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 1401–1450 of 2329 papers

TitleStatusHype
WSD: Wild Selfie Dataset for Face Recognition in Selfie Images—0
X2-Softmax: Margin Adaptive Loss Function for Face Recognition—0
XNN: Paradigm Shift in Mitigating Identity Leakage within Cloud-Enabled Deep Learning—0
Four Principles of Explainable AI as Applied to Biometrics and Facial Forensic Algorithms—0
Enhancing Face Recognition with Latent Space Data Augmentation and Facial Posture Reconstruction—0
Frankenstein: Learning Deep Face Representations using Small Data—0
Fraternal Twins: Unifying Attacks on Machine Learning and Digital Watermarking—0
Frequency Domain Nuances Mining for Visible-Infrared Person Re-identification—0
Frequency Matters: Explaining Biases of Face Recognition in the Frequency Domain—0
From Age Estimation to Age-Invariant Face Recognition: Generalized Age Feature Extraction Using Order-Enhanced Contrastive Learning—0
From Face Recognition to Models of Identity: A Bayesian Approach to Learning about Unknown Identities from Unsupervised Data—0
From Modalities to Styles: Rethinking the Domain Gap in Heterogeneous Face Recognition—0
From Pixels to Words: Leveraging Explainability in Face Recognition through Interactive Natural Language Processing—0
Fully Associative Patch-based 1-to-N Matcher for Face Recognition—0
Fun Selfie Filters in Face Recognition: Impact Assessment and Removal—0
Fused Deep Neural Network based Transfer Learning in Occluded Face Classification and Person re-Identification—0
Fusing Face and Periocular biometrics using Canonical correlation analysis—0
Fusing Robust Face Region Descriptors via Multiple Metric Learning for Face Recognition in the Wild—0
Fusion of Daubechies Wavelet Coefficients for Human Face Recognition—0
Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition - A Comparative Study—0
Gallery-Aware Uncertainty Estimation For Open-Set Face Recognition—0
Gallery Sampling for Robust and Fast Face Identification—0
GANDiffFace: Controllable Generation of Synthetic Datasets for Face Recognition with Realistic Variations—0
GBCNs: Genetic Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs—0
GB-CosFace: Rethinking Softmax-based Face Recognition from the Perspective of Open Set Classification—0
Gender Effect on Face Recognition for a Large Longitudinal Database—0
Generalizability of CNN Architectures for Face Morph Presentation Attack—0
Generalized Face Liveness Detection via De-fake Face Generator—0
Generalized Multi-view Shared Subspace Learning using View Bootstrapping—0
Generalized Neural Collapse for a Large Number of Classes—0
Generalized Single-Image-Based Morphing Attack Detection Using Deep Representations from Vision Transformer—0
Generalized Two-Dimensional Quaternion Principal Component Analysis with Weighting for Color Image Recognition—0
Generalizing Adversarial Explanations with Grad-CAM—0
Boosting Unconstrained Face Recognition with Auxiliary Unlabeled Data—0
Generate to Adapt: Resolution Adaption Network for Surveillance Face Recognition—0
Generating 2D and 3D Master Faces for Dictionary Attacks with a Network-Assisted Latent Space Evolution—0
Generating Master Faces for Dictionary Attacks with a Network-Assisted Latent Space Evolution—0
Generating Master Faces for Use in Performing Wolf Attacks on Face Recognition Systems—0
Generating Photo-Realistic Training Data to Improve Face Recognition Accuracy—0
Generating Transferable Adversarial Patch by Simultaneously Optimizing its Position and Perturbations—0
Generation of artificial facial drug abuse images using Deep De-identified anonymous Dataset augmentation through Genetics Algorithm (3DG-GA)—0
Generation of Gradient-Preserving Images allowing HOG Feature Extraction—0
Generation of Non-Deterministic Synthetic Face Datasets Guided by Identity Priors—0
Generative Adversarial Network-based Synthesis of Visible Faces from Polarimetric Thermal Faces—0
Generative One-Shot Face Recognition—0
Generic Image Classification Approaches Excel on Face Recognition—0
Geometrically Adaptive Dictionary Attack on Face Recognition—0
Geometry Guided Adversarial Facial Expression Synthesis—0
Giant Panda Face Recognition Using Small Dataset—0
Glasses Detection Using Convolutional Neural Networks—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