Age Classification
6 papers with code • 1 benchmarks • 1 datasets
EMOTIC
Most implemented papers
Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks
glanceable-io/ordinal-log-loss
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In this work, we propose to leverage these relationships between classes by training deep nets with the exact squared Earth Mover's Distance (also known as Wasserstein distance) for single-label classification.
Automatic Classification of Students on Twitter Using Simple Profile Information
Obtaining social media demographic information using machine learning is important for efficient computational social science research.
PML: Progressive Margin Loss for Long-tailed Age Classification
SanyeungWang/PML
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CVPR 2021
In this paper, we propose a progressive margin loss (PML) approach for unconstrained facial age classification.
Data Augmentation Through Monte Carlo Arithmetic Leads to More Generalizable Classification in Connectomics
The variability in the perturbed networks was captured in an augmented dataset, which was then used for an age classification task.
Infant Brain Age Classification: 2D CNN Outperforms 3D CNN in Small Dataset
Determining if the brain is developing normally is a key component of pediatric neuroradiology and neurology.
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.
