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Face Identity Clustering on MoFA 84 images, 78 identities (test)

0.87Top-1 RecallOurs (Proposed Regression Network)
-0.02440.20780.440.6722Jun 15, 2018

Evaluation results

MethodLinks
Ours (Proposed Regression Network)Distance Metric=VGG-Face (cosine similarity)2018.060.870.96
Tran et al.Distance Metric=VGG-Face (cosine similarity)2018.060.250.62
MOFADistance Metric=VGG-Face (cosine similarity)2018.060.190.54
randomDistance Metric=VGG-Face (cosine similarity)2018.060.010.06