SOTAVerified

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

Showing 1–50 of 254 papers

TitleStatusHype
DiffClean: Diffusion-based Makeup Removal for Accurate Age Estimation—0
Data-Driven Meta-Analysis and Public-Dataset Evaluation for Sensor-Based Gait Age Estimation—0
Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound ImagesCode0
AGE-US: automated gestational age estimation based on fetal ultrasound images—0
Foundation Artificial Intelligence Models for Health Recognition Using Face Photographs (FAHR-Face)—0
Overcoming Occlusions in the Wild: A Multi-Task Age Head Approach to Age Estimation—0
Underage Detection through a Multi-Task and MultiAge Approach for Screening Minors in Unconstrained Imagery—0
A Manually Annotated Image-Caption Dataset for Detecting Children in the WildCode0
OcularAge: A Comparative Study of Iris and Periocular Images for Pediatric Age Estimation—0
Face-LLaVA: Facial Expression and Attribute Understanding through Instruction Tuning—0
Landmarks Are Alike Yet Distinct: Harnessing Similarity and Individuality for One-Shot Medical Landmark Detection—0
A Survey on Ordinal Regression: Applications, Advances and Prospects—0
FetalCLIP: A Visual-Language Foundation Model for Fetal Ultrasound Image AnalysisCode2
Building Age Estimation: A New Multi-Modal Benchmark Dataset and Community ChallengeCode0
Relative Age Estimation Using Face Images—0
Tessellated Linear Model for Age Prediction from Voice—0
AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks—0
iTARGET: Interpretable Tailored Age Regression for Grouped Epigenetic TraitsCode0
From Age Estimation to Age-Invariant Face Recognition: Generalized Age Feature Extraction Using Order-Enhanced Contrastive Learning—0
Brain Ageing Prediction using Isolation Forest Technique and Residual Neural Network (ResNet)—0
GroupFace: Imbalanced Age Estimation Based on Multi-hop Attention Graph Convolutional Network and Group-aware Margin Optimization—0
Ranking-aware adapter for text-driven image ordering with CLIPCode1
Biological Brain Age Estimation using Sex-Aware Adversarial Variational Autoencoder with Multimodal Neuroimages—0
Enhancing Brain Age Estimation with a Multimodal 3D CNN Approach Combining Structural MRI and AI-Synthesized Cerebral Blood Volume Data—0
Human Age and Gender Prediction Management system project report—0
Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal NeuroimagingCode0
An Explainable Machine Learning Approach for Age and Gender Estimation in Living Individuals Using Dental Biometrics—0
AGE2HIE: Transfer Learning from Brain Age to Predicting Neurocognitive Outcome for Infant Brain Injury—0
Brain age identification from diffusion MRI synergistically predicts neurodegenerative diseaseCode0
Multi-View Multi-Task Modeling with Speech Foundation Models for Speech Forensic Tasks—0
Game Theory Meets Statistical Mechanics in Deep Learning Design—0
MedImageInsight: An Open-Source Embedding Model for General Domain Medical ImagingCode0
JAM: A Comprehensive Model for Age Estimation, Verification, and Comparability—0
A Multi-view Mask Contrastive Learning Graph Convolutional Neural Network for Age Estimation—0
Harmonizing Flows: Leveraging normalizing flows for unsupervised and source-free MRI harmonizationCode1
MRI Volume-Based Robust Brain Age Estimation Using Weight-Shared Spatial Attention in 3D CNNs—0
Brain Age Estimation with a Greedy Dual-Stream Model for Limited DatasetsCode0
Zero-failure testing of binary classifiers—0
PERSONA: An Application for Emotion Recognition, Gender Recognition and Age Estimation—0
SynthBA: Reliable Brain Age Estimation Across Multiple MRI Sequences and ResolutionsCode1
Hand bone age estimation using divide and conquer strategy and lightweight convolutional neural networks—0
Task-adaptive Q-Face—0
TIMIT Speaker Profiling: A Comparison of Multi-task learning and Single-task learning Approaches—0
FaceFilterSense: A Filter-Resistant Face Recognition and Facial Attribute Analysis Framework—0
FaceXFormer: A Unified Transformer for Facial AnalysisCode3
Faceptor: A Generalist Model for Face PerceptionCode2
ChatGPT and biometrics: an assessment of face recognition, gender detection, and age estimation capabilities—0
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender EstimationCode3
Dual Graph Attention based Disentanglement Multiple Instance Learning for Brain Age Estimation—0
Comparing Pre-trained Human Language Models: Is it Better with Human Context as Groups, Individual Traits, or Both?—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CORALMAE5.39—Unverified
2ResNet-50-RegressionMAE4.72—Unverified
3Randomized BinsMAE4.55—Unverified
4ResNet-50-Unimodal-ConcentratedMAE4.47—Unverified
5ResNet-50-DLDL-v2MAE4.42—Unverified
6ResNet-50-Mean-VarianceMAE4.42—Unverified
7ResNet-50-OR-CNNMAE4.4—Unverified
8ResNet-50-DLDLMAE4.39—Unverified
9ResNet-50-Cross-EntropyMAE4.38—Unverified
10MWRMAE4.37—Unverified
#ModelMetricClaimedVerifiedStatus
1CORALMAE5.35—Unverified
2RNDFMAE4.6—Unverified
3MWRMAE4.41—Unverified
4ResNet-50-Unimodal-ConcentratedMAE4.1—Unverified
5ResNet-50-Mean-VarianceMAE4.07—Unverified
6ResNet-50-RegressionMAE4.06—Unverified
7ResNet-50-OR-CNNMAE4.01—Unverified
8ResNet-50-DLDL-v2MAE3.96—Unverified
9FaRL+MLPMAE3.96—Unverified
10ResNet-50-SORDMAE3.96—Unverified
#ModelMetricClaimedVerifiedStatus
1dLDLFMAE3.02—Unverified
2DRFsMAE2.91—Unverified
3DEXMAE2.68—Unverified
4OLMAE2.41—Unverified
5BridgeNetMAE2.38—Unverified
6AVDLMAE2.37—Unverified
7POEMAE2.35—Unverified
8OrdinalCLIPMAE2.32—Unverified
9DRC-ORIDMAE2.26—Unverified
10MetaAgeMAE2.23—Unverified
#ModelMetricClaimedVerifiedStatus
1CORALMAE3.48—Unverified
2ResNet-50-Unimodal-ConcentratedMAE3.2—Unverified
3ResNet-50-RegressionMAE3.17—Unverified
4ResNet-50-OR-CNNMAE3.16—Unverified
5ResNet-50-Mean-VarianceMAE3.16—Unverified
6ResNet-50-DLDL-v2MAE3.15—Unverified
7ResNet-50-Cross-EntropyMAE3.14—Unverified
8ResNet-50-SORDMAE3.14—Unverified
9ResNet-50-DLDLMAE3.14—Unverified
10FaRL+MLPMAE3.12—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet-50-RegressionMAE6.23—Unverified
2ResNet-50-Unimodal-ConcentratedMAE5.9—Unverified
3ResNet-50-Mean-VarianceMAE5.85—Unverified
4ResNet-50-Cross-EntropyMAE5.81—Unverified
5ResNet-50-SORDMAE5.81—Unverified
6ResNet-50-DLDLMAE5.8—Unverified
7ResNet-50-DLDL-v2MAE5.8—Unverified
8ResNet-50-OR-CNNMAE5.78—Unverified
9FaRL+MLPMAE5.64—Unverified
10MiVOLO-D1MAE5.55—Unverified
#ModelMetricClaimedVerifiedStatus
1FaRL+MLPMAE3.04—Unverified
2ResNet-50-OR-CNNMAE2.83—Unverified
3ResNet-50-RegressionMAE2.83—Unverified
4ResNet-50-Mean-VarianceMAE2.83—Unverified
5ResNet-50-DLDL-v2MAE2.82—Unverified
6ResNet-50-Cross-EntropyMAE2.81—Unverified
7ResNet-50-SORDMAE2.81—Unverified
8ResNet-50-DLDLMAE2.81—Unverified
9ResNet-50-Unimodal-ConcentratedMAE2.78—Unverified
#ModelMetricClaimedVerifiedStatus
1AEBFIMAE52—Unverified
2Zhu et al. (Actual)MAE4.58—Unverified
3DRFsMAE3.85—Unverified
4CMAAE-ORMAE3.62—Unverified
5DEXMAE3.09—Unverified
6C3AE (WIKI-IMDB)MAE2.95—Unverified
7BridgeNetMAE2.56—Unverified
8MWRMAE2.23—Unverified
#ModelMetricClaimedVerifiedStatus
1CORALMAE2.59—Unverified
2Hierarchical Attention-based Age Estimation (SE)MAE2.53—Unverified
3MegaAge (w. IMDB-WIKI)MAE2.52—Unverified
4DLDL+VGG-Face (KL, Max)3MAE2.42—Unverified
5MWRMAE2—Unverified
6DLDL-v2 (ThinAgeNet)MAE1.97—Unverified
7MataAgeMAE1.81—Unverified
8Hierarchical Attention-based Age Estimation (RS)MAE1.13—Unverified
#ModelMetricClaimedVerifiedStatus
1MWRMAE2.95—Unverified
2DLDL+VGG-Facee-error0.31—Unverified
3DLDL-v2 (ThinAgeNet)e-error0.27—Unverified
4AgeNete-error0.27—Unverified
5DEXe-error0.26—Unverified
6BridgeNete-error0.26—Unverified
7MetaAgee-error0.25—Unverified
#ModelMetricClaimedVerifiedStatus
1OrdinalCLIPAccuracy61.2—Unverified
2POEAccuracy60.5—Unverified
3SORDAccuracy59.6—Unverified
4GP-DNNORAccuracy57.4—Unverified
5CNNPORAccuracy57.4—Unverified
#ModelMetricClaimedVerifiedStatus
1FaRL+MLPMAE3.38—Unverified
2Mean-Variancee-error0.29—Unverified
3DLDL-v2 (ThinAgeNet)e-error0.27—Unverified
4MetaAgee-error0.27—Unverified
#ModelMetricClaimedVerifiedStatus
1FP-AgeAverage mean absolute error4.68—Unverified
2VOLO-D1 age&genderAverage mean absolute error4.22—Unverified
3MiVOLO-D1Average mean absolute error4.09—Unverified
4MiVOLO-V2Average mean absolute error3.97—Unverified
#ModelMetricClaimedVerifiedStatus
1MiVOLO-D1MAE3.99—Unverified
2MiVOLO-V2MAE3.65—Unverified
#ModelMetricClaimedVerifiedStatus
1FP-AgeAverage mean absolute error6.81—Unverified
#ModelMetricClaimedVerifiedStatus
1CMAAE-ORMAE1.48—Unverified
#ModelMetricClaimedVerifiedStatus
1Inception TimeMean absolute error8.3—Unverified