Using Augmented Face Images to Improve Facial Recognition Tasks

Abstract

We present a framework that uses GAN-augmented images to complement certain specific attributes, usually underrepresented, for machine learning model training. This allows us to improve inference quality over those attributes for the facial recognition tasks.

CHI 2022 Workshop: AI-Generated Characters: Putting Deepfakes to Good Use