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 201–210 of 2329 papers

Title	Date	Tasks	Status	Hype	Score
MixFace: Improving Face Verification Focusing on Fine-grained Conditions	Nov 2, 2021	Face RecognitionFace Verification	CodeCode Available	1	5
MixFaceNets: Extremely Efficient Face Recognition Networks	Jul 27, 2021	Face RecognitionFace Verification	CodeCode Available	1	5
DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks	Jun 15, 2023	Adversarial DefenseFace Recognition	CodeCode Available	1	5
DiffFAS: Face Anti-Spoofing via Generative Diffusion Models	Sep 13, 2024	Face Anti-SpoofingFace Recognition	CodeCode Available	1	5
DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic Models	May 9, 2023	DenoisingFace Image Quality	CodeCode Available	1	5
MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation	Oct 21, 2021	Face DetectionFace Recognition	CodeCode Available	1	5
Age Estimation Using Expectation of Label Distribution Learning	Jul 13, 2018	Age EstimationFace Recognition	CodeCode Available	1	5
Expanding Accurate Person Recognition to New Altitudes and Ranges: The BRIAR Dataset	Nov 3, 2022	Face RecognitionPerson Recognition	CodeCode Available	1	5
Network Pruning using Adaptive Exemplar Filters	Jan 20, 2021	CPUFace Recognition	CodeCode Available	1	5
Explainable Model-Agnostic Similarity and Confidence in Face Verification	Nov 24, 2022	Face RecognitionFace Verification	CodeCode Available	1	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