12 papers with code • 1 benchmarks • 2 datasets
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
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)
Electrocardiography is a very common, non-invasive diagnostic procedure and its interpretation is increasingly supported by automatic interpretation algorithms.
Mobile phone metadata is increasingly used for humanitarian purposes in developing countries as traditional data is scarce.
In this work, we present our approach for the Author Profiling task of PAN 2019.
Author profiling is the characterization of an author through some key attributes such as gender, age, and language.