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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1901–1950 of 2329 papers

TitleStatusHype
PF-cpGAN: Profile to Frontal Coupled GAN for Face Recognition in the Wild—0
Photorealistic Facial Expression Synthesis by the Conditional Difference Adversarial Autoencoder—0
Physical Adversarial Attacks For Camera-based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook—0
Physical Attribute Prediction Using Deep Residual Neural Networks—0
Physically-Based Face Rendering for NIR-VIS Face Recognition—0
PiBase: An IoT-based Security System using Raspberry Pi and Google Firebase—0
Pilgrims Face Recognition Dataset -- HUFRD—0
Pooling Faces: Template based Face Recognition with Pooled Face Images—0
Population-Guided Large Margin Classifier for High-Dimension Low -Sample-Size Problems—0
PortraitBooth: A Versatile Portrait Model for Fast Identity-preserved Personalization—0
Cross-Spectral Face Hallucination via Disentangling Independent Factors—0
Pose Attention-Guided Profile-to-Frontal Face Recognition—0
Pose-Aware Face Recognition in the Wild—0
PoseFace: Pose-Invariant Features and Pose-Adaptive Loss for Face Recognition—0
Pose-Guided Photorealistic Face Rotation—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
Powerful Physical Adversarial Examples Against Practical Face Recognition Systems—0
Rethinking Impersonation and Dodging Attacks on Face Recognition Systems—0
PProCRC: Probabilistic Collaboration of Image Patches—0
Unsupervised Estimation of Ensemble Accuracy—0
Predicting Classification Accuracy When Adding New Unobserved Classes—0
Predicting Face Recognition Performance Using Image Quality—0
Predicting Performance of a Face Recognition System Based on Image Quality—0
Privacy Aware Person Detection in Surveillance Data—0
Privacy-Enhancing Face Obfuscation Guided by Semantic-Aware Attribution Maps—0
Privacy-preserving Adversarial Facial Features—0
Privacy-Preserving Face Recognition in Hybrid Frequency-Color Domain—0
Privacy-Preserving Face Recognition Using Random Frequency Components—0
Privacy-Preserving Face Recognition Using Trainable Feature Subtraction—0
Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain—0
Privacy Preserving Group Membership Verification and Identification—0
Privacy Preserving Optics for Miniature Vision Sensors—0
PrivacyProber: Assessment and Detection of Soft-Biometric Privacy-Enhancing Techniques—0
Privacy-Protective-GAN for Face De-identification—0
Probabilistic Elastic Matching for Pose Variant Face Verification—0
Probabilistic Knowledge Distillation of Face Ensembles—0
Probabilistic Neural Network with Complex Exponential Activation Functions in Image Recognition using Deep Learning Framework—0
Profile to Frontal Face Recognition in the Wild Using Coupled Conditional GAN—0
ProjAttacker: A Configurable Physical Adversarial Attack for Face Recognition via Projector—0
Projection Metric Learning on Grassmann Manifold With Application to Video Based Face Recognition—0
Prototype Memory for Large-scale Face Representation Learning—0
Pro-UIGAN: Progressive Face Hallucination from Occluded Thumbnails—0
ProxylessKD: Direct Knowledge Distillation with Inherited Classifier for Face Recognition—0
Pseudo Facial Generation With Extreme Poses for Face Recognition—0
PSNet: Parametric Sigmoid Norm Based CNN for Face Recognition—0
Psychophysical Evaluation of Human Performance in Detecting Digital Face Image Manipulations—0
Pura: An Efficient Privacy-Preserving Solution for Face Recognition—0
Pushing the Frontiers of Unconstrained Face Detection and Recognition: IARPA Janus Benchmark A—0
QGFace: Quality-Guided Joint Training For Mixed-Quality Face Recognition—0
QRMODA and BRMODA: Novel Models for Face Recognition Accuracy in Computer Vision Systems with Adapted Video Streams—0
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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