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 51–100 of 2329 papers

TitleStatusHype
Dual Variational Generation for Low-Shot Heterogeneous Face RecognitionCode1
DVG-Face: Dual Variational Generation for Heterogeneous Face RecognitionCode1
EdgeFace: Efficient Face Recognition Model for Edge DevicesCode1
eDifFIQA: Towards Efficient Face Image Quality Assessment Based On Denoising Diffusion Probabilistic ModelsCode1
Adversarial Mask: Real-World Universal Adversarial Attack on Face Recognition ModelCode1
Discrete Point-wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face RecognitionCode1
Enhancing Facial Privacy Protection via Weakening Diffusion PurificationCode1
Enhancing Low-resolution Face Recognition with Feature Similarity Knowledge DistillationCode1
EPL: Empirical Prototype Learning for Deep Face RecognitionCode1
EQFace: A Simple Explicit Quality Network for Face RecognitionCode1
Expanding Accurate Person Recognition to New Altitudes and Ranges: The BRIAR DatasetCode1
Explainable Face RecognitionCode1
ElasticFace: Elastic Margin Loss for Deep Face RecognitionCode1
Deep Transferring QuantizationCode1
Deep Learning for Face Anti-Spoofing: A SurveyCode1
Deep Unlearning via Randomized Conditionally Independent HessiansCode1
Data Uncertainty Learning in Face RecognitionCode1
CVAE-GAN: Fine-Grained Image Generation through Asymmetric TrainingCode1
DCFace: Synthetic Face Generation with Dual Condition Diffusion ModelCode1
RobFR: Benchmarking Adversarial Robustness on Face RecognitionCode1
Convergence of Edge Computing and Deep Learning: A Comprehensive SurveyCode1
Consistency Regularization for Deep Face Anti-SpoofingCode1
CosFace: Large Margin Cosine Loss for Deep Face RecognitionCode1
CLIP2Protect: Protecting Facial Privacy using Text-Guided Makeup via Adversarial Latent SearchCode1
Building 3D Morphable Models from a Single ScanCode1
ChildPredictor: A Child Face Prediction Framework with Disentangled LearningCode1
Cluster and Aggregate: Face Recognition with Large Probe SetCode1
CR-FIQA: Face Image Quality Assessment by Learning Sample Relative ClassifiabilityCode1
Biometric Quality: Review and Application to Face Recognition with FaceQnetCode1
Adaptive Threshold for Online Object Recognition and Re-identification TasksCode1
Circle Loss: A Unified Perspective of Pair Similarity OptimizationCode1
CLIB-FIQA: Face Image Quality Assessment with Confidence CalibrationCode1
Representation Learning with Statistical Independence to Mitigate BiasCode1
Bias in Automated Speaker RecognitionCode1
A Challenging Benchmark of Anime Style RecognitionCode1
Controllable and Guided Face Synthesis for Unconstrained 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
DAF:re: A Challenging, Crowd-Sourced, Large-Scale, Long-Tailed Dataset For Anime Character RecognitionCode1
DAS: Densely-Anchored Sampling for Deep Metric LearningCode1
Jointly De-biasing Face Recognition and Demographic Attribute EstimationCode1
BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and Positioning Predictor on Edge DevicesCode1
Deep Polynomial Neural NetworksCode1
Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofingCode1
Boosting Semi-Supervised Face Recognition with Noise RobustnessCode1
ABANet: Attention boundary-aware network for image segmentationCode1
Attention-based Partial Face RecognitionCode1
ArcFace: Additive Angular Margin Loss for Deep Face RecognitionCode1
Discrimination-aware Network Pruning for Deep Model CompressionCode1
Face Transformer for 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 - 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