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ResearchFormerly WizWand

Face Verification on MegaFace Challenge 1

99.1TAR (@10^-6 FAR)PPRN
65.830474.467783.10591.7423Jan 29, 2018Jul 12, 2018Dec 23, 2018Jun 6, 2019Nov 17, 2019Apr 29, 2020Oct 11, 2020
Updated 8mo ago

Evaluation results

MethodLinks
PPRNTraining Dataset=Glint360K, Loss Function=CosFace, Sampling Rate (r)=0.12020.1099.1
PPRNTraining Dataset=Glint360K, Loss Function=CosFace, Sampling Rate (r)=1.02020.1098.98
GroupFaceLoss Function=GroupFace2020.1098.79
CircleLossLoss Function=CircleLoss2020.1098.73
CurricularFaceLoss Function=CurricularFace2020.1098.64
PPRNTraining Dataset=MS1MV2, Loss Function=ArcFace, Sampling Rate (r)=1.02020.1098.59
PPRNTraining Dataset=MS1MV2, Loss Function=CosFace, Sampling Rate (r)=1.02020.1098.58
PPRNTraining Dataset=MS1MV2, Loss Function=CosFace, Sampling Rate (r)=0.12020.1098.49
ArcFaceLoss Function=ArcFace (0.5)2020.1098.48
PPRNTraining Dataset=MS1MV2, Loss Function=ArcFace, Sampling Rate (r)=0.12020.1098.03
CosFace(3-patch ensemble)Protocol=Large2018.0197.96
CosFaceLoss Function=CosFace (0.35)2020.1097.91
CosFace(Single-patch)Protocol=Large2018.0196.65
DeepSense V2Protocol=Large2018.0195.99
Vocord - deepVo V3Protocol=Large2018.0194.96
CosFace(3-patch ensemble)Protocol=Small2018.0192.22
YouTu LabProtocol=Large2018.0191.34
SphereFace - SmallProtocol=Small2018.0190.04
CosFace(Single-patch)Protocol=Small2018.0189.88
SIATMMLAB Tencent VisionProtocol=Large2018.0187.27
Google - FaceNet v8Protocol=Large2018.0186.47
NTechLAB - facenx_largeProtocol=Large2018.0185.08
DeepSense - SmallProtocol=Small2018.0182.85
FUDAN-CS_SDSProtocol=Small2018.0179.19
Beijing FaceAll V2Protocol=Small2018.0177.6
SIAT_MMLABProtocol=Small2018.0176.72
GRCCVProtocol=Small2018.0174.88
Beijing FaceAll_Norm_1600Protocol=Large2018.0167.11