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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 476–500 of 2329 papers

Title	Date	Tasks	Status	Score
Face Aging With Conditional Generative Adversarial Networks	Feb 7, 2017	Age EstimationFace Recognition	CodeCode Available	5
FaceGenderID: Exploiting Gender Information in DCNNs Face Recognition Systems	Jun 28, 2019	Face RecognitionFace Verification	CodeCode Available	5
Pixel-Level Alignment of Facial Images for High Accuracy Recognition Using Ensemble of Patches	Feb 7, 2018	Face AlignmentFace Recognition	CodeCode Available	5
Face-NMS: A Core-set Selection Approach for Efficient Face Recognition	Sep 10, 2021	Face RecognitionGPU	CodeCode Available	5
Pose-Robust Face Recognition via Deep Residual Equivariant Mapping	Mar 2, 2018	Face IdentificationFace Recognition	CodeCode Available	5
Face Recognition: From Traditional to Deep Learning Methods	Oct 31, 2018	BIG-bench Machine LearningDeep Learning	CodeCode Available	5
Fast Geometrically-Perturbed Adversarial Faces	Sep 24, 2018	Face Recognition	CodeCode Available	5
Artificial Immune System of Secure Face Recognition Against Adversarial Attacks	Jun 26, 2024	DiversityFace Recognition	CodeCode Available	5
PPL: Pairwise Prototype Learning for Masked Face Recognition	Nov 21, 2022	Face RecognitionFine-Grained Image Recognition	CodeCode Available	5
A Multi-viewpoint Outdoor Dataset for Human Action Recognition	Oct 7, 2021	Action RecognitionFace Recognition	CodeCode Available	5
Explainability of the Implications of Supervised and Unsupervised Face Image Quality Estimations Through Activation Map Variation Analyses in Face Recognition Models	Dec 9, 2021	Face Image QualityFace Image Quality Assessment	CodeCode Available	5
A Multiresolution 3D Morphable Face Model and Fitting Framework	Feb 1, 2016	3D Face ReconstructionFace Generation	CodeCode Available	5
A visualization method for data domain changes in CNN networks and the optimization method for selecting thresholds in classification tasks	Apr 19, 2024	Data AugmentationData Visualization	CodeCode Available	5
Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation	Jun 10, 2021	Face Recognition	CodeCode Available	5
Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues	Aug 14, 2019	Face Recognition	CodeCode Available	5
Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair Selection	Jan 19, 2025	Face RecognitionImage Retrieval	CodeCode Available	5
Evaluating the Effectiveness of Attack-Agnostic Features for Morphing Attack Detection	Oct 22, 2024	Face Recognition	CodeCode Available	5
Adaptive Neuron-wise Discriminant Criterion and Adaptive Center Loss at Hidden Layer for Deep Convolutional Neural Network	Apr 17, 2020	Face RecognitionGeneral Classification	CodeCode Available	5
Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems	Dec 5, 2017	Face Recognition	CodeCode Available	5
Efficient Global Neural Architecture Search	Feb 8, 2025	Face RecognitionImage Classification	CodeCode Available	5
Efficient Realistic Data Generation Framework leveraging Deep Learning-based Human Digitization	Jun 28, 2021	BenchmarkingDeep Learning	CodeCode Available	5
Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations	Apr 19, 2024	2kContrastive Learning	CodeCode Available	5
Cross-Resolution Learning for Face Recognition	Dec 5, 2019	Face RecognitionSuper-Resolution	CodeCode Available	5
Enhancing Robustness of On-line Learning Models on Highly Noisy Data	Mar 19, 2021	Anomaly DetectionFace Recognition	CodeCode Available	5
Explaining Bias in Deep Face Recognition via Image Characteristics	Aug 23, 2022	AttributeFace Recognition	CodeCode Available	5

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All datasets LFW CFP-FP CASIA-WebFace+masks CelebA+masks MLFW AgeDB-30 Color FERET IJB-B CALFW mebeblurf MFW+ (M-M)MFW+ (U-M)

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	PIC - ArcFace	FNMR [%] @ 10-3 FMR	4.38	—	Unverified
2	GhostFaceNetV2-1 (MS1MV3)	Accuracy	1	—	Unverified
3	SymFace + AdaFace + ResNet100 +WebFace (MS1MV2)	Accuracy	1	—	Unverified
4	Prodpoly	Accuracy	1	—	Unverified
5	DiscFace	Accuracy	1	—	Unverified
6	ArcFace + MS1MV2 + R100	Accuracy	1	—	Unverified
7	DCQ	Accuracy	1	—	Unverified
8	AdaFace + WebFace4M + R100	Accuracy	1	—	Unverified
9	EdgeFace - S (g=0.5)	Accuracy	1	—	Unverified
10	EdgeFace - XS (g=0.6)	Accuracy	1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GhostFaceNetV2-1	Accuracy	0.99	—	Unverified
2	SymFace + AdaFace + ResNet100 +WebFace	Accuracy	0.99	—	Unverified
3	ElasticFace-Arc	Accuracy	0.99	—	Unverified
4	DiscFace	Accuracy	0.99	—	Unverified
5	CircleLoss(ours)	Accuracy	0.96	—	Unverified
6	EdgeFace - S (g=0.5)	Accuracy	0.96	—	Unverified
7	DCQ	Accuracy	0.93	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Fine-tuned ArcFace	Accuracy	91.47	—	Unverified
2	Fine-tuned FaceNet	Accuracy	88.06	—	Unverified
3	ArcFace	Accuracy	87.95	—	Unverified
4	Fine-tuned VGG-Face	Accuracy	86.85	—	Unverified
5	FaceNet	Accuracy	84.21	—	Unverified
6	VGG-Face	Accuracy	79.65	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Fine-tuned ArcFace	Accuracy	95.43	—	Unverified
2	Fine-tuned FaceNet	Accuracy	93.58	—	Unverified
3	ArcFace	Accuracy	91.78	—	Unverified
4	Fine-tuned VGG-Face	Accuracy	91.51	—	Unverified
5	FaceNet	Accuracy	90.96	—	Unverified
6	VGG-Face	Accuracy	84.56	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MS1MV2, R100, SFace	Accuracy	91.57	—	Unverified
2	MS1MV2, R100, Arcface	Accuracy	90.57	—	Unverified
3	MS1MV2, R100, Curricularface	Accuracy	90.43	—	Unverified
4	VGGFace2, R50, ArcFace	Accuracy	85.95	—	Unverified
5	CASIA-WebFace, R50, CosFace	Accuracy	82.52	—	Unverified
6	Private-Asia, R50, ArcFace	Accuracy	77.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Prodpoly	Accuracy	0.98	—	Unverified
2	ElasticFace-Cos	Accuracy	0.98	—	Unverified
3	Transformer loss+ArcFace ResNet100	Accuracy	0.98	—	Unverified
4	DCQ	Accuracy	0.98	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	VGG based	5-class test accuracy	99.2	—	Unverified
2	PIC - ArcFace	FNMR [%] @ 10-3 FMR	4.22	—	Unverified
3	PIC - MagFace	FNMR [%] @ 10-3 FMR	3.92	—	Unverified
4	PIC - QMagFace	FNMR [%] @ 10-3 FMR	3.24	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ElasticFace-Cos	TAR @ FAR=0.0001	0.95	—	Unverified
2	ArcFace+CSFM	Rank-1	0.95	—	Unverified
3	ArcFace + MS1MV2 + R100	Rank-1	0.95	—	Unverified
4	AdaFace + MS1MV3 + R100	TAR @ FAR=0.0001	0.94	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Prodpoly	Accuracy	0.96	—	Unverified
2	ElasticFace-Arc	Accuracy	0.96	—	Unverified
3	GhostFaceNetV2-1	Accuracy	0.96	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PIC - ArcFace	FNMR [%] @ 10-3 FMR	10.1	—	Unverified
2	PIC - QMagFace	FNMR [%] @ 10-3 FMR	9.78	—	Unverified
3	PIC - MagFace	FNMR [%] @ 10-3 FMR	9.75	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ArcFace + PPL	TAR@FAR=0.0001	78.8	—	Unverified
2	MaskInv-HG	TAR@FAR=0.0001	78.36	—	Unverified
3	FocusFace	TAR@FAR=0.0001	77.77	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AdaFace+PPL	TAR@FAR=0.0001	84.27	—	Unverified
2	MaskInv-HG	TAR@FAR=0.0001	83.82	—	Unverified
3	FocusFace	TAR@FAR=0.0001	83.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PIC - QMagFace	FNMR [%] @ 10-3 FMR	0.96	—	Unverified
2	PIC - MagFace	FNMR [%] @ 10-3 FMR	0.96	—	Unverified
3	PIC - ArcFace	FNMR [%] @ 10-3 FMR	0.05	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FaceNet+Adaptive Threshold	Average Accuracy (10 times)	84.3	—	Unverified
2	FaceNet+Fixed Threshold (0.2487)	Average Accuracy (10 times)	80.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Model with Up Convolution + DoG Filter (Aligned)	Rank-1	85	—	Unverified
2	DPM	Rank-1	71	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FaceNet+Adaptive Threshold	Average Accuracy (10 times)	83.79	—	Unverified
2	FaceNet+Fixed Threshold (0.3968)	Average Accuracy (10 times)	80.72	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GhostFaceNetV2-1	Accuracy	0.95	—	Unverified
2	ElasticFace-Arc	Accuracy	0.93	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FaceNet+Adaptive Threshold	Average Accuracy (10 times)	76.46	—	Unverified
2	FaceNet+Fixed Threshold (0.3779)	Average Accuracy (10 times)	53.97	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Wang et al. [5]	Rank-1	94.5	—	Unverified
2	Multi-task	Rank-1	84.32	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Model with Up Convolution + DoG Filter	Rank-1	87.2	—	Unverified
2	DPM	Rank-1	83.73	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MCN	TAR @ FAR=0.01	0.54	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GhostFaceNetV2-1	Accuracy	99.91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Model with Up Convolution + DoG Filter	Rank-1	88.33	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Partial FC	MFR-ALL	97.85	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FaceTransformer+OctupletLoss	Accuracy	0.95	—	Unverified