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 551–600 of 2329 papers

TitleStatusHype
DeepID3: Face Recognition with Very Deep Neural NetworksCode0
Exploring the Open World Using Incremental Extreme Value MachinesCode0
Attacks Meet Interpretability: Attribute-steered Detection of Adversarial SamplesCode0
DeepFakes: a New Threat to Face Recognition? Assessment and DetectionCode0
Explaining Bias in Deep Face Recognition via Image CharacteristicsCode0
Explainability of the Implications of Supervised and Unsupervised Face Image Quality Estimations Through Activation Map Variation Analyses in Face Recognition ModelsCode0
Deep Face Recognition: A SurveyCode0
Face Aging With Conditional Generative Adversarial NetworksCode0
Deep Face Forgery DetectionCode0
Deep Imbalanced Learning for Face Recognition and Attribute PredictionCode0
DeepFace: Closing the Gap to Human-Level Performance in Face VerificationCode0
Face Encryption via Frequency-Restricted Identity-Agnostic AttacksCode0
Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair SelectionCode0
A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer LearningCode0
Face Manifold: Manifold Learning for Synthetic Face GenerationCode0
Deep Cross Modal Learning for Caricature Verification and Identification(CaVINet)Code0
Enhancing Robustness of On-line Learning Models on Highly Noisy DataCode0
Evaluating the Effectiveness of Attack-Agnostic Features for Morphing Attack DetectionCode0
Deep Convolutional Neural Network for Age Estimation based on VGG-Face ModelCode0
Efficient Global Neural Architecture SearchCode0
Deep Composite Face Image Attacks: Generation, Vulnerability and DetectionCode0
Efficient Realistic Data Generation Framework leveraging Deep Learning-based Human DigitizationCode0
Dynamic Multi-Task Learning for Face Recognition with Facial ExpressionCode0
Dynamic Deep Multi-task Learning for Caricature-Visual Face RecognitionCode0
E2F-Net: Eyes-to-Face Inpainting via StyleGAN Latent SpaceCode0
A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature FusionCode0
Decoupling "when to update" from "how to update"Code0
Domain-Specific Face Synthesis for Video Face Recognition from a Single Sample Per PersonCode0
Decorrelated Adversarial Learning for Age-Invariant Face RecognitionCode0
Double Trouble? Impact and Detection of Duplicates in Face Image DatasetsCode0
FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition SystemsCode0
Does Generative Face Completion Help Face Recognition?Code0
Domain adaptation for person re-identification on new unlabeled data using AlignedReID++Code0
Facial Image Reconstruction and its Influence to Face RecognitionCode0
Deep Pixel-wise Binary Supervision for Face Presentation Attack DetectionCode0
Fairer Analysis and Demographically Balanced Face Generation for Fairer Face VerificationCode0
DocFace: Matching ID Document Photos to SelfiesCode0
AdaptiveFace: Adaptive Margin and Sampling for Face RecognitionCode0
Dockerface: an Easy to Install and Use Faster R-CNN Face Detector in a Docker ContainerCode0
Fairness Under Cover: Evaluating the Impact of Occlusions on Demographic Bias in Facial RecognitionCode0
Domain Adaptation in Multi-Channel Autoencoder based Features for Robust Face Anti-SpoofingCode0
Distributional Modeling for Location-Aware Adversarial PatchesCode0
Attributes Shape the Embedding Space of Face Recognition ModelsCode0
Data-specific Adaptive Threshold for Face Recognition and AuthenticationCode0
DiffProb: Data Pruning for Face RecognitionCode0
A Supervised Learning Methodology for Real-Time Disguised Face Recognition in the WildCode0
Leveraging Diffusion For Strong and High Quality Face Morphing AttacksCode0
Detection of Face Recognition Adversarial AttacksCode0
Developing and Refining a Multifunctional Facial Recognition System for Older Adults with Cognitive Impairments: A Journey Towards Enhanced Quality of LifeCode0
Deep Anomaly Detection for Generalized Face Anti-SpoofingCode0
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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