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 851–900 of 2329 papers

TitleStatusHype
An anomaly detection approach for backdoored neural networks: face recognition as a case studyCode0
Disentangling Identity and Pose for Facial Expression Recognition—0
Does lossy image compression affect racial bias within face recognition?—0
OrthoMAD: Morphing Attack Detection Through Orthogonal Identity DisentanglementCode0
Modeling biological face recognition with deep convolutional neural networks—0
Face Morphing Attacks and Face Image Quality: The Effect of Morphing and the Unsupervised Attack Detection by Quality—0
Rethinking Robust Representation Learning Under Fine-grained Noisy Faces—0
Eight Years of Face Recognition Research: Reproducibility, Achievements and Open Issues—0
Pairwise Learning via Stagewise Training in Proximal Setting—0
Multi-Frames Temporal Abnormal Clues Learning Method for Face Anti-Spoofing—0
MorDeephy: Face Morphing Detection Via Fused Classification—0
Analyzing the Impact of Shape & Context on the Face Recognition Performance of Deep Networks—0
NIR-to-VIS Face Recognition via Embedding Relations and Coordinates of the Pairwise Features—0
Neural Correlates of Face Familiarity Perception—0
Towards Accurate and Robust Classification in Continuously Transitioning Industrial Sprays with Mixup—0
AU-Supervised Convolutional Vision Transformers for Synthetic Facial Expression RecognitionCode0
An Efficient Method for Face Quality Assessment on the Edge—0
On the Study of Sample Complexity for Polynomial Neural Networks—0
Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain—0
DuetFace: Collaborative Privacy-Preserving Face Recognition via Channel Splitting in the Frequency Domain—0
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and UtilityCode0
The Power of Transfer Learning in Agricultural Applications: AgriNet—0
Towards Intrinsic Common Discriminative Features Learning for Face Forgery Detection using Adversarial Learning—0
Activation Template Matching Loss for Explainable Face Recognition—0
RAF: Recursive Adversarial Attacks on Face Recognition Using Extremely Limited Queries—0
Face Morphing Attack Detection Using Privacy-Aware Training Data—0
iExam: A Novel Online Exam Monitoring and Analysis System Based on Face Detection and RecognitionCode0
RSTAM: An Effective Black-Box Impersonation Attack on Face Recognition using a Mobile and Compact Printer—0
What makes you, you? Analyzing Recognition by Swapping Face PartsCode0
An Efficient Industrial Federated Learning Framework for AIoT: A Face Recognition Application—0
Low-Mid Adversarial Perturbation against Unauthorized Face Recognition System—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
Minimum Noticeable Difference based Adversarial Privacy Preserving Image Generation—0
AggNet: Learning to Aggregate Faces for Group Membership Verification—0
Heterogeneous Face Recognition via Face Synthesis with Identity-Attribute Disentanglement—0
The Gender Gap in Face Recognition Accuracy Is a Hairy Problem—0
Reconstruct Face from Features Using GAN Generator as a Distribution Constraint—0
ReFace: Real-time Adversarial Attacks on Face Recognition Systems—0
Evaluation-oriented Knowledge Distillation for Deep Face Recognition—0
Analysis of face detection, face landmarking, and face recognition performance with masked face images—0
Exploring the Open World Using Incremental Extreme Value MachinesCode0
Median Pixel Difference Convolutional Network for Robust Face Recognition—0
FaIRCoP: Facial Image Retrieval using Contrastive Personalization—0
Face Morphing: Fooling a Face Recognition System Is Simple!—0
Deep face recognition with clustering based domain adaptation—0
Physical-World Optical Adversarial Attacks on 3D Face Recognition—0
DPSNN: A Differentially Private Spiking Neural Network with Temporal Enhanced Pooling—0
FaceMAE: Privacy-Preserving Face Recognition via Masked Autoencoders—0
Fused Deep Neural Network based Transfer Learning in Occluded Face Classification and Person re-Identification—0
A Novel Face-Anti Spoofing Neural Network Model For Face Recognition And Detection—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 - QMagFaceFNMR [%] @ 10-3 FMR0.96—Unverified
2PIC - MagFaceFNMR [%] @ 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