Age Estimation
71 papers with code • 16 benchmarks • 19 datasets
Age Estimation is the task of estimating the age of a person from an image some other kind of data.
( Image credit: BridgeNet )
Benchmarks
These leaderboards are used to track progress in Age Estimation
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Libraries
Use these libraries to find Age Estimation models and implementations
UTKFace
MORPH
Adience
CACD
FG-NET
AADB
AgeDB
MegaAge
Latest papers
FaceXFormer: A Unified Transformer for Facial Analysis
Unlike these conventional methods, our FaceXformer leverages a transformer-based encoder-decoder architecture where each task is treated as a learnable token, enabling the integration of multiple tasks within a single framework.
Faceptor: A Generalist Model for Face Perception
This design enhances the unification of model structure while improving application efficiency in terms of storage overhead.
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation
Furthermore, we attempted various ways to fine-tune the ShareGPT4V model for this specific task, aiming to achieve state-of-the-art results in this particular challenge.
Multi-Task Faces (MTF) Data Set: A Legally and Ethically Compliant Collection of Face Images for Various Classification Tasks
To address these issues, we present the Multi-Task Faces (MTF) image data set, a meticulously curated collection of face images designed for various classification tasks, including face recognition, as well as race, gender, and age classification.
Towards Machine Unlearning Benchmarks: Forgetting the Personal Identities in Facial Recognition Systems
Recently, various studies have presented machine unlearning algorithms and evaluated their methods on several datasets.
Ordinal Classification with Distance Regularization for Robust Brain Age Prediction
jaygshah/Robust-Brain-Age-Prediction
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IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2023
However, these methods are subject to an inherent regression to the mean effect, which causes a systematic bias resulting in an overestimation of brain age in young subjects and underestimation in old subjects.
A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression
bintsi/brain-age-population-graphs
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We conclude that static graph construction approaches are potentially insufficient for the task of brain age estimation and make recommendations for alternative research directions.
SwinFace: A Multi-task Transformer for Face Recognition, Expression Recognition, Age Estimation and Attribute Estimation
lxq1000/swinface
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To address the conflicts among multiple tasks and meet the different demands of tasks, a Multi-Level Channel Attention (MLCA) module is integrated into each task-specific analysis subnet, which can adaptively select the features from optimal levels and channels to perform the desired tasks.
A step towards understanding why classification helps regression
silvialaurapintea/reg-cls
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ICCV 2023
A number of computer vision deep regression approaches report improved results when adding a classification loss to the regression loss.
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression
ensta-u2is/dido
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In this work, we propose a generalized AuxUE scheme for more robust uncertainty quantification on regression tasks.
