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Face Verification on AgeDB

98.7AccuracyPFC
62.175271.657681.1490.6224Jan 23, 2018Jun 15, 2019Nov 4, 2020Mar 27, 2022Aug 17, 2023Jan 6, 2025May 29, 2026

Evaluation results

MethodLinks
PFCTraining Dataset=WebFace42M, Backbone=ResNet-200, Sampling Ratio=0.32022.0398.7
PFCTraining Dataset=WebFace42M, Backbone=ViT-L, Sampling Ratio=0.32022.0398.67
VPL2022.0398.6
PFCTraining Dataset=WebFace42M, Backbone=ResNet-100, Sampling Ratio=0.32022.0398.6
VPL-ArcFaceTraining Dataset=MS1MV32026.0498.6
GIFTrain Set=MS1MV2, Backbone=ResNet-1002025.0598.58
GIFTrain Set=WebFace4M, Backbone=ResNet-1002025.0598.55
WebFace42M2022.0398.53
PFCTraining Dataset=WebFace12M, Backbone=ResNet-100, Sampling Ratio=0.32022.0398.53
PFCTraining Dataset=WebFace42M, Backbone=ViT-B, Sampling Ratio=0.32022.0398.53
BroadFace2022.0398.38
ArcFaceBackbone=R100, Training Dataset=IBUG500K2018.0198.38
BroadFaceTrain Set=MS1MV2, Backbone=ResNet-1002025.0598.38
BroadFaceTraining Dataset=MS1MV22026.0498.38
CurricularFace2018.0198.37
ElasticFace-Arc+Training Dataset=MS1MV22026.0498.35
CurricularFaceBackbone=ResNet1002020.0498.32
CurricularFace2022.0398.32
CurricularFaceTrain Set=MS1MV2, Backbone=ResNet-1002025.0598.32
CurricularFaceTraining Dataset=MS1MV22026.0498.32
Sub-center2022.0398.31
ArcFace2022.0398.28
GroupFace2022.0398.28
ArcFaceTrain Set=MS1MV2, Backbone=ResNet-1002025.0598.28
GroupFaceTrain Set=MS1MV2, Backbone=ResNet-1002025.0598.28
ArcFace(m=0.50)Training Dataset=MS1MV22026.0498.28
ElasticFace-Cos+Training Dataset=MS1MV22026.0498.28
PFCTraining Dataset=WebFace42M, Backbone=ResNet-100, Sampling Ratio=0.0082022.0398.27
FunFaceTraining Dataset=MS1MV32026.0498.27
DCQ2022.0398.23
ArcFaceBackbone=R100, Training Dataset=MS1MV32018.0198.23
PartialFC(ArcFace)Training Dataset=MS1MV22026.0498.2
GIFTrain Set=WebFace4M, Backbone=ViT-base2025.0598.19
MagFaceTrain Set=MS1MV2, Backbone=ResNet-1002025.0598.17
MagFaceTraining Dataset=MS1MV22026.0498.17
AdaFaceTraining Dataset=MS1MV32026.0498.17
ArcFace2020.0498.15
WebFace12M2022.0398.15
FunFaceTraining Dataset=MS1MV22026.0498.13
CosFace2022.0398.11
CosFaceTrain Set=MS1MV2, Backbone=ResNet-1002025.0598.11
CosFace(m=0.35)Training Dataset=MS1MV22026.0498.11
AdaFace(m=0.4)Training Dataset=MS1MV22026.0498.05
PartialFC(CosFace)Training Dataset=MS1MV22026.0498.03
PFCTraining Dataset=WebFace4M, Backbone=ResNet-100, Sampling Ratio=0.32022.0398.01
MV-Arc-Softmax*Backbone=ResNet1002020.0497.95
MV-Softmax2022.0397.95
MV-Softmax2018.0197.95
MV-SoftMaxTraining Dataset=MS1MV22026.0497.95
ArcFaceTraining Dataset=WebFace4M2026.0497.95
PFCTraining Dataset=WebFace12M, Backbone=ResNet-100, Sampling Ratio=0.0132022.0397.93
ArcFaceTrain Set=WebFace4M, Backbone=ResNet-1002025.0597.93
FaceGraph2018.0197.92
VirFace2022.0397.91
DB2022.0397.9
AdaFaceTraining Dataset=WebFace4M2026.0497.9
FunFaceTraining Dataset=WebFace4M2026.0497.9
Search-Softmax2018.0197.75
PFCTraining Dataset=WebFace4M, Backbone=ResNet-100, Sampling Ratio=0.042022.0397.52
AdaFaceTrain Set=WebFace4M, Backbone=ViT-base2025.0597.48
MC-mini-AMC2022.0397.25
SST2022.0397.2
BioMetricNet2022.0396.12
AFRN2022.0395.35
CASIAVenue=(Real), Generator=/, Scale (#IDs × #Imgs)=0.49M (10.5K × 47)2026.0594.5
MorphFaceVenue=CVPR 25, Generator=DM, Scale (#IDs × #Imgs)=1.2M (24K × 50)2026.0593.27
SteerFaceVenue=(Ours), Generator=DM, Scale (#IDs × #Imgs)=1.2M (24K × 50)2026.0593.12
SteerFaceVenue=(Ours), Generator=DM, Scale (#IDs × #Imgs)=0.5M (10K × 50)2026.0592.73
UIFace*Venue=ICLR 25, Generator=DM, Scale (#IDs × #Imgs)=1.2M (10K × 50)2026.0592.51
Arc2FaceVenue=ECCV 24, Generator=DM, Scale (#IDs × #Imgs)=1.2M (20K × 50, 40K × 5)2026.0592.45
IDPerturb*Venue=CVPR 26, Generator=DM, Scale (#IDs × #Imgs)=1.2M (24K × 50)2026.0592.16
MorphFaceVenue=CVPR 25, Generator=DM, Scale (#IDs × #Imgs)=0.5M (10K × 50)2026.0591.8
CemiFaceVenue=NeurIPS 24, Generator=DM, Scale (#IDs × #Imgs)=0.5M (10K × 50)2026.0591.33
ID³Training set=CASIA, Backbone=LResNet50-IR2024.0991
ID3Venue=NeurIPS 24, Generator=DM, Scale (#IDs × #Imgs)=0.5M (10K × 50)2026.0591
UIFaceVenue=ICLR 25, Generator=DM, Scale (#IDs × #Imgs)=0.5M (10K × 50)2026.0590.95
IDPerturb*Venue=CVPR 26, Generator=DM, Scale (#IDs × #Imgs)=0.5M (10K × 50)2026.0590.28
Arc2FaceVenue=ECCV 24, Generator=DM, Scale (#IDs × #Imgs)=0.5M (10K × 50)2026.0590.18
DCFaceVenue=CVPR 23, Generator=DM, Scale (#IDs × #Imgs)=1.2M (20K × 50, 40K × 5)2026.0590.07
DCFaceTraining set=FFHQ+CASIA, Backbone=LResNet50-IR2024.0989.7
DCFaceVenue=CVPR 23, Generator=DM, Scale (#IDs × #Imgs)=0.5M (10K × 50)2026.0589.7
DRGAN2020.0488
IDiff-FaceVenue=ICCV 23, Generator=DM, Scale (#IDs × #Imgs)=0.5M (10K × 50)2026.0586.43
ID³Training set=FFHQ, Backbone=LResNet50-IR2024.0983.78
DigiFaceVenue=WACV 23, Generator=Rendering, Scale (#IDs × #Imgs)=1.2M (10K × 72, 100K × 5)2026.0581.1
ExFaceGANVenue=IJCB 23, Generator=GAN, Scale (#IDs × #Imgs)=0.5M (10K × 50)2026.0578.92
IDiff-FaceTraining set=FFHQ, Backbone=LResNet50-IR2024.0978.4
DigiFaceVenue=WACV 23, Generator=Rendering, Scale (#IDs × #Imgs)=0.5M (10K × 50)2026.0576.97
Reinforcement-guided synthetic data generation frameworkData Generation=DM, Training Set=small-scale CASIA-WebFace [54] subset2026.0476.8
Authentic CASIA-Webface [54] subsetData Generation=Authentic, Training Set=small-scale CASIA-WebFace [54] subset2026.0474.72
NegFaceDiffData Generation=DM, Training Set=small-scale CASIA-WebFace [54] subset2026.0474.68
SFace2Venue=BIOM 24, Generator=GAN, Scale (#IDs × #Imgs)=0.6M (10K × 60)2026.0574.37
SFaceVenue=IJCB 22, Generator=GAN, Scale (#IDs × #Imgs)=0.6M (10K × 60)2026.0571.68
SFaceTraining set=FFHQ, Backbone=LResNet50-IR2024.0969.87
DCFaceData Generation=GAN, Training Set=small-scale CASIA-WebFace [54] subset2026.0469.75
IDnetData Generation=GAN, Training Set=small-scale CASIA-WebFace [54] subset2026.0468.73
SFace2Data Generation=GAN, Training Set=small-scale CASIA-WebFace [54] subset2026.0468.12
SFaceData Generation=GAN, Training Set=small-scale CASIA-WebFace [54] subset2026.0466.82
IDiff-FaceData Generation=DM, Training Set=small-scale CASIA-WebFace [54] subset2026.0466.6
ID-NetTraining set=FFHQ, Backbone=LResNet50-IR2024.0963.58