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 76–100 of 360 papers

Title	Date	Tasks	Status	Score
DeepID3: Face Recognition with Very Deep Neural Networks	Feb 3, 2015	Face IdentificationFace Recognition	CodeCode Available	5
LEGAN: Disentangled Manipulation of Directional Lighting and Facial Expressions by Leveraging Human Perceptual Judgements	Oct 4, 2020	Face Verification	CodeCode Available	5
Improving Shadow Suppression for Illumination Robust Face Recognition	Oct 13, 2017	Face RecognitionFace Verification	CodeCode Available	5
Deep Cross Modal Learning for Caricature Verification and Identification(CaVINet)	Jul 31, 2018	CaricatureFace Recognition	CodeCode Available	5
A Light CNN for Deep Face Representation with Noisy Labels	Nov 9, 2015	Face IdentificationFace Recognition	CodeCode Available	5
Git Loss for Deep Face Recognition	Jul 23, 2018	Face IdentificationFace Recognition	CodeCode Available	5
How Good is ChatGPT at Face Biometrics? A First Look into Recognition, Soft Biometrics, and Explainability	Jan 24, 2024	Face VerificationZero-Shot Learning	CodeCode Available	5
DAAL: Density-Aware Adaptive Line Margin Loss for Multi-Modal Deep Metric Learning	Oct 7, 2024	Face VerificationMetric Learning	CodeCode Available	5
DeepFace: Closing the Gap to Human-Level Performance in Face Verification	Jun 24, 2014	3D Face ModellingFace Recognition	CodeCode Available	5
GhostVLAD for set-based face recognition	Oct 23, 2018	Face RecognitionFace Verification	CodeCode Available	5
Deep Face Recognition: A Survey	Apr 18, 2018	Face RecognitionFace Verification	CodeCode Available	5
Susceptibility to Image Resolution in Face Recognition and Trainings Strategies	Jul 8, 2021	Face RecognitionFace Verification	CodeCode Available	5
Fairer Analysis and Demographically Balanced Face Generation for Fairer Face Verification	Dec 4, 2024	Face GenerationFace Recognition	CodeCode Available	5
KFC: Kinship Verification with Fair Contrastive Loss and Multi-Task Learning	Sep 19, 2023	Face VerificationFairness	CodeCode Available	5
Killing Two Birds with One Stone:Efficient and Robust Training of Face Recognition CNNs by Partial FC	Mar 28, 2022	Face RecognitionFace Verification	CodeCode Available	5
Deep Learning Face Representation by Joint Identification-Verification	Jun 18, 2014	Deep LearningFace Identification	CodeCode Available	5
Face Verification with Challenging Imposters and Diversified Demographics	Oct 16, 2021	Face Verification	CodeCode Available	5
FacePoseNet: Making a Case for Landmark-Free Face Alignment	Aug 24, 2017	3D Face AlignmentFace Alignment	CodeCode Available	5
Deep Meta Metric Learning	Oct 1, 2019	Face VerificationMetric Learning	CodeCode Available	5
Facial Beauty Analysis Using Distribution Prediction and CNN Ensembles	Dec 10, 2023	Face VerificationFacial Beauty Prediction	CodeCode Available	5
FaceGenderID: Exploiting Gender Information in DCNNs Face Recognition Systems	Jun 28, 2019	Face RecognitionFace Verification	CodeCode Available	5
Face Detection with End-to-End Integration of a ConvNet and a 3D Model	Jun 2, 2016	Face DetectionFace Model	CodeCode Available	5
Face Morphing Attack Detection with Denoising Diffusion Probabilistic Models	Jun 27, 2023	DenoisingFace Morphing Attack Detection	CodeCode Available	5
An All-In-One Convolutional Neural Network for Face Analysis	Nov 3, 2016	Age EstimationAll	CodeCode Available	5
Explanation based Handwriting Verification	Aug 14, 2019	Explainable Artificial Intelligence (XAI)Face Verification	CodeCode Available	5

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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