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 51–100 of 2329 papers

TitleStatusHype
Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic DataCode1
LAFS: Landmark-based Facial Self-supervised Learning for Face RecognitionCode1
eDifFIQA: Towards Efficient Face Image Quality Assessment Based On Denoising Diffusion Probabilistic ModelsCode1
Suppress and Rebalance: Towards Generalized Multi-Modal Face Anti-SpoofingCode1
IdentiFace : A VGG Based Multimodal Facial Biometric SystemCode1
One-Class Face Anti-spoofing via Spoof Cue Map-Guided Feature LearningCode1
CLIB-FIQA: Face Image Quality Assessment with Confidence CalibrationCode1
Unmasking Deepfake Faces from Videos Using An Explainable Cost-Sensitive Deep Learning ApproachCode1
Invariant Feature Regularization for Fair Face RecognitionCode1
FLIP: Cross-domain Face Anti-spoofing with Language GuidanceCode1
Portrait Stylization: Artistic Style Transfer with Auxiliary Networks for Human Face StylizationCode1
Enhancing Mobile Face Anti-Spoofing: A Robust Framework for Diverse Attack Types under Screen FlashCode1
SwinFace: A Multi-task Transformer for Face Recognition, Expression Recognition, Age Estimation and Attribute EstimationCode1
TransFace: Calibrating Transformer Training for Face Recognition from a Data-Centric PerspectiveCode1
IDiff-Face: Synthetic-based Face Recognition through Fizzy Identity-Conditioned Diffusion ModelsCode1
EFaR 2023: Efficient Face Recognition CompetitionCode1
Identity-Preserving Aging of Face Images via Latent Diffusion ModelsCode1
ExFaceGAN: Exploring Identity Directions in GAN's Learned Latent Space for Synthetic Identity GenerationCode1
EdgeFace: Efficient Face Recognition Model for Edge DevicesCode1
CLIP2Protect: Protecting Facial Privacy using Text-Guided Makeup via Adversarial Latent SearchCode1
DIFFender: Diffusion-Based Adversarial Defense against Patch AttacksCode1
KeyPosS: Plug-and-Play Facial Landmark Detection through GPS-Inspired True-Range MultilaterationCode1
DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic ModelsCode1
Identity-driven Three-Player Generative Adversarial Network for Synthetic-based Face RecognitionCode1
Efficient Explainable Face Verification based on Similarity Score Argument BackpropagationCode1
DCFace: Synthetic Face Generation with Dual Condition Diffusion ModelCode1
Re-thinking Model Inversion Attacks Against Deep Neural NetworksCode1
Towards Effective Adversarial Textured 3D Meshes on Physical Face RecognitionCode1
Enhancing Low-resolution Face Recognition with Feature Similarity Knowledge DistillationCode1
SynthASpoof: Developing Face Presentation Attack Detection Based on Privacy-friendly Synthetic DataCode1
Logical Consistency and Greater Descriptive Power for Facial Hair Attribute LearningCode1
HE-MAN -- Homomorphically Encrypted MAchine learning with oNnx modelsCode1
MorDIFF: Recognition Vulnerability and Attack Detectability of Face Morphing Attacks Created by Diffusion AutoencodersCode1
Young Labeled Faces in the Wild (YLFW): A Dataset for Children Faces RecognitionCode1
Open-Set Face Identification on Few-Shot Gallery by Fine-TuningCode1
IDiff-Face: Synthetic-based Face Recognition through Fizzy Identity-Conditioned Diffusion ModelCode1
UniFace: Unified Cross-Entropy Loss for Deep Face RecognitionCode1
Simultaneously Optimizing Perturbations and Positions for Black-box Adversarial Patch AttacksCode1
Discrete Point-wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face RecognitionCode1
FaceQAN: Face Image Quality Assessment Through Adversarial Noise ExplorationCode1
MixFairFace: Towards Ultimate Fairness via MixFair Adapter in Face RecognitionCode1
Pose-disentangled Contrastive Learning for Self-supervised Facial RepresentationCode1
Explainable Model-Agnostic Similarity and Confidence in Face VerificationCode1
Unsupervised Face Recognition using Unlabeled Synthetic DataCode1
Improving Deep Facial Phenotyping for Ultra-rare Disorder Verification Using Model EnsemblesCode1
Expanding Accurate Person Recognition to New Altitudes and Ranges: The BRIAR DatasetCode1
Cluster and Aggregate: Face Recognition with Large Probe SetCode1
Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face RecognitionCode1
How to Boost Face Recognition with StyleGAN?Code1
Ensemble Learning using Transformers and Convolutional Networks for Masked Face RecognitionCode1
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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