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 1601–1650 of 2329 papers

TitleStatusHype
Towards Unsupervised Domain Adaptation for Deep Face Recognition under Privacy Constraints via Federated Learning—0
Towards Visual Saliency Explanations of Face Verification—0
Trade-off Between Spatial and Angular Resolution in Facial Recognition—0
Trading-off Mutual Information on Feature Aggregation for Face Recognition—0
Training face verification models from generated face identity data—0
Training-Free Synthesized Face Sketch Recognition Using Image Quality Assessment Metrics—0
Transferability and Hardness of Supervised Classification Tasks—0
Transferable Adversarial Facial Images for Privacy Protection—0
Transferable Learned Image Compression-Resistant Adversarial Perturbations—0
Transformation-Invariant Convolutional Jungles—0
Transformer-based dimensionality reduction—0
Transformer-Based Auxiliary Loss for Face Recognition Across Age Variations—0
TransRPPG: Remote Photoplethysmography Transformer for 3D Mask Face Presentation Attack Detection—0
Trashbusters: Deep Learning Approach for Litter Detection and Tracking—0
Tree-gated Deep Regressor Ensemble For Face Alignment In The Wild—0
TripletGAN: Training Generative Model with Triplet Loss—0
Triplet Knowledge Distillation—0
Trunk-Branch Ensemble Convolutional Neural Networks for Video-based Face Recognition—0
TSDW: A Tri-Stream Dynamic Weight Network for Cloth-Changing Person Re-Identification—0
Two Dimensional Stochastic Configuration Networks for Image Data Analytics—0
Two-Face: Adversarial Audit of Commercial Face Recognition Systems—0
Two-in-One: A Model Hijacking Attack Against Text Generation Models—0
Two-stream Convolutional Networks for Multi-frame Face Anti-spoofing—0
A New Periocular Dataset Collected by Mobile Devices in Unconstrained Scenarios—0
UIFace: Unleashing Inherent Model Capabilities to Enhance Intra-Class Diversity in Synthetic Face Recognition—0
UMDFaces: An Annotated Face Dataset for Training Deep Networks—0
UMFN: Unified Multi-Domain Face Normalization for Joint Cross-domain Prototype Learning and Heterogeneous Face Recognition—0
Uncertainty Modeling of Contextual-Connections between Tracklets for Unconstrained Video-based Face Recognition—0
Unconstrained Face Detection and Open-Set Face Recognition Challenge—0
Unconstrained Face Recognition using ASURF and Cloud-Forest Classifier optimized with VLAD—0
Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks—0
Undermining Image and Text Classification Algorithms Using Adversarial Attacks—0
Understanding Cross Domain Presentation Attack Detection for Visible Face Recognition—0
Understanding Fake Faces—0
Understanding Unconventional Preprocessors in Deep Convolutional Neural Networks for Face Identification—0
Unequal-Training for Deep Face Recognition With Long-Tailed Noisy Data—0
Unified Face Matching and Physical-Digital Spoofing Attack Detection—0
Unified Physical-Digital Attack Detection Challenge—0
Unified Physical-Digital Face Attack Detection—0
Unified Representation Learning for Cross Model Compatibility—0
UniformFace: Learning Deep Equidistributed Representation for Face Recognition—0
Unique Faces Recognition in Videos—0
Universal Adversarial Spoofing Attacks against Face Recognition—0
Unknown Identity Rejection Loss: Utilizing Unlabeled Data for Face Recognition—0
Unmasking the Uniqueness: A Glimpse into Age-Invariant Face Recognition of Indigenous African Faces—0
Unravelling Robustness of Deep Learning based Face Recognition Against Adversarial Attacks—0
Unsupervised Domain Adaptation for Distance Metric Learning—0
Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos—0
Unsupervised learning of clutter-resistant visual representations from natural videos—0
Unsupervised Spiking Instance Segmentation on Event Data using STDP—0
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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