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 501–550 of 2329 papers

TitleStatusHype
A visualization method for data domain changes in CNN networks and the optimization method for selecting thresholds in classification tasksCode0
Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table RepresentationsCode0
VoxAtnNet: A 3D Point Clouds Convolutional Neural Network for Generalizable Face Presentation Attack Detection—0
FastFace: Fast-converging Scheduler for Large-scale Face Recognition Training with One GPUCode0
Adversarial Identity Injection for Semantic Face Image Synthesis—0
AI-KD: Towards Alignment Invariant Face Image Quality Assessment Using Knowledge DistillationCode0
FaceCat: Enhancing Face Recognition Security with a Unified Diffusion Model—0
FaceFilterSense: A Filter-Resistant Face Recognition and Facial Attribute Analysis Framework—0
Trashbusters: Deep Learning Approach for Litter Detection and Tracking—0
Dealing with Subject Similarity in Differential Morphing Attack Detection—0
Greedy-DiM: Greedy Algorithms for Unreasonably Effective Face MorphsCode0
Unified Physical-Digital Attack Detection Challenge—0
The Impact of Print-Scanning in Heterogeneous Morph Evaluation Scenarios—0
SDFR: Synthetic Data for Face Recognition Competition—0
If It's Not Enough, Make It So: Reducing Authentic Data Demand in Face Recognition through Synthetic Faces—0
Deep Privacy Funnel Model: From a Discriminative to a Generative Approach with an Application to Face Recognition—0
Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches—0
A Parallel Attention Network for Cattle Face Recognition—0
Cell Variational Information Bottleneck Network—0
Privacy-Preserving Face Recognition Using Trainable Feature Subtraction—0
E2F-Net: Eyes-to-Face Inpainting via StyleGAN Latent SpaceCode0
Hierarchical Generative Network for Face Morphing Attacks—0
Generalized Relevance Learning Grassmann QuantizationCode0
Adaptive Hybrid Masking Strategy for Privacy-Preserving Face Recognition Against Model Inversion Attack—0
VIGFace: Virtual Identity Generation for Privacy-Free Face RecognitionCode0
Mitigating the Impact of Attribute Editing on Face Recognition—0
Rediscovering BCE Loss for Uniform Classification—0
Confidence-Aware RGB-D Face Recognition via Virtual Depth Synthesis—0
Federated Learning Method for Preserving Privacy in Face Recognition System—0
Explainable Face Verification via Feature-Guided Gradient Backpropagation—0
ChatGPT and biometrics: an assessment of face recognition, gender detection, and age estimation capabilities—0
Ef-QuantFace: Streamlined Face Recognition with Small Data and Low-Bit Precision—0
Improving the JPEG-resistance of Adversarial Attacks on Face Recognition by Interpolation Smoothing—0
Quadruplet Loss For Improving the Robustness to Face Morphing Attacks—0
Mask-up: Investigating Biases in Face Re-identification for Masked Faces—0
Only My Model On My Data: A Privacy Preserving Approach Protecting one Model and Deceiving Unauthorized Black-Box Models—0
Is my Data in your AI Model? Membership Inference Test with Application to Face Images—0
Trade-off Between Spatial and Angular Resolution in Facial Recognition—0
Efficient Expression Neutrality Estimation with Application to Face Recognition Utility Prediction—0
CLR-Face: Conditional Latent Refinement for Blind Face Restoration Using Score-Based Diffusion Models—0
Synthetic Data for the Mitigation of Demographic Biases in Face RecognitionCode0
Approximating Optimal Morphing Attacks using Template Inversion—0
Unified Physical-Digital Face Attack Detection—0
Optimal-Landmark-Guided Image Blending for Face Morphing Attacks—0
Deep Variational Privacy Funnel: General Modeling with Applications in Face RecognitionCode0
Double Trouble? Impact and Detection of Duplicates in Face Image DatasetsCode0
Privacy-Preserving Face Recognition in Hybrid Frequency-Color Domain—0
Inference Attacks Against Face Recognition Model without Classification Layers—0
TetraLoss: Improving the Robustness of Face Recognition against Morphing AttacksCode0
Generalized Face Liveness Detection via De-fake Face Generator—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