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 251–275 of 2329 papers

Title	Date	Tasks	Status	Hype	Score
FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition	Dec 23, 2021	Face RecognitionFederated Learning	CodeCode Available	1	5
Hiding Visual Information via Obfuscating Adversarial Perturbations	Sep 30, 2022	Adversarial AttackDe-identification	CodeCode Available	1	5
How to Boost Face Recognition with StyleGAN?	Oct 18, 2022	Face Recognition	CodeCode Available	1	5
Weakly supervised discriminative feature learning with state information for person identification	Feb 27, 2020	Face RecognitionPerson Identification	CodeCode Available	1	5
Improving Face Recognition with Large Age Gaps by Learning to Distinguish Children	Oct 22, 2021	Face Recognition	CodeCode Available	1	5
K-FACE: A Large-Scale KIST Face Database in Consideration with Unconstrained Environments	Mar 3, 2021	Age EstimationFace Model	CodeCode Available	1	5
CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition	Apr 1, 2020	Face RecognitionFace Verification	CodeCode Available	1	5
Attention-based Partial Face Recognition	Jun 11, 2021	Face Recognition	CodeCode Available	1	5
Masked Face Recognition for Secure Authentication	Aug 25, 2020	Face Recognition	CodeCode Available	1	5
A Unified Framework for Masked and Mask-Free Face Recognition via Feature Rectification	Feb 15, 2022	Face Recognition	CodeCode Available	1	5
Graph Jigsaw Learning for Cartoon Face Recognition	Jul 14, 2021	ClassificationFace Recognition	CodeCode Available	1	5
GroupFace: Learning Latent Groups and Constructing Group-based Representations for Face Recognition	May 21, 2020	Face IdentificationFace Recognition	CodeCode Available	1	5
A2-LINK: Recognizing Disguised Faces via Active Learning and Adversarial Noise based Inter-Domain Knowledge	Jun 1, 2020	Active LearningDomain Adaptation	CodeCode Available	1	5
Representation Learning with Statistical Independence to Mitigate Bias	Oct 8, 2019	Face RecognitionGender Classification	CodeCode Available	1	5
Intra-Processing Methods for Debiasing Neural Networks	Jun 15, 2020	Face RecognitionFairness	CodeCode Available	1	5
Biometric Quality: Review and Application to Face Recognition with FaceQnet	Jun 5, 2020	Face Recognition	CodeCode Available	1	5
Identity-driven Three-Player Generative Adversarial Network for Synthetic-based Face Recognition	Apr 30, 2023	Face RecognitionGenerative Adversarial Network	CodeCode Available	1	5
Identity-Preserving Aging of Face Images via Latent Diffusion Models	Jul 17, 2023	Face Recognition	CodeCode Available	1	5
Boosting Semi-Supervised Face Recognition with Noise Robustness	May 10, 2021	Face Recognition	CodeCode Available	1	5
BoundaryFace: A mining framework with noise label self-correction for Face Recognition	Oct 10, 2022	Face Recognition	CodeCode Available	1	5
AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations	May 1, 2019	Face RecognitionFace Verification	CodeCode Available	1	5
BroadFace: Looking at Tens of Thousands of People at Once for Face Recognition	Aug 15, 2020	Face IdentificationFace Recognition	CodeCode Available	1	5
ChildPredictor: A Child Face Prediction Framework with Disentangled Learning	Apr 21, 2022	Age-Invariant Face RecognitionFace Recognition	CodeCode Available	1	5
Associative Memory Impairments arising from Neurodegenerative Diseases and Traumatic Brain Injuries in a Hopfield Network Model	Sep 24, 2016	DiagnosticFace Recognition	CodeCode Available	0	5
A Comprehensive Survey on Pose-Invariant Face Recognition	Feb 15, 2015	Face GenerationFace Recognition	CodeCode Available	0	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