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Face Verification on LFW unrestricted with labeled outside data 9
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99.65
Accuracy
FaceNet
97.258
97.879
98.5
99.121
Apr 26, 2017
Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
FaceNet
Models=1, Data=200M*
2017.04
99.65
DeepID2+
Models=25, Data=300K*
2017.04
99.47
SphereFace
Models=1, Data=WebFace
2017.04
99.42
Center Face
Models=1, Data=0.7M*
2017.04
99.28
Baidu
Models=1, Data=1.3M*
2017.04
99.13
L-Softmax Loss
Models=1, Data=WebFace
2017.04
99.1
Softmax+Center Loss
Models=1, Data=WebFace
2017.04
99.05
Deep FR
Models=1, Data=2.6M
2017.04
98.95
Softmax+Contrastive
Models=1, Data=WebFace
2017.04
98.78
Liu et al.
Models=1, Data=WebFace
2017.04
98.71
DeepID2+
Models=1, Data=300K*
2017.04
98.7
Triplet Loss
Models=1, Data=WebFace
2017.04
98.7
Ding et al.
Models=1, Data=WebFace
2017.04
98.43
Softmax Loss
Models=1, Data=WebFace
2017.04
97.88
Yi et al.
Models=1, Data=WebFace
2017.04
97.73
DeepFace
Models=3, Data=4M*
2017.04
97.35
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