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 651–700 of 2329 papers

TitleStatusHype
Face Shape-Guided Deep Feature Alignment for Face Recognition Robust to Face Misalignment—0
Just Noticeable Difference Modeling for Face Recognition System—0
Vec2Face-v2: Unveil Human Faces from their Blackbox Features via Attention-based Network in Face Recognition—0
Can GAN-induced Attribute Manipulations Impact Face Recognition?—0
Information Maximization for Extreme Pose Face Recognition—0
ScaleFace: Uncertainty-aware Deep Metric LearningCode0
Distilling Facial Knowledge With Teacher-Tasks: Semantic-Segmentation-Features For Pose-Invariant Face-Recognition—0
On the detection of morphing attacks generated by GANs—0
Iterative Optimization of Pseudo Ground-Truth Face Image Quality Labels—0
Towards Explaining Demographic Bias through the Eyes of Face Recognition ModelsCode0
Towards Robust Face Recognition with Comprehensive Search—0
Face Anti-Spoofing from the Perspective of Data Sampling—0
Self-Supervised Face Presentation Attack Detection with Dynamic Grayscale Snippets—0
TESTSGD: Interpretable Testing of Neural Networks Against Subtle Group Discrimination—0
SubFace: Learning with Softmax Approximation for Face Recognition—0
Explaining Bias in Deep Face Recognition via Image CharacteristicsCode0
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
Unsupervised Face Morphing Attack Detection via Self-paced Anomaly DetectionCode1
Face Morphing Attacks and Face Image Quality: The Effect of Morphing and the Unsupervised Attack Detection by Quality—0
Pairwise Learning via Stagewise Training in Proximal Setting—0
Rethinking Robust Representation Learning Under Fine-grained Noisy Faces—0
Multi-Frames Temporal Abnormal Clues Learning Method for Face Anti-Spoofing—0
Eight Years of Face Recognition Research: Reproducibility, Achievements and Open Issues—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
OCFR 2022: Competition on Occluded Face Recognition From Synthetically Generated Structure-Aware OcclusionsCode1
Neural Correlates of Face Familiarity Perception—0
Few-Shot Class-Incremental Learning from an Open-Set PerspectiveCode1
Towards Privacy-Preserving, Real-Time and Lossless Feature MatchingCode1
DAS: Densely-Anchored Sampling for Deep Metric LearningCode1
On Mitigating Hard Clusters for Face ClusteringCode1
UFO: Unified Feature OptimizationCode1
Controllable and Guided Face Synthesis for Unconstrained Face RecognitionCode1
AU-Supervised Convolutional Vision Transformers for Synthetic Facial Expression RecognitionCode0
Towards Accurate and Robust Classification in Continuously Transitioning Industrial Sprays with Mixup—0
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
Octuplet Loss: Make Face Recognition Robust to Image ResolutionCode1
Perturbation Inactivation Based Adversarial Defense for Face RecognitionCode1
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and UtilityCode0
Towards Intrinsic Common Discriminative Features Learning for Face Forgery Detection using Adversarial Learning—0
The Power of Transfer Learning in Agricultural Applications: AgriNet—0
Activation Template Matching Loss for Explainable Face Recognition—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