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Face Verification on YTF unrestricted with labeled outside data 35
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97.3
Accuracy
Deep FR
91.164
92.757
94.35
95.943
Apr 26, 2017
Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
Deep FR
Models=1, Data=2.6M
2017.04
97.3
FaceNet
Models=1, Data=200M*
2017.04
95.1
SphereFace
Models=1, Data=WebFace
2017.04
95
Center Face
Models=1, Data=0.7M*
2017.04
94.9
Softmax+Center Loss
Models=1, Data=WebFace
2017.04
94.4
L-Softmax Loss
Models=1, Data=WebFace
2017.04
94
Softmax+Contrastive
Models=1, Data=WebFace
2017.04
93.5
Triplet Loss
Models=1, Data=WebFace
2017.04
93.4
DeepID2+
Models=25, Data=300K*
2017.04
93.2
Softmax Loss
Models=1, Data=WebFace
2017.04
93.1
Yi et al.
Models=1, Data=WebFace
2017.04
92.2
DeepFace
Models=3, Data=4M*
2017.04
91.4
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