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Face Verification on LFW (unrestricted-labeled-outside-data protocol 14)

99.85Accuracy

AFRN

Updated 4d ago

Evaluation Results

Method	Links
AFRN 2022.04		99.85
BroadFace 2022.04		99.85
ArcFace 2022.04		99.83
MagFace 2022.04		99.83
VPL-ArcFace 2022.04		99.83
AdaFace 2022.04		99.83
ArcFace* 2022.04		99.83
SCF-ArcFace 2022.04		99.82
AdaFace 2022.04		99.82
CosFace 2022.04		99.81
MV-Softmax 2022.04		99.8
CurricularFace 2022.04		99.8
AdaFace 2022.04		99.8
L2-S (RX101) 2017.03		99.78
URL 2022.04		99.78
Baidu 2017.03		99.77
L2-S (R101) 2017.03		99.67
FaceNet 2017.03		99.63
FaceNet 2017.03		99.63
DeepVisage 2017.03		99.62
DeepVisage 2017.03		99.62
L2-S (FR) 2017.03		99.6
Sparse ConvNet 2017.03		99.55
DeepID3 2017.03		99.53
Megvii 2017.03		99.5
LF-CNNs 2017.03		99.5
DeepID2+ 2017.03		99.47
DeepID-2+ 2017.03		99.47
SphereFace 2017.03		99.42
Center Loss 2017.03		99.28
Wen et al. 2017.03		99.28
Baidu 2017.03		99.13
Baidu 2017.03		99.13
MM-DFR 2017.03		99.02
softmax(FR) 2017.03		99
VGG Face 2017.03		98.95
VGG Face 2017.03		98.95
MFM-CNN 2017.03		98.8
VIPLFaceNet 2017.03		98.6
Webscale 2017.03		98.37
AAL 2017.03		98.3
FSS 2017.03		98.2
Face-Aug-Pose-Syn 2017.03		98.06
CASIA-Webface 2017.03		97.73
Unconstrained FV 2017.03		97.45
Deepface 2017.03		97.35
Deep Face 2017.03		97.35