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 2251–2275 of 2329 papers

Title	Date	Tasks	Status
Deep Variational Privacy Funnel: General Modeling with Applications in Face Recognition	Jan 26, 2024	Face RecognitionPrivacy Preserving	CodeCode Available
Unveiling the Two-Faced Truth: Disentangling Morphed Identities for Face Morphing Detection	Jun 5, 2023	Face Morphing Attack DetectionFace Recognition	CodeCode Available
Tackling Face Verification Edge Cases: In-Depth Analysis and Human-Machine Fusion Approach	Apr 17, 2023	Face RecognitionFace Verification	CodeCode Available
Preferences Prediction using a Gallery of Mobile Device based on Scene Recognition and Object Detection	Jul 10, 2019	Face Recognitionobject-detection	CodeCode Available
Face Aging With Conditional Generative Adversarial Networks	Feb 7, 2017	Age EstimationFace Recognition	CodeCode Available
SensitiveNets: Learning Agnostic Representations with Application to Face Images	Feb 1, 2019	Face RecognitionFairness	CodeCode Available
SeqFace: Make full use of sequence information for face recognition	Mar 17, 2018	Face RecognitionFace Verification	CodeCode Available
LB-CNN: An Open Source Framework for Fast Training of Light Binary Convolutional Neural Networks using Chainer and Cupy	Jun 25, 2021	Face Recognition	CodeCode Available
Real Time Face Recognition Using Convoluted Neural Networks	Oct 9, 2020	Face Recognition	CodeCode Available
Exploring the Open World Using Incremental Extreme Value Machines	May 30, 2022	Class Incremental LearningComputational Efficiency	CodeCode Available
A visualization method for data domain changes in CNN networks and the optimization method for selecting thresholds in classification tasks	Apr 19, 2024	Data AugmentationData Visualization	CodeCode Available
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning	Dec 15, 2017	Data PoisoningDeep Learning	CodeCode Available
Occluded Face Recognition Using Low-rank Regression with Generalized Gradient Direction	Jun 6, 2019	Dictionary LearningFace Recognition	CodeCode Available
Set-Based Face Recognition Beyond Disentanglement: Burstiness Suppression With Variance Vocabulary	Apr 13, 2023	DisentanglementFace Recognition	CodeCode Available
Child Face Recognition at Scale: Synthetic Data Generation and Performance Benchmark	Apr 23, 2023	Face RecognitionSynthetic Data Generation	CodeCode Available
Occlusion Robust Face Recognition Based on Mask Learning with PairwiseDifferential Siamese Network	Aug 17, 2019	Face RecognitionRobust Face Recognition	CodeCode Available
Occlusion Robust Face Recognition Based on Mask Learning With Pairwise Differential Siamese Network	Oct 1, 2019	Face RecognitionRobust Face Recognition	CodeCode Available
Deep Tree Learning for Zero-shot Face Anti-Spoofing	Apr 5, 2019	Face Anti-SpoofingFace Recognition	CodeCode Available
Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection	Jul 9, 2019	Face Anti-SpoofingFace Presentation Attack Detection	CodeCode Available
Zero-shot racially balanced dataset generation using an existing biased StyleGAN2	May 12, 2023	Dataset GenerationDiversity	CodeCode Available
Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues	Aug 14, 2019	Face Recognition	CodeCode Available
On Complex Valued Convolutional Neural Networks	Feb 29, 2016	Cell DetectionFace Recognition	CodeCode Available
Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations	Apr 19, 2024	2kContrastive Learning	CodeCode Available
Task-Free Continual Learning	Dec 10, 2018	Continual LearningFace Recognition	CodeCode Available
Deep Learning Face Representation by Joint Identification-Verification	Jun 18, 2014	Deep LearningFace Identification	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