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 2001–2050 of 2329 papers

TitleStatusHype
CCFace: Classification Consistency for Low-Resolution Face Recognition—0
Cell Variational Information Bottleneck Network—0
Characterizing the Variability in Face Recognition Accuracy Relative to Race—0
ChatGPT and biometrics: an assessment of face recognition, gender detection, and age estimation capabilities—0
ChatGPT Encounters Morphing Attack Detection: Zero-Shot MAD with Multi-Modal Large Language Models and General Vision Models—0
ChatGPT Meets Iris Biometrics—0
Cheating Detection Pipeline for Online Interviews and Exams—0
Child Face Age-Progression via Deep Feature Aging—0
Class Attendance System in Education with Deep Learning Method—0
Classification of Fused Images using Radial Basis Function Neural Network for Human Face Recognition—0
Classification of Polar-Thermal Eigenfaces using Multilayer Perceptron for Human Face Recognition—0
Classification with Repulsion Tensors: A Case Study on Face Recognition—0
Classifier-to-Generator Attack: Estimation of Training Data Distribution from Classifier—0
CLFace: A Scalable and Resource-Efficient Continual Learning Framework for Lifelong Face Recognition—0
CLIPC8: Face liveness detection algorithm based on image-text pairs and contrastive learning—0
CLIP Unreasonable Potential in Single-Shot Face Recognition—0
Cloud-Based Face and Speech Recognition for Access Control Applications—0
CLR-Face: Conditional Latent Refinement for Blind Face Restoration Using Score-Based Diffusion Models—0
ClusterFace: Joint Clustering and Classification for Set-Based Face Recognition—0
CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection—0
Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression—0
Collaborative Discriminant Locality Preserving Projections With its Application to Face Recognition—0
Collaborative Representation based Classification for Face Recognition—0
Collaborative representation-based robust face recognition by discriminative low-rank representation—0
Collaborative Representation Classification Ensemble for Face Recognition—0
Collaborative Representation for Classification, Sparse or Non-sparse?—0
Color Face Recognition using High-Dimension Quaternion-based Adaptive Representation—0
Combined Classifiers for Invariant Face Recognition—0
Combined Learning of Salient Local Descriptors and Distance Metrics for Image Set Face Verification—0
Combining Keystroke Dynamics and Face Recognition for User Verification—0
Combining Visible Light and Infrared Imaging for Efficient Detection of Respiratory Infections such as COVID-19 on Portable Device—0
Co-Mining: Deep Face Recognition With Noisy Labels—0
Exploring the Interchangeability of CNN Embedding Spaces—0
Comparator Networks—0
Comparing Face Detection and Recognition Techniques—0
Comparing Human and Machine Bias in Face Recognition—0
Comparison research on binary relations based on transitive degrees and cluster degrees—0
ComplexFace: a Multi-Representation Approach for Image Classification with Small Dataset—0
Complex Matrix Factorization for Face Recognition—0
Compositional Dictionaries for Domain Adaptive Face Recognition—0
Compositional Hierarchical Tensor Factorization: Representing Hierarchical Intrinsic and Extrinsic Causal Factors—0
Comprehensive Equity Index (CEI): Definition and Application to Bias Evaluation in Biometrics—0
Compressed Models Decompress Race Biases: What Quantized Models Forget for Fair Face Recognition—0
Computer-assisted Speaker Diarization: How to Evaluate Human Corrections—0
CoNAN: Conditional Neural Aggregation Network For Unconstrained Face Feature Fusion—0
Concealing the identity of faces in oblique images with adaptive hopping Gaussian mixtures—0
Concept Discovery in Deep Neural Networks for Explainable Face Anti-Spoofing—0
Conditional Convolutional Neural Network for Modality-Aware Face Recognition—0
Confidence-Aware RGB-D Face Recognition via Virtual Depth Synthesis—0
Consistent Instance False Positive Improves Fairness in 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