTraining size=0.5M face images2025.1278.6884.37
CDPTraining size=0.5M face images2025.1275.0278.7
HACTraining size=0.5M face images2025.1270.6370.46
DBSCANTraining size=0.5M face images2025.1267.9367.17
AROTraining size=0.5M face images2025.1213.617