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 51–100 of 360 papers

TitleStatusHype
Confidence Intervals for Error Rates in 1:1 Matching Tasks: Critical Statistical Analysis and RecommendationsCode0
Human-Machine Comparison for Cross-Race Face Verification: Race Bias at the Upper Limits of Performance?—0
Towards Visual Saliency Explanations of Face Verification—0
Age-Invariant Face Embedding using the Wasserstein Distance—0
Racial Bias within Face Recognition: A Survey—0
Efficient Explainable Face Verification based on Similarity Score Argument BackpropagationCode1
Tackling Face Verification Edge Cases: In-Depth Analysis and Human-Machine Fusion ApproachCode0
GhostFaceNets: Lightweight Face Recognition Model From Cheap OperationsCode2
An information-theoretic learning model based on importance sampling—0
Semantic Adversarial Attacks on Face Recognition through Significant Attributes—0
GH-Feat: Learning Versatile Generative Hierarchical Features from GANs—0
Learning Representations for Masked Facial Recovery—0
A Brief Survey on Person Recognition at a Distance—0
Generating 2D and 3D Master Faces for Dictionary Attacks with a Network-Assisted Latent Space Evolution—0
Explainable Model-Agnostic Similarity and Confidence in Face VerificationCode1
Improving Deep Facial Phenotyping for Ultra-rare Disorder Verification Using Model EnsemblesCode1
Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture ModelCode0
Cluster and Aggregate: Face Recognition with Large Probe SetCode1
T2V-DDPM: Thermal to Visible Face Translation using Denoising Diffusion Probabilistic ModelsCode1
Learning Audio-Visual embedding for Person Verification in the Wild—0
Sim2Word: Explaining Similarity with Representative Attribute Words via Counterfactual ExplanationsCode1
Can GAN-induced Attribute Manipulations Impact Face Recognition?—0
On Biased Behavior of GANs for Face VerificationCode0
GesSure- A Robust Face-Authentication enabled Dynamic Gesture Recognition GUI Application—0
Controllable and Guided Face Synthesis for Unconstrained Face RecognitionCode1
Octuplet Loss: Make Face Recognition Robust to Image ResolutionCode1
Activation Template Matching Loss for Explainable Face Recognition—0
Learning Towards the Largest Margins—0
Single Morphing Attack Detection using Siamese Network and Few-shot Learning—0
Boosting the Adversarial Transferability of Surrogate Models with Dark KnowledgeCode1
ReFace: Real-time Adversarial Attacks on Face Recognition Systems—0
Thermal to Visible Image Synthesis under Atmospheric Turbulence—0
AdaFace: Quality Adaptive Margin for Face RecognitionCode2
Killing Two Birds with One Stone:Efficient and Robust Training of Face Recognition CNNs by Partial FCCode0
Face Verification Bypass—0
Unified Negative Pair Generation toward Well-discriminative Feature Space for Face RecognitionCode1
Audio visual character profiles for detecting background characters in entertainment media—0
Portrait Eyeglasses and Shadow Removal by Leveraging 3D Synthetic DataCode1
Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse InputCode1
A Deep Dive into Dataset Imbalance and Bias in Face Identification—0
Probabilistic Embeddings RevisitedCode1
It's All in the Head: Representation Knowledge Distillation through Classifier SharingCode1
US-GAN: On the importance of Ultimate Skip Connection for Facial Expression Synthesis—0
Distill and De-bias: Mitigating Bias in Face Verification using Knowledge Distillation—0
LTT-GAN: Looking Through Turbulence by Inverting GANs—0
QMagFace: Simple and Accurate Quality-Aware Face RecognitionCode1
MixFace: Improving Face Verification Focusing on Fine-grained ConditionsCode1
Longitudinal Analysis of Mask and No-Mask on Child Face Recognition—0
FocusFace: Multi-task Contrastive Learning for Masked Face RecognitionCode1
The Effect of Wearing a Face Mask on Face Image Quality—0
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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