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 401–450 of 2329 papers

TitleStatusHype
Variational Self-Supervised Contrastive Learning Using Beta Divergence—0
Improving Visual Quality and Transferability of Adversarial Attacks on Face Recognition Simultaneously with Adversarial Restoration—0
Generalizability and Application of the Skin Reflectance Estimate Based on Dichromatic Separation (SREDS)Code0
Fearless Luminance Adaptation: A Macro-Micro-Hierarchical Transformer for Exposure Correction—0
Impact of Image Context for Single Deep Learning Face Morphing Attack Detection—0
Beard Segmentation and Recognition Bias—0
Enhancing Mobile Face Anti-Spoofing: A Robust Framework for Diverse Attack Types under Screen FlashCode1
SynthDistill: Face Recognition with Knowledge Distillation from Synthetic DataCode0
FaceCoresetNet: Differentiable Coresets for Face Set RecognitionCode0
Optimal Projections for Discriminative Dictionary Learning using the JL-lemmaCode0
Compressed Models Decompress Race Biases: What Quantized Models Forget for Fair Face Recognition—0
Open-set Face Recognition with Neural Ensemble, Maximal Entropy Loss and Feature AugmentationCode0
SDeMorph: Towards Better Facial De-morphing from Single Morph—0
SwinFace: A Multi-task Transformer for Face Recognition, Expression Recognition, Age Estimation and Attribute EstimationCode1
Privacy-Preserving Face Recognition Using Random Frequency Components—0
TransFace: Calibrating Transformer Training for Face Recognition from a Data-Centric PerspectiveCode1
NeutrEx: A 3D Quality Component Measure on Facial Expression Neutrality—0
CCFace: Classification Consistency for Low-Resolution Face Recognition—0
Deep Boosting Multi-Modal Ensemble Face Recognition with Sample-Level Weighting—0
Hyperbolic Face Anti-Spoofing—0
Boosting Cross-Quality Face Verification using Blind Face Restoration—0
SCSC: Spatial Cross-scale Convolution Module to Strengthen both CNNs and Transformers—0
Open-set Face Recognition using Ensembles trained on Clustered Data—0
AAFACE: Attribute-aware Attentional Network for Face Recognition—0
MixBCT: Towards Self-Adapting Backward-Compatible TrainingCode0
Improving Face Recognition from Caption Supervision with Multi-Granular Contextual Feature Aggregation—0
Face Encryption via Frequency-Restricted Identity-Agnostic AttacksCode0
Physical Adversarial Attacks For Camera-based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook—0
Generating Transferable and Stealthy Adversarial Patch via Attention-guided Adversarial Inpainting—0
Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation—0
Enhancing Mobile Privacy and Security: A Face Skin Patch-Based Anti-Spoofing Approach—0
IDiff-Face: Synthetic-based Face Recognition through Fizzy Identity-Conditioned Diffusion ModelsCode1
A Comparative Study of Image-to-Image Translation Using GANs for Synthetic Child Race Data—0
EFaR 2023: Efficient Face Recognition CompetitionCode1
Will your Doorbell Camera still recognize you as you grow old—0
AdvFAS: A robust face anti-spoofing framework against adversarial examplesCode0
Imperceptible Physical Attack against Face Recognition Systems via LED Illumination Modulation—0
Robust face anti-spoofing framework with Convolutional Vision Transformer—0
BlendFace: Re-designing Identity Encoders for Face-SwappingCode2
SqueezerFaceNet: Reducing a Small Face Recognition CNN Even More Via Filter Pruning—0
Towards Fair Face Verification: An In-depth Analysis of Demographic Biases—0
A Covariate-Adjusted Homogeneity Test with Application to Facial Recognition Accuracy Assessment—0
Identity-Preserving Aging of Face Images via Latent Diffusion ModelsCode1
CoNAN: Conditional Neural Aggregation Network For Unconstrained Face Feature Fusion—0
Bridging the Gap: Heterogeneous Face Recognition with Conditional Adaptive Instance ModulationCode0
ExFaceGAN: Exploring Identity Directions in GAN's Learned Latent Space for Synthetic Identity GenerationCode1
Face Image Quality Enhancement Study for Face Recognition—0
Facial Landmark Detection Evaluation on MOBIO Database—0
A Study on the Impact of Face Image Quality on Face Recognition in the Wild—0
EdgeFace: Efficient Face Recognition Model for Edge DevicesCode1
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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