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 101–125 of 254 papers

Title	Date	Tasks	Status
Does pre-training on brain-related tasks results in better deep-learning-based brain age biomarkers?	Jul 11, 2023	Age EstimationDeep Learning	CodeCode Available
Concurrent ischemic lesion age estimation and segmentation of CT brain using a Transformer-based network	Jun 21, 2023	Age EstimationComputed Tomography (CT)	—Unverified
Robust Brain Age Estimation via Regression Models and MRI-derived Features	Jun 8, 2023	Age Estimationregression	—Unverified
SFCNeXt: a simple fully convolutional network for effective brain age estimation with small sample size	May 30, 2023	Age Estimation	—Unverified
TAA-GCN: A Temporally Aware Adaptive Graph Convolutional Network for Age Estimation	May 15, 2023	Age Estimation	CodeCode Available
Noise-Tolerance GPU-based Age Estimation Using ResNet-50	Apr 26, 2023	Age EstimationGPU	—Unverified
Brain Structure Ages -- A new biomarker for multi-disease classification	Apr 13, 2023	Age EstimationAnatomy	—Unverified
Lipschitzness Effect of a Loss Function on Generalization Performance of Deep Neural Networks Trained by Adam and AdamW Optimizers	Mar 29, 2023	Age Estimation	—Unverified
Joint Person Identity, Gender and Age Estimation from Hand Images using Deep Multi-Task Representation Learning	Mar 27, 2023	Age EstimationRepresentation Learning	CodeCode Available
Siamese Graph Learning for Semi-supervised Age Estimation	Mar 13, 2023	Age EstimationDiversity	CodeCode Available
FUSQA: Fetal Ultrasound Segmentation Quality Assessment	Mar 8, 2023	Age EstimationSegmentation	—Unverified
Development of deep biological ages aware of morbidity and mortality based on unsupervised and semi-supervised deep learning approaches	Feb 1, 2023	Age EstimationDeep Learning	—Unverified
Ordinal Label Distribution Learning	Jan 1, 2023	Age Estimation	—Unverified
Deep Learning for Brain Age Estimation: A Systematic Review	Dec 7, 2022	Age EstimationDeep Learning	—Unverified
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
SVLDL: Improved Speaker Age Estimation Using Selective Variance Label Distribution Learning	Oct 18, 2022	Age Estimation	—Unverified
Using deep convolutional neural networks to predict patients age based on ECGs from an independent test cohort	Oct 6, 2022	Age EstimationRhythm	CodeCode Available
Full Kullback-Leibler-Divergence Loss for Hyperparameter-free Label Distribution Learning	Sep 5, 2022	Age Estimationregression	—Unverified
Forensic Dental Age Estimation Using Modified Deep Learning Neural Network	Aug 21, 2022	Age EstimationDeep Learning	—Unverified
Discrete-Constrained Regression for Local Counting Models	Jul 20, 2022	Age EstimationClassification	CodeCode Available
On Merging Feature Engineering and Deep Learning for Diagnosis, Risk-Prediction and Age Estimation Based on the 12-Lead ECG	Jul 13, 2022	Age EstimationBIG-bench Machine Learning	—Unverified
MetaAge: Meta-Learning Personalized Age Estimators	Jul 12, 2022	Age EstimationMeta-Learning	CodeCode Available
Assessing the Performance of Automated Prediction and Ranking of Patient Age from Chest X-rays Against Clinicians	Jul 4, 2022	Age EstimationGenerative Adversarial Network	—Unverified
A Demographic Attribute Guided Approach to Age Estimation	May 20, 2022	Age EstimationAttribute	—Unverified
OTFPF: Optimal Transport-Based Feature Pyramid Fusion Network for Brain Age Estimation with 3D Overlapped ConvNeXt	May 10, 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