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 1776–1800 of 2329 papers

Title	Date	Tasks	Status
Towards Pose Invariant Face Recognition in the Wild	Jun 1, 2018	Face RecognitionGenerative Adversarial Network	—Unverified
Sparse, Smart Contours to Represent and Edit Images	Jun 1, 2018	Face RecognitionImage Manipulation	—Unverified
Accurate and Efficient Similarity Search for Large Scale Face Recognition	Jun 1, 2018	ClassificationFace Recognition	—Unverified
Deep Imbalanced Learning for Face Recognition and Attribute Prediction	Jun 1, 2018	AttributeFace Recognition	CodeCode Available
Multiple Manifolds Metric Learning with Application to Image Set Classification	May 30, 2018	ClassificationFace Recognition	—Unverified
Face Recognition in Low Quality Images: A Survey	May 29, 2018	DeblurringFace Recognition	—Unverified
On Low-Resolution Face Recognition in the Wild: Comparisons and New Techniques	May 29, 2018	Face IdentificationFace Recognition	—Unverified
Face hallucination using cascaded super-resolution and identity priors	May 28, 2018	Face HallucinationFace Recognition	—Unverified
A Simple Riemannian Manifold Network for Image Set Classification	May 27, 2018	ClassificationFace Recognition	—Unverified
L1-(2D)2PCANet: A Deep Learning Network for Face Recognition	May 26, 2018	Deep LearningFace Recognition	—Unverified
What Face and Body Shapes Can Tell About Height	May 25, 2018	AnatomyAutonomous Driving	—Unverified
A Double-Deep Spatio-Angular Learning Framework for Light Field based Face Recognition	May 25, 2018	Face Recognition	—Unverified
Attributes in Multiple Facial Images	May 23, 2018	AttributeFace Recognition	—Unverified
Wildest Faces: Face Detection and Recognition in Violent Settings	May 19, 2018	Face DetectionFace Recognition	—Unverified
Minimum Margin Loss for Deep Face Recognition	May 17, 2018	Face Recognition	—Unverified
Fully Associative Patch-based 1-to-N Matcher for Face Recognition	May 15, 2018	Face Recognition	—Unverified
Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks	May 14, 2018	Autonomous DrivingCloud Computing	—Unverified
Replicating Active Appearance Model by Generator Network	May 14, 2018	Face Recognitionmodel	—Unverified
Anchor Cascade for Efficient Face Detection	May 9, 2018	Face DetectionFace Recognition	—Unverified
A Hierarchical Matcher using Local Classifier Chains	May 7, 2018	Face Recognition	—Unverified
DocFace: Matching ID Document Photos to Selfies	May 6, 2018	Face RecognitionTAR	CodeCode Available
Multi-Scale Face Restoration with Sequential Gating Ensemble Network	May 6, 2018	Ensemble LearningFace Recognition	—Unverified
Facial Landmarks Localization using Cascaded Neural Networks	May 3, 2018	Face RecognitionFacial Landmark Detection	—Unverified
How deep should be the depth of convolutional neural networks: a backyard dog case study	May 3, 2018	Face Recognition	—Unverified
RMDL: Random Multimodel Deep Learning for Classification	May 3, 2018	ClassificationDeep Learning	CodeCode Available

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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