SOTAVerified

Face Verification

Face Verification is a machine learning task in computer vision that involves determining whether two facial images belong to the same person or not. The task involves extracting features from the facial images, such as the shape and texture of the face, and then using these features to compare and verify the similarity between the images.

( Image credit: Pose-Robust Face Recognition via Deep Residual Equivariant Mapping )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–250 of 360 papers

TitleStatusHype
Temporal Non-Volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition—0
Learning Audio-Visual embedding for Person Verification in the Wild—0
Learning based Facial Image Compression with Semantic Fidelity Metric—0
Learning Compositional Visual Concepts with Mutual Consistency—0
Learning Deep Representations for Ground-to-Aerial Geolocalization—0
Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning—0
Learning Grimaces by Watching TV—0
Learning invariant representations and applications to face verification—0
Learning Locally-Adaptive Decision Functions for Person Verification—0
Learning Representations for Masked Facial Recovery—0
Learning to Align from Scratch—0
Learning to Generate Facial Depth Maps—0
Learning Towards the Largest Margins—0
The Do's and Don'ts for CNN-based Face Verification—0
A Synthesis-Based Approach for Thermal-to-Visible Face Verification—0
Leveraging the Power of Gabor Phase for Face Identification: A Block Matching Approach—0
Local Inter-Session Variability Modelling for Object Classification—0
The Effect of Wearing a Face Mask on Face Image Quality—0
Longitudinal Analysis of Mask and No-Mask on Child Face Recognition—0
A Study on the Impact of Face Image Quality on Face Recognition in the Wild—0
Long-term face tracking in the wild using deep learning—0
Thermal to Visible Image Synthesis under Atmospheric Turbulence—0
LTT-GAN: Looking Through Turbulence by Inverting GANs—0
A Proximity-Aware Hierarchical Clustering of Faces—0
Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification—0
TinySiamese Network for Biometric Analysis—0
Masked Face Recognition: Human vs. Machine—0
Toward Open-Set Face Recognition—0
Metric Classification Network in Actual Face Recognition Scene—0
MFR 2021: Masked Face Recognition Competition—0
Toward Privacy and Utility Preserving Image Representation—0
An Overview of Two Age Synthesis and Estimation Techniques—0
An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification—0
An Efficient Method for Face Recognition System In Various Assorted Conditions—0
Modeling Score Distributions and Continuous Covariates: A Bayesian Approach—0
Motion deblurring of faces—0
Towards A Comprehensive Visual Saliency Explanation Framework for AI-based Face Recognition Systems—0
Towards Fair Face Verification: An In-depth Analysis of Demographic Biases—0
Robust Character Labeling in Movie Videos: Data Resources and Self-supervised Feature Adaptation—0
Multi-Metric Evaluation of Thermal-to-Visual Face Recognition—0
Multi-Scale Thermal to Visible Face Verification via Attribute Guided Synthesis—0
Neural Aggregation Network for Video Face Recognition—0
Neural Class-Specific Regression for face verification—0
Neural Generative Models for 3D Faces with Application in 3D Texture Free Face Recognition—0
Neuron Pruning for Compressing Deep Networks using Maxout Architectures—0
Towards Protecting Face Embeddings in Mobile Face Verification Scenarios—0
Occlusion-guided compact template learning for ensemble deep network-based pose-invariant face recognition—0
An Efficient Color Face Verification Based on 2-Directional 2-Dimensional Feature Extraction—0
Towards the Design of an End-to-End Automated System for Image and Video-based Recognition—0
Online Feature Selection with Group Structure Analysis—0
Show:102550
← PrevPage 5 of 8Next →
All datasetsIJB-CIJB-AIJB-BMegaFaceYouTube Faces DBBTS3.1Labeled Faces in the WildTrillion Pairs DatasetAgeDB-30CFP-FPBUAA-VisNirCASIA NIR-VIS 2.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1WebFace42M baselineTAR @ FAR=1e-497.7—Unverified
2AdaFace (WebFace4M)TAR @ FAR=1e-497.39—Unverified
3FFCTAR @ FAR=1e-497.31—Unverified
4CAFace+AdaFace (WebFace4M)TAR @ FAR=1e-497.3—Unverified
5Partial FCTAR @ FAR=1e-597.23—Unverified
6AdaFace (MS1MV3)TAR @ FAR=1e-497.09—Unverified
7PartialFCTAR @ FAR=1e-596.93—Unverified
8AdaFace (MS1MV2)TAR @ FAR=1e-496.89—Unverified
9ElasticFace-CosTAR @ FAR=1e-496.57—Unverified
10Arc+UNPGTAR @ FAR=1e-496.33—Unverified
#ModelMetricClaimedVerifiedStatus
1Dual-Agent GANsTAR @ FAR=0.0197.6—Unverified
2PFEfuse + matchTAR @ FAR=0.0197.5—Unverified
3SE-GV-4-g1TAR @ FAR=0.0197.2—Unverified
4L2-constrained softmax lossTAR @ FAR=0.0197—Unverified
5VGGFace2_ftTAR @ FAR=0.0196.8—Unverified
6StyleFNMTAR @ FAR=0.0194.6—Unverified
7Deep Residual Equivariant MappingTAR @ FAR=0.0194.4—Unverified
8NANTAR @ FAR=0.0194.1—Unverified
9Template adaptationTAR @ FAR=0.0193.9—Unverified
10All-in-one CNNTAR @ FAR=0.0192.2—Unverified
#ModelMetricClaimedVerifiedStatus
1QMagFaceTAR @ FAR=0.0197.72—Unverified
2Arc+UNPGTAR @ FAR=0.0197.7—Unverified
3Mag+UNPGTAR @ FAR=0.0197.63—Unverified
4Cos+UNPGTAR @ FAR=0.0197.36—Unverified
5CAFace+AdaFace (WebFace4M)TAR @ FAR=0.00196.91—Unverified
6PartialFC(WebFace42M)TAR@FAR=0.000196.71—Unverified
7FPNTAR @ FAR=0.0196.5—Unverified
8SE-GV-3-g2TAR @ FAR=0.0196.4—Unverified
9AdaFace (WebFace4M)TAR@FAR=0.000196.03—Unverified
10AdaFace (MS1MV3)TAR@FAR=0.000195.84—Unverified
#ModelMetricClaimedVerifiedStatus
1ProdpolyAccuracy98.95—Unverified
2ElasticFace-ArcAccuracy98.81—Unverified
3GhostFaceNetV2-1Accuracy98.72—Unverified
4ArcFace + MS1MV2 + R100 + RAccuracy98.48—Unverified
5DiscFaceAccuracy97.44—Unverified
6Dynamic AdaCosAccuracy97.41—Unverified
7SV-AM-SoftmaxAccuracy97.38—Unverified
8CosFaceAccuracy96.65—Unverified
9PFEfuse + matchAccuracy92.51—Unverified
10SphereFace (3-patch ensemble)Accuracy89.14—Unverified
#ModelMetricClaimedVerifiedStatus
1SeqFace, 1 ResNet-64Accuracy98.12—Unverified
2ArcFace + MS1MV2 + R100,Accuracy98.02—Unverified
3CosFaceAccuracy97.6—Unverified
4VGG-FaceAccuracy97.4—Unverified
5PFEfuse+matchAccuracy97.36—Unverified
6QANAccuracy96.17—Unverified
7Light CNN-29Accuracy95.54—Unverified
8Git LossAccuracy95.3—Unverified
9FaceNetAccuracy95.12—Unverified
10SphereFaceAccuracy95—Unverified
#ModelMetricClaimedVerifiedStatus
1ProxyFusion (Adaface)TAR @ FAR=0.010.69—Unverified
2CoNAN (Adaface)TAR @ FAR=0.010.56—Unverified
3NAN (Adaface)TAR @ FAR=0.010.54—Unverified
4MCN (Adaface)TAR @ FAR=0.010.54—Unverified
5CAFace (Adaface)TAR @ FAR=0.010.51—Unverified
6MCN (Arcface)TAR @ FAR=0.010.39—Unverified
7NAN (Arcface)TAR @ FAR=0.010.39—Unverified
#ModelMetricClaimedVerifiedStatus
1ArcFace + MS1MV2 + R100,Accuracy99.83—Unverified
2FaceNetAccuracy99.63—Unverified
3DlibAccuracy99.38—Unverified
4VGG-FaceAccuracy98.78—Unverified
5DeepFaceAccuracy98.37—Unverified
6DeepIDAccuracy97.05—Unverified
7OpenFaceAccuracy92.92—Unverified
#ModelMetricClaimedVerifiedStatus
1SV-AM-SoftmaxAccuracy72.71—Unverified
2AM-SoftmaxAccuracy61.61—Unverified
3Arc-SoftmaxAccuracy57.45—Unverified
4A-SoftmaxAccuracy43.76—Unverified
5F-SoftmaxAccuracy37.14—Unverified
6HM-SoftmaxAccuracy34.46—Unverified
#ModelMetricClaimedVerifiedStatus
1PartialFC(R200)Accuracy0.99—Unverified
2GhostFaceNetV2-1Accuracy0.99—Unverified
3DiscFaceAccuracy0.98—Unverified
4VarGFaceNetAccuracy0.98—Unverified
5VarGNetAccuracy0.97—Unverified
#ModelMetricClaimedVerifiedStatus
1PartialFC (R200)Accuracy1—Unverified
2QMagFaceAccuracy0.99—Unverified
3VarGFaceNetAccuracy0.99—Unverified
4VarGNetAccuracy0.9—Unverified
5QMagFaceAccuracy0.84—Unverified
#ModelMetricClaimedVerifiedStatus
1LightCNN-29 + DVGTAR @ FAR=0.00197.3—Unverified
2DVR Wu et al. (2019)TAR @ FAR=0.00196.9—Unverified
3W-CNN He et al. (2018)TAR @ FAR=0.00191.9—Unverified
#ModelMetricClaimedVerifiedStatus
1LightCNN-29 + DVGTAR @ FAR=0.00199.8—Unverified
2DVR Wu et al. (2019)TAR @ FAR=0.00199.6—Unverified
3W-CNN He et al. (2018)TAR @ FAR=0.00198.4—Unverified
#ModelMetricClaimedVerifiedStatus
1ArcFaceR50 + EM-FRRBFAR33.65—Unverified
2ArcFaceR50 + EM-CBFAR2.44—Unverified
3ArcFaceR50 + EM-FARBFAR2.11—Unverified
#ModelMetricClaimedVerifiedStatus
1LightCNN-29 + DVGTAR @ FAR=0.00192.9—Unverified
2DVR Wu et al. (2019)TAR @ FAR=0.00184.9—Unverified
3W-CNN He et al. (2018)TAR @ FAR=0.00154.6—Unverified
#ModelMetricClaimedVerifiedStatus
1DiscFaceAccuracy96.15—Unverified
2SFaceAccuracy93.95—Unverified
#ModelMetricClaimedVerifiedStatus
1DiscFaceAccuracy93.37—Unverified
2SFaceAccuracy91.05—Unverified
#ModelMetricClaimedVerifiedStatus
1AdaFace+CSFMRank-1 (Video2Booking)72.65—Unverified
2ArcFace+CSFMRank-1 (Video2Booking)65.95—Unverified
#ModelMetricClaimedVerifiedStatus
1SphereFaceAccuracy93.8—Unverified
#ModelMetricClaimedVerifiedStatus
1LightCNN-29 + DVGTAR @ FAR=0.0197.86—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepId2+Accuracy96.5—Unverified
#ModelMetricClaimedVerifiedStatus
1DiscFaceTAR @ FAR=0.135.9—Unverified