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 101–150 of 360 papers

TitleStatusHype
Deep Heterogeneous Feature Fusion for Template-Based Face Recognition—0
Dependency-aware Attention Control for Unconstrained Face Recognition with Image Sets—0
Autoencoder Based Face Verification System—0
Diffusion-based Adversarial Identity Manipulation for Facial Privacy Protection—0
A Machine Learning-Based Secure Face Verification Scheme and Its Applications to Digital Surveillance—0
Discriminate-and-Rectify Encoders: Learning from Image Transformation Sets—0
Hierarchical-PEP Model for Real-World Face Recognition—0
Audio-Visual Kinship Verification—0
Distill and De-bias: Mitigating Bias in Face Verification using Knowledge Distillation—0
Canonical Face Embeddings—0
GesSure- A Robust Face-Authentication enabled Dynamic Gesture Recognition GUI Application—0
Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis—0
Class Interference Regularization—0
An Efficient Method for Face Recognition System In Various Assorted Conditions—0
A Large-Scale, Time-Synchronized Visible and Thermal Face Dataset—0
Audio visual character profiles for detecting background characters in entertainment media—0
Generating 2D and 3D Master Faces for Dictionary Attacks with a Network-Assisted Latent Space Evolution—0
GH-Feat: Learning Versatile Generative Hierarchical Features from GANs—0
Deep Convolutional Decision Jungle for Image Classification—0
Explainable Face Verification via Feature-Guided Gradient Backpropagation—0
Deep Asymmetric Metric Learning via Rich Relationship Mining—0
Combined Learning of Salient Local Descriptors and Distance Metrics for Image Set Face Verification—0
Exploring 3D Face Reconstruction and Fusion Methods for Face Verification: A Case-Study in Video Surveillance—0
Exponential Discriminative Metric Embedding in Deep Learning—0
Attributes for Improved Attributes: A Multi-Task Network for Attribute Classification—0
Face Authentication from Grayscale Coded Light Field—0
Data Quality in Crowdsourcing and Spamming Behavior Detection—0
Attribute-Guided Face Generation Using Conditional CycleGAN—0
Accurate and Efficient Similarity Search for Large Scale Face Recognition—0
Hierarchical Representation Learning for Kinship Verification—0
Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition—0
Attention Control with Metric Learning Alignment for Image Set-based Recognition—0
Cross-Spectral Attention for Unsupervised RGB-IR Face Verification and Person Re-identification—0
Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning—0
Attentional Feature-Pair Relation Networks for Accurate Face Recognition—0
Age-Invariant Face Embedding using the Wasserstein Distance—0
Cross-Domain Face Verification: Matching ID Document and Self-Portrait Photographs—0
Active User Authentication for Smartphones: A Challenge Data Set and Benchmark Results—0
Fusing Robust Face Region Descriptors via Multiple Metric Learning for Face Recognition in the Wild—0
Face Verification via learning the kernel matrix—0
Age Gap Reducer-GAN for Recognizing Age-Separated Faces—0
Face Verification Using Kernel Principle Component Analysis—0
Face Verification Using Boosted Cross-Image Features—0
A Study on the Impact of Face Image Quality on Face Recognition in the Wild—0
Found in Translation: semantic approaches for enhancing AI interpretability in face verification—0
Cross-Age Face Verification by Coordinating With Cross-Face Age Verification—0
A Synthesis-Based Approach for Thermal-to-Visible Face Verification—0
Gallery-Aware Uncertainty Estimation For Open-Set Face Recognition—0
Facial Landmark Detection with Tweaked Convolutional Neural Networks—0
Generalized Attacks on Face Verification Systems—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