Face Verification

Face Verification is a machine learning task in computer vision that involves determining whether two facial images belong to the same person or not. The task involves extracting features from the facial images, such as the shape and texture of the face, and then using these features to compare and verify the similarity between the images.

( Image credit: Pose-Robust Face Recognition via Deep Residual Equivariant Mapping )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 251–275 of 360 papers

Title	Date	Tasks	Status
Face Aging with Contextual Generative Adversarial Nets	Feb 1, 2018	Face Verification	—Unverified
Face Flashing: a Secure Liveness Detection Protocol based on Light Reflections	Jan 6, 2018	Face Verification	—Unverified
Improving Network Robustness against Adversarial Attacks with Compact Convolution	Dec 3, 2017	Face Verification	—Unverified
Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis	Dec 1, 2017	Face GenerationFace Model	—Unverified
Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning	Nov 28, 2017	Face VerificationMORPH	—Unverified
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions	Nov 22, 2017	Face VerificationImage Classification	CodeCode Available
Locally Smoothed Neural Networks	Nov 22, 2017	Face VerificationQuestion Answering	CodeCode Available
Learning Compositional Visual Concepts with Mutual Consistency	Nov 16, 2017	Data AugmentationFace Verification	—Unverified
Improving Shadow Suppression for Illumination Robust Face Recognition	Oct 13, 2017	Face RecognitionFace Verification	CodeCode Available
Strengths and Weaknesses of Deep Learning Models for Face Recognition Against Image Degradations	Oct 4, 2017	Face RecognitionFace Verification	CodeCode Available
Organizing Multimedia Data in Video Surveillance Systems Based on Face Verification with Convolutional Neural Networks	Sep 17, 2017	ClusteringFace Verification	—Unverified
Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification	Sep 12, 2017	Face Verification	—Unverified
Deep multi-frame face super-resolution	Sep 10, 2017	Face RecognitionFace Verification	—Unverified
Neural Class-Specific Regression for face verification	Aug 31, 2017	Face Verificationregression	—Unverified
Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments	Aug 28, 2017	AttributeFace Recognition	—Unverified
FacePoseNet: Making a Case for Landmark-Free Face Alignment	Aug 24, 2017	3D Face AlignmentFace Alignment	CodeCode Available
Unconstrained Face Detection and Open-Set Face Recognition Challenge	Aug 8, 2017	Face DetectionFace Identification	—Unverified
Neuron Pruning for Compressing Deep Networks using Maxout Architectures	Jul 21, 2017	Face VerificationHandwritten Digit Recognition	—Unverified
Improving speaker turn embedding by crossmodal transfer learning from face embedding	Jul 10, 2017	ClusteringFace Verification	—Unverified
von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification	Jun 13, 2017	ClusteringFace Verification	—Unverified
Deep Convolutional Decision Jungle for Image Classification	Jun 6, 2017	ClassificationFace Verification	—Unverified
Personalized Age Progression with Bi-level Aging Dictionary Learning	Jun 4, 2017	Dictionary LearningFace Verification	—Unverified
Attribute-Guided Face Generation Using Conditional CycleGAN	May 28, 2017	AttributeFace Generation	—Unverified
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks	May 22, 2017	Face VerificationImage Generation	CodeCode Available
The Do's and Don'ts for CNN-based Face Verification	May 21, 2017	Face RecognitionFace Verification	—Unverified

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All datasets IJB-C IJB-A IJB-B MegaFace YouTube Faces DB BTS3.1 Labeled Faces in the Wild Trillion Pairs Dataset AgeDB-30 CFP-FP BUAA-VisNir CASIA NIR-VIS 2.0

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	WebFace42M baseline	TAR @ FAR=1e-4	97.7	—	Unverified
2	AdaFace (WebFace4M)	TAR @ FAR=1e-4	97.39	—	Unverified
3	FFC	TAR @ FAR=1e-4	97.31	—	Unverified
4	CAFace+AdaFace (WebFace4M)	TAR @ FAR=1e-4	97.3	—	Unverified
5	Partial FC	TAR @ FAR=1e-5	97.23	—	Unverified
6	AdaFace (MS1MV3)	TAR @ FAR=1e-4	97.09	—	Unverified
7	PartialFC	TAR @ FAR=1e-5	96.93	—	Unverified
8	AdaFace (MS1MV2)	TAR @ FAR=1e-4	96.89	—	Unverified
9	ElasticFace-Cos	TAR @ FAR=1e-4	96.57	—	Unverified
10	Arc+UNPG	TAR @ FAR=1e-4	96.33	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Dual-Agent GANs	TAR @ FAR=0.01	97.6	—	Unverified
2	PFEfuse + match	TAR @ FAR=0.01	97.5	—	Unverified
3	SE-GV-4-g1	TAR @ FAR=0.01	97.2	—	Unverified
4	L2-constrained softmax loss	TAR @ FAR=0.01	97	—	Unverified
5	VGGFace2_ft	TAR @ FAR=0.01	96.8	—	Unverified
6	StyleFNM	TAR @ FAR=0.01	94.6	—	Unverified
7	Deep Residual Equivariant Mapping	TAR @ FAR=0.01	94.4	—	Unverified
8	NAN	TAR @ FAR=0.01	94.1	—	Unverified
9	Template adaptation	TAR @ FAR=0.01	93.9	—	Unverified
10	All-in-one CNN	TAR @ FAR=0.01	92.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	QMagFace	TAR @ FAR=0.01	97.72	—	Unverified
2	Arc+UNPG	TAR @ FAR=0.01	97.7	—	Unverified
3	Mag+UNPG	TAR @ FAR=0.01	97.63	—	Unverified
4	Cos+UNPG	TAR @ FAR=0.01	97.36	—	Unverified
5	CAFace+AdaFace (WebFace4M)	TAR @ FAR=0.001	96.91	—	Unverified
6	PartialFC(WebFace42M)	TAR@FAR=0.0001	96.71	—	Unverified
7	FPN	TAR @ FAR=0.01	96.5	—	Unverified
8	SE-GV-3-g2	TAR @ FAR=0.01	96.4	—	Unverified
9	AdaFace (WebFace4M)	TAR@FAR=0.0001	96.03	—	Unverified
10	AdaFace (MS1MV3)	TAR@FAR=0.0001	95.84	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Prodpoly	Accuracy	98.95	—	Unverified
2	ElasticFace-Arc	Accuracy	98.81	—	Unverified
3	GhostFaceNetV2-1	Accuracy	98.72	—	Unverified
4	ArcFace + MS1MV2 + R100 + R	Accuracy	98.48	—	Unverified
5	DiscFace	Accuracy	97.44	—	Unverified
6	Dynamic AdaCos	Accuracy	97.41	—	Unverified
7	SV-AM-Softmax	Accuracy	97.38	—	Unverified
8	CosFace	Accuracy	96.65	—	Unverified
9	PFEfuse + match	Accuracy	92.51	—	Unverified
10	SphereFace (3-patch ensemble)	Accuracy	89.14	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SeqFace, 1 ResNet-64	Accuracy	98.12	—	Unverified
2	ArcFace + MS1MV2 + R100,	Accuracy	98.02	—	Unverified
3	CosFace	Accuracy	97.6	—	Unverified
4	VGG-Face	Accuracy	97.4	—	Unverified
5	PFEfuse+match	Accuracy	97.36	—	Unverified
6	QAN	Accuracy	96.17	—	Unverified
7	Light CNN-29	Accuracy	95.54	—	Unverified
8	Git Loss	Accuracy	95.3	—	Unverified
9	FaceNet	Accuracy	95.12	—	Unverified
10	SphereFace	Accuracy	95	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ProxyFusion (Adaface)	TAR @ FAR=0.01	0.69	—	Unverified
2	CoNAN (Adaface)	TAR @ FAR=0.01	0.56	—	Unverified
3	NAN (Adaface)	TAR @ FAR=0.01	0.54	—	Unverified
4	MCN (Adaface)	TAR @ FAR=0.01	0.54	—	Unverified
5	CAFace (Adaface)	TAR @ FAR=0.01	0.51	—	Unverified
6	MCN (Arcface)	TAR @ FAR=0.01	0.39	—	Unverified
7	NAN (Arcface)	TAR @ FAR=0.01	0.39	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ArcFace + MS1MV2 + R100,	Accuracy	99.83	—	Unverified
2	FaceNet	Accuracy	99.63	—	Unverified
3	Dlib	Accuracy	99.38	—	Unverified
4	VGG-Face	Accuracy	98.78	—	Unverified
5	DeepFace	Accuracy	98.37	—	Unverified
6	DeepID	Accuracy	97.05	—	Unverified
7	OpenFace	Accuracy	92.92	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SV-AM-Softmax	Accuracy	72.71	—	Unverified
2	AM-Softmax	Accuracy	61.61	—	Unverified
3	Arc-Softmax	Accuracy	57.45	—	Unverified
4	A-Softmax	Accuracy	43.76	—	Unverified
5	F-Softmax	Accuracy	37.14	—	Unverified
6	HM-Softmax	Accuracy	34.46	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PartialFC(R200)	Accuracy	0.99	—	Unverified
2	GhostFaceNetV2-1	Accuracy	0.99	—	Unverified
3	DiscFace	Accuracy	0.98	—	Unverified
4	VarGFaceNet	Accuracy	0.98	—	Unverified
5	VarGNet	Accuracy	0.97	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PartialFC (R200)	Accuracy	1	—	Unverified
2	QMagFace	Accuracy	0.99	—	Unverified
3	VarGFaceNet	Accuracy	0.99	—	Unverified
4	VarGNet	Accuracy	0.9	—	Unverified
5	QMagFace	Accuracy	0.84	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LightCNN-29 + DVG	TAR @ FAR=0.001	97.3	—	Unverified
2	DVR Wu et al. (2019)	TAR @ FAR=0.001	96.9	—	Unverified
3	W-CNN He et al. (2018)	TAR @ FAR=0.001	91.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LightCNN-29 + DVG	TAR @ FAR=0.001	99.8	—	Unverified
2	DVR Wu et al. (2019)	TAR @ FAR=0.001	99.6	—	Unverified
3	W-CNN He et al. (2018)	TAR @ FAR=0.001	98.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ArcFaceR50 + EM-FRR	BFAR	33.65	—	Unverified
2	ArcFaceR50 + EM-C	BFAR	2.44	—	Unverified
3	ArcFaceR50 + EM-FAR	BFAR	2.11	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LightCNN-29 + DVG	TAR @ FAR=0.001	92.9	—	Unverified
2	DVR Wu et al. (2019)	TAR @ FAR=0.001	84.9	—	Unverified
3	W-CNN He et al. (2018)	TAR @ FAR=0.001	54.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DiscFace	Accuracy	96.15	—	Unverified
2	SFace	Accuracy	93.95	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DiscFace	Accuracy	93.37	—	Unverified
2	SFace	Accuracy	91.05	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AdaFace+CSFM	Rank-1 (Video2Booking)	72.65	—	Unverified
2	ArcFace+CSFM	Rank-1 (Video2Booking)	65.95	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SphereFace	Accuracy	93.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LightCNN-29 + DVG	TAR @ FAR=0.01	97.86	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DeepId2+	Accuracy	96.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DiscFace	TAR @ FAR=0.1	35.9	—	Unverified