Age And Gender Classification
15 papers with code • 2 benchmarks • 5 datasets
Age and gender classification is a dual-task of identifying the age and gender of a person from an image or video.
( Image credit: Multi-Expert Gender Classification on Age Group by Integrating Deep Neural Networks )
Benchmarks
These leaderboards are used to track progress in Age And Gender Classification
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Adience
CI-MNIST
IMDB-Clean
LAGENDA
Age and Gender
Most implemented papers
Generalizing MLPs With Dropouts, Batch Normalization, and Skip Connections
A multilayer perceptron (MLP) is typically made of multiple fully connected layers with nonlinear activation functions.
Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling
The characterisation of the brain as a functional network in which the connections between brain regions are represented by correlation values across time series has been very popular in the last years.
Moving Window Regression: A Novel Approach to Ordinal Regression
A novel ordinal regression algorithm, called moving window regression (MWR), is proposed in this paper.
MiVOLO: Multi-input Transformer for Age and Gender Estimation
Age and gender recognition in the wild is a highly challenging task: apart from the variability of conditions, pose complexities, and varying image quality, there are cases where the face is partially or completely occluded.
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.
