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 226–250 of 254 papers

Title	Date	Tasks	Status
Face Aging With Conditional Generative Adversarial Networks	Feb 7, 2017	Age EstimationFace Recognition	CodeCode Available
Multi-Task Faces (MTF) Data Set: A Legally and Ethically Compliant Collection of Face Images for Various Classification Tasks	Nov 20, 2023	Age ClassificationAge Estimation	CodeCode Available
Quantifying Facial Age by Posterior of Age Comparisons	Aug 31, 2017	Age And Gender ClassificationAge Estimation	CodeCode Available
Brain Age Estimation with a Greedy Dual-Stream Model for Limited Datasets	Jul 5, 2024	Age EstimationMedical Image Analysis	CodeCode Available
A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression	Sep 26, 2023	Age EstimationGraph Attention	CodeCode Available
Does pre-training on brain-related tasks results in better deep-learning-based brain age biomarkers?	Jul 11, 2023	Age EstimationDeep Learning	CodeCode Available
Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation on Brain MRI	Aug 3, 2021	Age EstimationGenerative Adversarial Network	CodeCode Available
Using deep convolutional neural networks to predict patients age based on ECGs from an independent test cohort	Oct 6, 2022	Age EstimationRhythm	CodeCode Available
Improved Brain Age Estimation with Slice-based Set Networks	Feb 8, 2021	Age Estimation	CodeCode Available
using multiple losses for accurate facial age estimation	Jun 17, 2021	Age EstimationClassification	CodeCode Available
On the effect of age perception biases for real age regression	Feb 20, 2019	Age Estimationregression	CodeCode Available
C3AE: Exploring the Limits of Compact Model for Age Estimation	Apr 10, 2019	Age Estimation	CodeCode Available
Building Age Estimation: A New Multi-Modal Benchmark Dataset and Community Challenge	Feb 19, 2025	Age EstimationEarth Observation	CodeCode Available
iTARGET: Interpretable Tailored Age Regression for Grouped Epigenetic Traits	Jan 4, 2025	Age Estimationregression	CodeCode Available
Brain age prediction using deep learning uncovers associated sequence variants	Nov 27, 2019	Age EstimationDeep Learning	CodeCode Available
Brain Age Estimation Using Structural MRI: A Clustered Federated Learning Approach	Jul 27, 2023	Age EstimationFederated Learning	CodeCode Available
A comparison study: the impact of age and gender distribution on age estimation	Jan 10, 2022	Age Estimation	CodeCode Available
Joint Person Identity, Gender and Age Estimation from Hand Images using Deep Multi-Task Representation Learning	Mar 27, 2023	Age EstimationRepresentation Learning	CodeCode Available
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression	Aug 17, 2023	Age EstimationDepth Aleatoric Uncertainty Estimation	CodeCode Available
Robust Optimization for Deep Regression	May 25, 2015	Age Estimationobject-detection	CodeCode Available
Age-Net: An MRI-Based Iterative Framework for Brain Biological Age Estimation	Sep 22, 2020	Age Estimation	CodeCode Available
OTFPF: Optimal Transport-Based Feature Pyramid Fusion Network for Brain Age Estimation with 3D Overlapped ConvNeXt	May 10, 2022	Age Estimation	CodeCode Available
Discrete-Constrained Regression for Local Counting Models	Jul 20, 2022	Age EstimationClassification	CodeCode Available
Adversarial Regression Learning for Bone Age Estimation	Mar 10, 2021	Age Estimationregression	CodeCode Available
Determining the Age Range Based on Machine-Learning Methods From Facial Skeletal Angles (Glabella and Maxilla Angle and Length and Width of Piriformis) in CT Scan	Nov 30, 2022	Age Estimation	CodeCode Available

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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