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 451–500 of 2329 papers

TitleStatusHype
Distributional Modeling for Location-Aware Adversarial PatchesCode0
Cross Architecture Distillation for Face Recognition—0
3D-Aware Adversarial Makeup Generation for Facial Privacy Protection—0
A Closer Look at Geometric Temporal Dynamics for Face Anti-Spoofing—0
CLIP2Protect: Protecting Facial Privacy using Text-Guided Makeup via Adversarial Latent SearchCode1
DIFFender: Diffusion-Based Adversarial Defense against Patch AttacksCode1
An Exploratory Study of Masked Face Recognition with Machine Learning Algorithms—0
Data-Driven Bilateral Generalized Two-Dimensional Quaternion Principal Component Analysis with Application to Color Face Recognition—0
A Quality Aware Sample-to-Sample Comparison for Face Recognition—0
Unveiling the Two-Faced Truth: Disentangling Morphed Identities for Face Morphing DetectionCode0
Privacy-Enhancing Face Obfuscation Guided by Semantic-Aware Attribution Maps—0
SASMU: boost the performance of generalized recognition model using synthetic face dataset—0
Discriminative Deep Feature Visualization for Explainable Face Recognition—0
GANDiffFace: Controllable Generation of Synthetic Datasets for Face Recognition with Realistic Variations—0
Towards minimizing efforts for Morphing Attacks -- Deep embeddings for morphing pair selection and improved Morphing Attack Detection—0
Human-Machine Comparison for Cross-Race Face Verification: Race Bias at the Upper Limits of Performance?—0
Mask Attack Detection Using Vascular-weighted Motion-robust rPPG Signals—0
KeyPosS: Plug-and-Play Facial Landmark Detection through GPS-Inspired True-Range MultilaterationCode1
Triplet Knowledge Distillation—0
FaceFusion: Exploiting Full Spectrum of Multiple Datasets—0
Optimization-Based Improvement of Face Image Quality Assessment TechniquesCode0
Adaptive Face Recognition Using Adversarial Information Network—0
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses—0
Face Recognition Using Synthetic Face Data—0
Towards Visual Saliency Explanations of Face Verification—0
Improving Defensive Distillation using Teacher Assistant—0
Zero-shot racially balanced dataset generation using an existing biased StyleGAN2Code0
Gallery Sampling for Robust and Fast Face Identification—0
Two-in-One: A Model Hijacking Attack Against Text Generation Models—0
DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic ModelsCode1
Improving 2D face recognition via fine-level facial depth generation and RGB-D complementary feature learning—0
Privacy-preserving Adversarial Facial Features—0
Robust Face Morphing Attack Detection Using Fusion of Multiple Features and Classification Techniques—0
Age-Invariant Face Embedding using the Wasserstein Distance—0
Localization using Multi-Focal Spatial Attention for Masked Face Recognition—0
Differential Newborn Face Morphing Attack Detection using Wavelet Scatter Network—0
semantic neural model approach for face recognition from sketch—0
Synthetic Data for Face Recognition: Current State and Future Prospects—0
Racial Bias within Face Recognition: A Survey—0
Identity-driven Three-Player Generative Adversarial Network for Synthetic-based Face RecognitionCode1
Deep Learning-based Spatio Temporal Facial Feature Visual Speech Recognition—0
Interpretability of Machine Learning: Recent Advances and Future Prospects—0
Measuring Bias in AI Models: An Statistical Approach Introducing N-Sigma—0
Are Explainability Tools Gender Biased? A Case Study on Face Presentation Attack Detection—0
Efficient Explainable Face Verification based on Similarity Score Argument BackpropagationCode1
Child Face Recognition at Scale: Synthetic Data Generation and Performance BenchmarkCode0
Analysis of Recent Trends in Face Recognition Systems—0
CoReFace: Sample-Guided Contrastive Regularization for Deep Face Recognition—0
BiTrackGAN: Cascaded CycleGANs to Constraint Face Aging—0
Learn to Cluster Faces with Better Subgraphs—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