Age and Gender Estimation
4 papers with code • 2 benchmarks • 1 datasets
Age and gender estimation is a dual-task of identifying the age via regression analysis and classification of gender of a person.
Benchmarks
These leaderboards are used to track progress in Age and Gender Estimation
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LAGENDA
Most implemented papers
Age and Gender Classification using Convolutional Neural Networks
dpressel/rude-carnie
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2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2015
Automatic age and gender classification has become relevant to an increasing amount of applications, particularly since the rise of social platforms and social media.
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.
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.
