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 151–175 of 360 papers

Title	Date	Tasks	Status	Hype
Contraction Mapping of Feature Norms for Classifier Learning on the Data with Different Quality	Jul 27, 2020	ClassificationFace Recognition	—Unverified	0
Multi-Metric Evaluation of Thermal-to-Visual Face Recognition	Jul 22, 2020	BIG-bench Machine LearningFace Identification	—Unverified	0
Generative Hierarchical Features from Synthesizing Images	Jul 20, 2020	Face Verificationimage-classification	CodeCode Available	1
SqueezeFacePoseNet: Lightweight Face Verification Across Different Poses for Mobile Platforms	Jul 16, 2020	Face RecognitionFace Verification	—Unverified	0
ECML: An Ensemble Cascade Metric Learning Mechanism towards Face Verification	Jul 11, 2020	Face VerificationFine-Grained Visual Recognition	CodeCode Available	0
Achieving Better Kinship Recognition Through Better Baseline	Jun 21, 2020	Face Image RetrievalFace Recognition	CodeCode Available	0
Deep Polynomial Neural Networks	Jun 20, 2020	Conditional Image GenerationFace Identification	CodeCode Available	1
Set Distribution Networks: a Generative Model for Sets of Images	Jun 18, 2020	3D ReconstructionFace Verification	—Unverified	0
Towards Gender-Neutral Face Descriptors for Mitigating Bias in Face Recognition	Jun 14, 2020	AttributeFace Recognition	—Unverified	0
MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles	Jun 6, 2020	DiversityFace Verification	CodeCode Available	1
Robust Face Verification via Disentangled Representations	Jun 5, 2020	Adversarial RobustnessFace Verification	CodeCode Available	0
FM2u-Net: Face Morphological Multi-Branch Network for Makeup-Invariant Face Verification	Jun 1, 2020	Face RecognitionFace Verification	—Unverified	0
Face Authentication from Grayscale Coded Light Field	May 31, 2020	Face RecognitionFace Verification	—Unverified	0
GroupFace: Learning Latent Groups and Constructing Group-based Representations for Face Recognition	May 21, 2020	Face IdentificationFace Recognition	CodeCode Available	1
Cosmetic-Aware Makeup Cleanser	Apr 20, 2020	Face ParsingFace Verification	—Unverified	0
Multi-Scale Thermal to Visible Face Verification via Attribute Guided Synthesis	Apr 20, 2020	AttributeFace Verification	—Unverified	0
CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition	Apr 1, 2020	Face RecognitionFace Verification	CodeCode Available	1
xCos: An Explainable Cosine Metric for Face Verification Task	Mar 11, 2020	Explainable Artificial Intelligence (XAI)Face Recognition	CodeCode Available	1
Unifying Specialist Image Embedding into Universal Image Embedding	Mar 8, 2020	Face VerificationImage Retrieval	—Unverified	0
Face Verification Using 60~GHz 802.11 waveforms	Feb 27, 2020	Face Verification	—Unverified	0
Circle Loss: A Unified Perspective of Pair Similarity Optimization	Feb 25, 2020	Face RecognitionFace Verification	CodeCode Available	1
An Overview of Two Age Synthesis and Estimation Techniques	Jan 26, 2020	Age EstimationFace Verification	—Unverified	0
HRFA: High-Resolution Feature-based Attack	Jan 21, 2020	DenoisingFace Verification	—Unverified	0
Face Verification via learning the kernel matrix	Jan 21, 2020	Face Verification	—Unverified	0
Investigating the Impact of Inclusion in Face Recognition Training Data on Individual Face Identification	Jan 9, 2020	Face IdentificationFace Recognition	—Unverified	0

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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