SOTAVerified

Face Recognition

Facial Recognition is the task of making a positive identification of a face in a photo or video image against a pre-existing database of faces. It begins with detection - distinguishing human faces from other objects in the image - and then works on identification of those detected faces.

The state of the art tables for this task are contained mainly in the consistent parts of the task : the face verification and face identification tasks.

( Image credit: Face Verification )

Papers

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Showing 101–150 of 2329 papers

TitleStatusHype
Consistency Regularization for Deep Face Anti-SpoofingCode1
Dual Variational Generation for Low-Shot Heterogeneous Face RecognitionCode1
Controllable and Guided Face Synthesis for Unconstrained Face RecognitionCode1
FedFR: Joint Optimization Federated Framework for Generic and Personalized Face RecognitionCode1
Convergence of Edge Computing and Deep Learning: A Comprehensive SurveyCode1
Flexible-Modal Face Anti-Spoofing: A BenchmarkCode1
A Unified Framework for Masked and Mask-Free Face Recognition via Feature RectificationCode1
Adversarial Mask: Real-World Universal Adversarial Attack on Face Recognition ModelCode1
CR-FIQA: Face Image Quality Assessment by Learning Sample Relative ClassifiabilityCode1
FoundPAD: Foundation Models Reloaded for Face Presentation Attack DetectionCode1
GroupFace: Learning Latent Groups and Constructing Group-based Representations for Face RecognitionCode1
Cross-Quality LFW: A Database for Analyzing Cross-Resolution Image Face Recognition in Unconstrained EnvironmentsCode1
CurricularFace: Adaptive Curriculum Learning Loss for Deep Face RecognitionCode1
AdvFaces: Adversarial Face SynthesisCode1
CVAE-GAN: Fine-Grained Image Generation through Asymmetric TrainingCode1
DAS: Densely-Anchored Sampling for Deep Metric LearningCode1
Adv-Makeup: A New Imperceptible and Transferable Attack on Face RecognitionCode1
DAF:re: A Challenging, Crowd-Sourced, Large-Scale, Long-Tailed Dataset For Anime Character RecognitionCode1
Data Uncertainty Learning in Face RecognitionCode1
DCFace: Synthetic Face Generation with Dual Condition Diffusion ModelCode1
IDiff-Face: Synthetic-based Face Recognition through Fizzy Identity-Conditioned Diffusion ModelsCode1
IDiff-Face: Synthetic-based Face Recognition through Fizzy Identity-Conditioned Diffusion ModelCode1
DVG-Face: Dual Variational Generation for Heterogeneous Face RecognitionCode1
Improving the Fairness of Deep Generative Models without RetrainingCode1
EFaR 2023: Efficient Face Recognition CompetitionCode1
Invariant Feature Regularization for Fair Face RecognitionCode1
Enhancing Low-resolution Face Recognition with Feature Similarity Knowledge DistillationCode1
Discrete Point-wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face RecognitionCode1
ArcFace: Additive Angular Margin Loss for Deep Face RecognitionCode1
Discrimination-aware Network Pruning for Deep Model CompressionCode1
DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic ModelsCode1
AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face RepresentationsCode1
DIFFender: Diffusion-Based Adversarial Defense against Patch AttacksCode1
Diffusion Prior Interpolation for Flexibility Real-World Face Super-ResolutionCode1
Improving Face Recognition from Hard Samples via Distribution Distillation LossCode1
Analyzing the Synthetic-to-Real Domain Gap in 3D Hand Pose EstimationCode1
AdaDistill: Adaptive Knowledge Distillation for Deep Face RecognitionCode1
DiffFAS: Face Anti-Spoofing via Generative Diffusion ModelsCode1
Deep Unlearning via Randomized Conditionally Independent HessiansCode1
RobFR: Benchmarking Adversarial Robustness on Face RecognitionCode1
A 3D model-based approach for fitting masks to faces in the wildCode1
Analysis and evaluation of Deep Learning based Super-Resolution algorithms to improve performance in Low-Resolution Face RecognitionCode1
Face Transformer for RecognitionCode1
A realistic approach to generate masked faces applied on two novel masked face recognition data setsCode1
Dual-Cross Central Difference Network for Face Anti-SpoofingCode1
A2-LINK: Recognizing Disguised Faces via Active Learning and Adversarial Noise based Inter-Domain KnowledgeCode1
An Efficient Training Approach for Very Large Scale Face RecognitionCode1
ABANet: Attention boundary-aware network for image segmentationCode1
Dynamic Class Queue for Large Scale Face Recognition In the WildCode1
Deep Polynomial Neural NetworksCode1
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All datasetsLFWCFP-FPCASIA-WebFace+masksCelebA+masksMLFWAgeDB-30Color FERETIJB-BCALFWmebeblurfMFW+ (M-M)MFW+ (U-M)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PIC - ArcFaceFNMR [%] @ 10-3 FMR4.38—Unverified
2GhostFaceNetV2-1 (MS1MV3)Accuracy1—Unverified
3SymFace + AdaFace + ResNet100 +WebFace (MS1MV2)Accuracy1—Unverified
4ProdpolyAccuracy1—Unverified
5DiscFaceAccuracy1—Unverified
6ArcFace + MS1MV2 + R100Accuracy1—Unverified
7DCQAccuracy1—Unverified
8AdaFace + WebFace4M + R100Accuracy1—Unverified
9EdgeFace - S (g=0.5)Accuracy1—Unverified
10EdgeFace - XS (g=0.6)Accuracy1—Unverified
#ModelMetricClaimedVerifiedStatus
1GhostFaceNetV2-1Accuracy0.99—Unverified
2SymFace + AdaFace + ResNet100 +WebFaceAccuracy0.99—Unverified
3ElasticFace-ArcAccuracy0.99—Unverified
4DiscFaceAccuracy0.99—Unverified
5CircleLoss(ours)Accuracy0.96—Unverified
6EdgeFace - S (g=0.5)Accuracy0.96—Unverified
7DCQAccuracy0.93—Unverified
#ModelMetricClaimedVerifiedStatus
1Fine-tuned ArcFaceAccuracy91.47—Unverified
2Fine-tuned FaceNetAccuracy88.06—Unverified
3ArcFaceAccuracy87.95—Unverified
4Fine-tuned VGG-FaceAccuracy86.85—Unverified
5FaceNetAccuracy84.21—Unverified
6VGG-FaceAccuracy79.65—Unverified
#ModelMetricClaimedVerifiedStatus
1Fine-tuned ArcFaceAccuracy95.43—Unverified
2Fine-tuned FaceNetAccuracy93.58—Unverified
3ArcFaceAccuracy91.78—Unverified
4Fine-tuned VGG-FaceAccuracy91.51—Unverified
5FaceNetAccuracy90.96—Unverified
6VGG-FaceAccuracy84.56—Unverified
#ModelMetricClaimedVerifiedStatus
1MS1MV2, R100, SFaceAccuracy91.57—Unverified
2MS1MV2, R100, ArcfaceAccuracy90.57—Unverified
3MS1MV2, R100, CurricularfaceAccuracy90.43—Unverified
4VGGFace2, R50, ArcFaceAccuracy85.95—Unverified
5CASIA-WebFace, R50, CosFaceAccuracy82.52—Unverified
6Private-Asia, R50, ArcFaceAccuracy77.2—Unverified
#ModelMetricClaimedVerifiedStatus
1ProdpolyAccuracy0.98—Unverified
2ElasticFace-CosAccuracy0.98—Unverified
3Transformer loss+ArcFace ResNet100Accuracy0.98—Unverified
4DCQAccuracy0.98—Unverified
#ModelMetricClaimedVerifiedStatus
1VGG based5-class test accuracy99.2—Unverified
2PIC - ArcFaceFNMR [%] @ 10-3 FMR4.22—Unverified
3PIC - MagFaceFNMR [%] @ 10-3 FMR3.92—Unverified
4PIC - QMagFaceFNMR [%] @ 10-3 FMR3.24—Unverified
#ModelMetricClaimedVerifiedStatus
1ElasticFace-CosTAR @ FAR=0.00010.95—Unverified
2ArcFace+CSFMRank-10.95—Unverified
3ArcFace + MS1MV2 + R100Rank-10.95—Unverified
4AdaFace + MS1MV3 + R100TAR @ FAR=0.00010.94—Unverified
#ModelMetricClaimedVerifiedStatus
1ProdpolyAccuracy0.96—Unverified
2ElasticFace-ArcAccuracy0.96—Unverified
3GhostFaceNetV2-1Accuracy0.96—Unverified
#ModelMetricClaimedVerifiedStatus
1PIC - ArcFaceFNMR [%] @ 10-3 FMR10.1—Unverified
2PIC - QMagFaceFNMR [%] @ 10-3 FMR9.78—Unverified
3PIC - MagFaceFNMR [%] @ 10-3 FMR9.75—Unverified
#ModelMetricClaimedVerifiedStatus
1ArcFace + PPLTAR@FAR=0.000178.8—Unverified
2MaskInv-HGTAR@FAR=0.000178.36—Unverified
3FocusFaceTAR@FAR=0.000177.77—Unverified
#ModelMetricClaimedVerifiedStatus
1AdaFace+PPLTAR@FAR=0.000184.27—Unverified
2MaskInv-HGTAR@FAR=0.000183.82—Unverified
3FocusFaceTAR@FAR=0.000183.4—Unverified
#ModelMetricClaimedVerifiedStatus
1PIC - MagFaceFNMR [%] @ 10-3 FMR0.96—Unverified
2PIC - QMagFaceFNMR [%] @ 10-3 FMR0.96—Unverified
3PIC - ArcFaceFNMR [%] @ 10-3 FMR0.05—Unverified
#ModelMetricClaimedVerifiedStatus
1FaceNet+Adaptive ThresholdAverage Accuracy (10 times)84.3—Unverified
2FaceNet+Fixed Threshold (0.2487)Average Accuracy (10 times)80.6—Unverified
#ModelMetricClaimedVerifiedStatus
1Model with Up Convolution + DoG Filter (Aligned)Rank-185—Unverified
2DPMRank-171—Unverified
#ModelMetricClaimedVerifiedStatus
1FaceNet+Adaptive ThresholdAverage Accuracy (10 times)83.79—Unverified
2FaceNet+Fixed Threshold (0.3968)Average Accuracy (10 times)80.72—Unverified
#ModelMetricClaimedVerifiedStatus
1GhostFaceNetV2-1Accuracy0.95—Unverified
2ElasticFace-ArcAccuracy0.93—Unverified
#ModelMetricClaimedVerifiedStatus
1FaceNet+Adaptive ThresholdAverage Accuracy (10 times)76.46—Unverified
2FaceNet+Fixed Threshold (0.3779)Average Accuracy (10 times)53.97—Unverified
#ModelMetricClaimedVerifiedStatus
1Wang et al. [5]Rank-194.5—Unverified
2Multi-taskRank-184.32—Unverified
#ModelMetricClaimedVerifiedStatus
1Model with Up Convolution + DoG FilterRank-187.2—Unverified
2DPMRank-183.73—Unverified
#ModelMetricClaimedVerifiedStatus
1MCNTAR @ FAR=0.010.54—Unverified
#ModelMetricClaimedVerifiedStatus
1GhostFaceNetV2-1Accuracy99.91—Unverified
#ModelMetricClaimedVerifiedStatus
1Model with Up Convolution + DoG FilterRank-188.33—Unverified
#ModelMetricClaimedVerifiedStatus
1Partial FCMFR-ALL97.85—Unverified
#ModelMetricClaimedVerifiedStatus
1FaceTransformer+OctupletLossAccuracy0.95—Unverified