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 1–50 of 2329 papers

TitleStatusHype
KeyPoint Relative Position Encoding for Face RecognitionCode4
Arc2Face: A Foundation Model for ID-Consistent Human FacesCode4
OSDFace: One-Step Diffusion Model for Face RestorationCode3
Face Anonymization Made SimpleCode3
A new face swap method for image and video domains: a technical reportCode3
Detect Faces Efficiently: A Survey and EvaluationsCode3
Fawkes: Protecting Privacy against Unauthorized Deep Learning ModelsCode3
Practical Continual Forgetting for Pre-trained Vision ModelsCode2
Deep Learning-based Compression Detection for explainable Face Image Quality AssessmentCode2
ARoFace: Alignment Robustness to Improve Low-Quality Face RecognitionCode2
What is a Goldilocks Face Verification Test Set?Code2
DiffAM: Diffusion-based Adversarial Makeup Transfer for Facial Privacy ProtectionCode2
Joint Physical-Digital Facial Attack Detection Via Simulating Spoofing CluesCode2
Continual Forgetting for Pre-trained Vision ModelsCode2
Faceptor: A Generalist Model for Face PerceptionCode2
Combinatorial Client-Master Multiagent Deep Reinforcement Learning for Task Offloading in Mobile Edge ComputingCode2
Unrecognizable Yet Identifiable: Image Distortion with Preserved EmbeddingsCode2
BlendFace: Re-designing Identity Encoders for Face-SwappingCode2
GhostFaceNets: Lightweight Face Recognition Model From Cheap OperationsCode2
Universal Guidance for Diffusion ModelsCode2
DigiFace-1M: 1 Million Digital Face Images for Face RecognitionCode2
EMOCA: Emotion Driven Monocular Face Capture and AnimationCode2
Towards Metrical Reconstruction of Human FacesCode2
AdaFace: Quality Adaptive Margin for Face RecognitionCode2
Dual Spoof Disentanglement Generation for Face Anti-spoofing with Depth Uncertainty LearningCode2
Face.evoLVe: A High-Performance Face Recognition LibraryCode2
FaceX-Zoo: A PyTorch Toolbox for Face RecognitionCode2
Partial FC: Training 10 Million Identities on a Single MachineCode2
Towards Fast, Accurate and Stable 3D Dense Face AlignmentCode2
FastReID: A Pytorch Toolbox for General Instance Re-identificationCode2
Masked Face Recognition Dataset and ApplicationCode2
Building Computationally Efficient and Well-Generalizing Person Re-Identification Models with Metric LearningCode2
Advbox: a toolbox to generate adversarial examples that fool neural networksCode2
StoryReasoning Dataset: Using Chain-of-Thought for Scene Understanding and Grounded Story GenerationCode1
FLUXSynID: A Framework for Identity-Controlled Synthetic Face Generation with Document and Live ImagesCode1
ID-Booth: Identity-consistent Face Generation with Diffusion ModelsCode1
Analyzing the Synthetic-to-Real Domain Gap in 3D Hand Pose EstimationCode1
Enhancing Facial Privacy Protection via Weakening Diffusion PurificationCode1
FoundPAD: Foundation Models Reloaded for Face Presentation Attack DetectionCode1
Diffusion Prior Interpolation for Flexibility Real-World Face Super-ResolutionCode1
FRoundation: Are Foundation Models Ready for Face Recognition?Code1
Real-world Adversarial Defense against Patch Attacks based on Diffusion ModelCode1
DiffFAS: Face Anti-Spoofing via Generative Diffusion ModelsCode1
Makeup-Guided Facial Privacy Protection via Untrained Neural Network PriorsCode1
Open-Set Biometrics: Beyond Good Closed-Set ModelsCode1
Personalized Privacy Protection Mask Against Unauthorized Facial RecognitionCode1
AdaDistill: Adaptive Knowledge Distillation for Deep Face RecognitionCode1
EPL: Empirical Prototype Learning for Deep Face RecognitionCode1
ABANet: Attention boundary-aware network for image segmentationCode1
GraFIQs: Face Image Quality Assessment Using Gradient MagnitudesCode1
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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 - QMagFaceFNMR [%] @ 10-3 FMR0.96—Unverified
2PIC - MagFaceFNMR [%] @ 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