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

Showing 201–250 of 360 papers

TitleStatusHype
Dependency-aware Attention Control for Unconstrained Face Recognition with Image Sets—0
A Deep Image Compression Framework for Face Recognition—0
FaceGenderID: Exploiting Gender Information in DCNNs Face Recognition SystemsCode0
Audio-Visual Kinship Verification—0
Deep Asymmetric Metric Learning via Rich Relationship Mining—0
Probabilistic Face EmbeddingsCode0
Polarimetric Thermal to Visible Face Verification via Self-Attention Guided Synthesis—0
Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network—0
Face Detection in Repeated Settings—0
Occlusion-guided compact template learning for ensemble deep network-based pose-invariant face recognition—0
On measuring the iconicity of a face—0
FaceLiveNet+: A Holistic Networks For Face Authentication Based On Dynamic Multi-task Convolutional Neural Networks—0
Deep learning and face recognition: the state of the art—0
Striking the Right Balance with Uncertainty—0
Polarimetric Thermal to Visible Face Verification via Attribute Preserved Synthesis—0
Learning based Facial Image Compression with Semantic Fidelity Metric—0
Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks—0
Classification is a Strong Baseline for Deep Metric LearningCode0
Virtual Class Enhanced Discriminative Embedding LearningCode0
Automatic Face Aging in Videos via Deep Reinforcement Learning—0
Saliency Supervision: An Intuitive and Effective Approach for Pain Intensity Regression—0
Pairwise Relational Networks using Local Appearance Features for Face Recognition—0
Face Verification and Forgery Detection for Ophthalmic Surgery Images—0
Neural Generative Models for 3D Faces with Application in 3D Texture Free Face Recognition—0
GhostVLAD for set-based face recognitionCode0
Understanding Fake Faces—0
Global and Local Consistent Wavelet-domain Age Synthesis—0
Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face RecognitionCode0
Face Recognition with Contrastive Convolution—0
An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification—0
Pairwise Relational Networks for Face Recognition—0
Deep Sketch-Photo Face Recognition Assisted by Facial Attributes—0
Deep Cross Modal Learning for Caricature Verification and Identification(CaVINet)Code0
Multicolumn Networks for Face RecognitionCode0
Git Loss for Deep Face RecognitionCode0
SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face HallucinationCode0
Accurate and Efficient Similarity Search for Large Scale Face Recognition—0
Learning to Generate Facial Depth Maps—0
Hierarchical Representation Learning for Kinship Verification—0
Long-term face tracking in the wild using deep learning—0
Siamese Capsule Networks—0
Deep Face Recognition: A SurveyCode0
Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable ModelCode0
Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition—0
Transferring Rich Deep Features for Facial Beauty PredictionCode0
SeqFace: Make full use of sequence information for face recognitionCode0
Motion deblurring of faces—0
Exponential Discriminative Metric Embedding in Deep Learning—0
Pose-Robust Face Recognition via Deep Residual Equivariant MappingCode0
Ring loss: Convex Feature Normalization for Face Recognition—0
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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