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Age Estimation

Age Estimation is the task of estimating the age of a person from an image some other kind of data.

( Image credit: BridgeNet )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 41–50 of 254 papers

Title	Date	Tasks	Status	Hype	Score
OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression	Jun 6, 2022	Aesthetics Quality AssessmentAge Estimation	CodeCode Available	1	5
A comparison study: the impact of age and gender distribution on age estimation	Jan 10, 2022	Age Estimation	CodeCode Available	0	5
Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images	Jun 25, 2025	Age Estimation	CodeCode Available	0	5
Facial Age Estimation using Convolutional Neural Networks	May 14, 2021	Age EstimationFace Recognition	CodeCode Available	0	5
Adversarial Regression Learning for Bone Age Estimation	Mar 10, 2021	Age Estimationregression	CodeCode Available	0	5
Fair and accurate age prediction using distribution aware data curation and augmentation	Sep 11, 2020	Age EstimationData Augmentation	CodeCode Available	0	5
Brain Age Estimation with a Greedy Dual-Stream Model for Limited Datasets	Jul 5, 2024	Age EstimationMedical Image Analysis	CodeCode Available	0	5
An All-In-One Convolutional Neural Network for Face Analysis	Nov 3, 2016	Age EstimationAll	CodeCode Available	0	5
Brain Age Estimation Using Structural MRI: A Clustered Federated Learning Approach	Jul 27, 2023	Age EstimationFederated Learning	CodeCode Available	0	5
Facial age estimation by deep residual decision making	Aug 28, 2019	Age EstimationDecision Making	CodeCode Available	0	5

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All datasets UTKFace CACD MORPH album2 (Caucasian)AFAD AgeDB MORPH Album2 (SE)FGNET MORPH Album2 ChaLearn 2015 mebeblurf ChaLearn 2016 IMDB-Clean

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	CORAL	MAE	5.39	—	Unverified
2	ResNet-50-Regression	MAE	4.72	—	Unverified
3	Randomized Bins	MAE	4.55	—	Unverified
4	ResNet-50-Unimodal-Concentrated	MAE	4.47	—	Unverified
5	ResNet-50-DLDL-v2	MAE	4.42	—	Unverified
6	ResNet-50-Mean-Variance	MAE	4.42	—	Unverified
7	ResNet-50-OR-CNN	MAE	4.4	—	Unverified
8	ResNet-50-DLDL	MAE	4.39	—	Unverified
9	ResNet-50-Cross-Entropy	MAE	4.38	—	Unverified
10	MWR	MAE	4.37	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CORAL	MAE	5.35	—	Unverified
2	RNDF	MAE	4.6	—	Unverified
3	MWR	MAE	4.41	—	Unverified
4	ResNet-50-Unimodal-Concentrated	MAE	4.1	—	Unverified
5	ResNet-50-Mean-Variance	MAE	4.07	—	Unverified
6	ResNet-50-Regression	MAE	4.06	—	Unverified
7	ResNet-50-OR-CNN	MAE	4.01	—	Unverified
8	ResNet-50-DLDL-v2	MAE	3.96	—	Unverified
9	FaRL+MLP	MAE	3.96	—	Unverified
10	ResNet-50-SORD	MAE	3.96	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	dLDLF	MAE	3.02	—	Unverified
2	DRFs	MAE	2.91	—	Unverified
3	DEX	MAE	2.68	—	Unverified
4	OL	MAE	2.41	—	Unverified
5	BridgeNet	MAE	2.38	—	Unverified
6	AVDL	MAE	2.37	—	Unverified
7	POE	MAE	2.35	—	Unverified
8	OrdinalCLIP	MAE	2.32	—	Unverified
9	DRC-ORID	MAE	2.26	—	Unverified
10	MetaAge	MAE	2.23	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CORAL	MAE	3.48	—	Unverified
2	ResNet-50-Unimodal-Concentrated	MAE	3.2	—	Unverified
3	ResNet-50-Regression	MAE	3.17	—	Unverified
4	ResNet-50-OR-CNN	MAE	3.16	—	Unverified
5	ResNet-50-Mean-Variance	MAE	3.16	—	Unverified
6	ResNet-50-DLDL-v2	MAE	3.15	—	Unverified
7	ResNet-50-Cross-Entropy	MAE	3.14	—	Unverified
8	ResNet-50-SORD	MAE	3.14	—	Unverified
9	ResNet-50-DLDL	MAE	3.14	—	Unverified
10	FaRL+MLP	MAE	3.12	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ResNet-50-Regression	MAE	6.23	—	Unverified
2	ResNet-50-Unimodal-Concentrated	MAE	5.9	—	Unverified
3	ResNet-50-Mean-Variance	MAE	5.85	—	Unverified
4	ResNet-50-Cross-Entropy	MAE	5.81	—	Unverified
5	ResNet-50-SORD	MAE	5.81	—	Unverified
6	ResNet-50-DLDL	MAE	5.8	—	Unverified
7	ResNet-50-DLDL-v2	MAE	5.8	—	Unverified
8	ResNet-50-OR-CNN	MAE	5.78	—	Unverified
9	FaRL+MLP	MAE	5.64	—	Unverified
10	MiVOLO-D1	MAE	5.55	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FaRL+MLP	MAE	3.04	—	Unverified
2	ResNet-50-OR-CNN	MAE	2.83	—	Unverified
3	ResNet-50-Regression	MAE	2.83	—	Unverified
4	ResNet-50-Mean-Variance	MAE	2.83	—	Unverified
5	ResNet-50-DLDL-v2	MAE	2.82	—	Unverified
6	ResNet-50-Cross-Entropy	MAE	2.81	—	Unverified
7	ResNet-50-SORD	MAE	2.81	—	Unverified
8	ResNet-50-DLDL	MAE	2.81	—	Unverified
9	ResNet-50-Unimodal-Concentrated	MAE	2.78	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AEBFI	MAE	52	—	Unverified
2	Zhu et al. (Actual)	MAE	4.58	—	Unverified
3	DRFs	MAE	3.85	—	Unverified
4	CMAAE-OR	MAE	3.62	—	Unverified
5	DEX	MAE	3.09	—	Unverified
6	C3AE (WIKI-IMDB)	MAE	2.95	—	Unverified
7	BridgeNet	MAE	2.56	—	Unverified
8	MWR	MAE	2.23	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CORAL	MAE	2.59	—	Unverified
2	Hierarchical Attention-based Age Estimation (SE)	MAE	2.53	—	Unverified
3	MegaAge (w. IMDB-WIKI)	MAE	2.52	—	Unverified
4	DLDL+VGG-Face (KL, Max)3	MAE	2.42	—	Unverified
5	MWR	MAE	2	—	Unverified
6	DLDL-v2 (ThinAgeNet)	MAE	1.97	—	Unverified
7	MataAge	MAE	1.81	—	Unverified
8	Hierarchical Attention-based Age Estimation (RS)	MAE	1.13	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MWR	MAE	2.95	—	Unverified
2	DLDL+VGG-Face	e-error	0.31	—	Unverified
3	DLDL-v2 (ThinAgeNet)	e-error	0.27	—	Unverified
4	AgeNet	e-error	0.27	—	Unverified
5	DEX	e-error	0.26	—	Unverified
6	BridgeNet	e-error	0.26	—	Unverified
7	MetaAge	e-error	0.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OrdinalCLIP	Accuracy	61.2	—	Unverified
2	POE	Accuracy	60.5	—	Unverified
3	SORD	Accuracy	59.6	—	Unverified
4	GP-DNNOR	Accuracy	57.4	—	Unverified
5	CNNPOR	Accuracy	57.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FaRL+MLP	MAE	3.38	—	Unverified
2	Mean-Variance	e-error	0.29	—	Unverified
3	DLDL-v2 (ThinAgeNet)	e-error	0.27	—	Unverified
4	MetaAge	e-error	0.27	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FP-Age	Average mean absolute error	4.68	—	Unverified
2	VOLO-D1 age&gender	Average mean absolute error	4.22	—	Unverified
3	MiVOLO-D1	Average mean absolute error	4.09	—	Unverified
4	MiVOLO-V2	Average mean absolute error	3.97	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MiVOLO-D1	MAE	3.99	—	Unverified
2	MiVOLO-V2	MAE	3.65	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FP-Age	Average mean absolute error	6.81	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CMAAE-OR	MAE	1.48	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Inception Time	Mean absolute error	8.3	—	Unverified