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Face Verification on AgeDB (val)

98.28AccuracyArcFace
97.416897.640997.86598.0891Sep 18, 2024

Evaluation results

MethodLinks
ArcFaceModel=ResNet100, Train Data=MS1MV2, Loss=ArcFace, Embedding Size=5122024.0998.28
ArcFaceModel=ResNet100, Train Data=WebFace4M, Loss=ArcFace, Embedding Size=5122024.0998.28
CosFaceModel=ResNet100, Train Data=MS1MV2, Loss=CosFace, Embedding Size=5122024.0998.11
AdaFace+SymFaceModel=ResNet100, Train Data=MS1MV2, Loss=AdaFace+SymFace, Embedding Size=5122024.0998.08
AdaFaceModel=ResNet100, Train Data=MS1MV2, Loss=AdaFace, Embedding Size=5122024.0998.05
CosFace+SymFaceModel=ResNet100, Train Data=MS1MV2, Loss=CosFace+SymFace, Embedding Size=5122024.0998.04
ArcFace+SymFaceModel=ResNet100, Train Data=MS1MV2, Loss=ArcFace+SymFace, Embedding Size=5122024.0998.01
AdaFaceModel=ResNet100, Train Data=WebFace4M, Loss=AdaFace, Embedding Size=5122024.0997.9
AdaFace+SymFaceModel=ResNet50, Train Data=MS1MV2, Loss=AdaFace+SymFace, Embedding Size=5122024.0997.89
AdaFace+SymFaceModel=ResNet50, Train Data=WebFace4M, Loss=AdaFace+SymFace, Embedding Size=5122024.0997.86
AdaFaceModel=ResNet50, Train Data=MS1MV2, Loss=AdaFace, Embedding Size=5122024.0997.85
AdaFace+SymFaceModel=ResNet100, Train Data=WebFace4M, Loss=AdaFace+SymFace, Embedding Size=5122024.0997.83
CosFace+SymFaceModel=ResNet100, Train Data=WebFace4M, Loss=CosFace+SymFace, Embedding Size=5122024.0997.81
AdaFaceModel=ResNet50, Train Data=WebFace4M, Loss=AdaFace, Embedding Size=5122024.0997.78
ArcFace+SymFaceModel=ResNet100, Train Data=WebFace4M, Loss=ArcFace+SymFace, Embedding Size=5122024.0997.61
CosFaceModel=ResNet100, Train Data=WebFace4M, Loss=CosFace, Embedding Size=5122024.0997.45