Age and Gender Estimation
5 papers with code • 2 benchmarks • 2 datasets
Age and gender estimation is a dual-task of identifying the age via regression analysis and classification of gender of a person.
Most implemented papers
Age and Gender Classification using Convolutional Neural Networks
Automatic age and gender classification has become relevant to an increasing amount of applications, particularly since the rise of social platforms and social media.
FaceXFormer: A Unified Transformer for Facial Analysis
In this work, we introduce FaceXFormer, an end-to-end unified transformer model capable of performing nine facial analysis tasks including face parsing, landmark detection, head pose estimation, attribute prediction, and estimation of age, gender, race, expression, and face visibility within a single framework.
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.
BN-AuthProf: Benchmarking Machine Learning for Bangla Author Profiling on Social Media Texts
This paper focuses on author profiling in the Bangla language, aiming to extract valuable insights about anonymous authors based on their writing style on social media.