7 papers with code • 2 benchmarks • 1 datasets
Age and gender classification is a dual-task of identifying the age and gender of a person from an image or video.
Automatic age and gender classification has become relevant to an increasing amount of applications, particularly since the rise of social platforms and social media.
Ranked #3 on Age And Gender Classification on Adience Gender
In many real-world prediction tasks, class labels include information about the relative ordering between labels, which is not captured by commonly-used loss functions such as multi-category cross-entropy.
Ranked #1 on Age Estimation on AFAD
First, it can avoid forgetting (i. e., learn new tasks while remembering all previous tasks).
Ranked #1 on Age And Gender Classification on Adience Gender (using extra training data)
Simultaneously running multiple modules is a key requirement for a smart multimedia system for facial applications including face recognition, facial expression understanding, and gender identification.
Ranked #1 on Gender Prediction on FotW Gender (using extra training data)
Automatic age and gender classification based on unconstrained images has become essential techniques on mobile devices.
Ranked #5 on Age And Gender Classification on Adience Age