3 papers
cs.CV2020
A Method for Curation of Web-Scraped Face Image Datasets
Kai Zhang, Vítor Albiero, Kevin W. Bowyer
Web-scraped, in-the-wild datasets have become the norm in face recognition research. The numbers of subjects and images acquired in web-scraped datasets are usually very large, wit…
cs.CV2020
How Does Gender Balance In Training Data Affect Face Recognition Accuracy?
Vítor Albiero, Kai Zhang, Kevin W. Bowyer
Deep learning methods have greatly increased the accuracy of face recognition, but an old problem still persists: accuracy is usually higher for men than women. It is often specula…
cs.CV2020
Analysis of Gender Inequality In Face Recognition Accuracy
Vítor Albiero, Krishnapriya K. S., Kushal Vangara +3
We present a comprehensive analysis of how and why face recognition accuracy differs between men and women. We show that accuracy is lower for women due to the combination of (1) t…