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 1651–1700 of 2329 papers

TitleStatusHype
Level Playing Field for Million Scale Face Recognition—0
Leveraging Billions of Faces to Overcome Performance Barriers in Unconstrained Face Recognition—0
Leveraging Intermediate Features of Vision Transformer for Face Anti-Spoofing—0
Leveraging Mid-Level Deep Representations For Predicting Face Attributes in the Wild—0
Leveraging Simultaneous Usage of Edge GPU Hardware Engines for Video Face Detection and Recognition—0
Leveraging the Power of Gabor Phase for Face Identification: A Block Matching Approach—0
LGLG-WPCA: An Effective Texture-based Method for Face Recognition—0
Light Can Hack Your Face! Black-box Backdoor Attack on Face Recognition Systems—0
LightFace: A Hybrid Deep Face Recognition Framework—0
Lights, Camera, Matching: The Role of Image Illumination in Fair Face Recognition—0
Lightweight Face Recognition: An Improved MobileFaceNet Model—0
Link-based Contrastive Learning for One-Shot Unsupervised Domain Adaptation—0
Live Detection of Face Using Machine Learning with Multi-feature Method—0
Liveness Detection in Computer Vision: Transformer-based Self-Supervised Learning for Face Anti-Spoofing—0
Liveness Detection Using Implicit 3D Features—0
Local-Adaptive Face Recognition via Graph-based Meta-Clustering and Regularized Adaptation—0
Local and Global Feature Attention Fusion Network for Face Recognition—0
Local Directional Gradient Pattern: A Local Descriptor for Face Recognition—0
Local Directional Relation Pattern for Unconstrained and Robust Face Retrieval—0
Local feature hierarchy for face recognition across pose and illumination—0
Local Features Meet Stochastic Anonymization: Revolutionizing Privacy-Preserving Face Recognition for Black-Box Models—0
Local Gradient Hexa Pattern: A Descriptor for Face Recognition and Retrieval—0
Locality-aware Channel-wise Dropout for Occluded Face Recognition—0
Locality preserving projection on SPD matrix Lie group: algorithm and analysis—0
Localization using Multi-Focal Spatial Attention for Masked Face Recognition—0
Longitudinal Analysis of Mask and No-Mask on Child Face Recognition—0
Longitudinal Evaluation of Child Face Recognition and the Impact of Underlying Age—0
Long-Range Biometric Identification in Real World Scenarios: A Comprehensive Evaluation Framework Based on Missions—0
Long-Term Identity-Aware Multi-Person Tracking for Surveillance Video Summarization—0
Look One and More: Distilling Hybrid Order Relational Knowledge for Cross-Resolution Image Recognition—0
Look Through Masks: Towards Masked Face Recognition with De-Occlusion Distillation—0
LOTR: Face Landmark Localization Using Localization Transformer—0
LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition—0
Low-Rank and Sparse Enhanced Tucker Decomposition for Tensor Completion—0
Low-Rank Laplacian-Uniform Mixed Model for Robust Face Recognition—0
Low-rank representations with incoherent dictionary for face recognition—0
Low-Resolution Face Recognition—0
Low-Resolution Face Recognition In Resource-Constrained Environments—0
On Low-Resolution Face Recognition in the Wild: Comparisons and New Techniques—0
Low-resolution Face Recognition in the Wild via Selective Knowledge Distillation—0
Low Resolution Face Recognition Using a Two-Branch Deep Convolutional Neural Network Architecture—0
Low-Resolution Face Recognition via Adaptable Instance-Relation Distillation—0
Low-Resolution Object Recognition with Cross-Resolution Relational Contrastive Distillation—0
LVFace: Large Vision model for Face Recogniton—0
M^2 Deep-ID: A Novel Model for Multi-View Face Identification Using Convolutional Deep Neural Networks—0
M2FPA: A Multi-Yaw Multi-Pitch High-Quality Database and Benchmark for Facial Pose Analysis—0
M2FPA: A Multi-Yaw Multi-Pitch High-Quality Dataset and Benchmark for Facial Pose Analysis—0
Machine learning with limited data—0
MAGMA: Multi-level accelerated gradient mirror descent algorithm for large-scale convex composite minimization—0
MagnifyMe: Aiding Cross Resolution Face Recognition via Identity Aware Synthesis—0
Show:102550
← PrevPage 34 of 47Next →
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 - MagFaceFNMR [%] @ 10-3 FMR0.96—Unverified
2PIC - QMagFaceFNMR [%] @ 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