Channel Selection for Faster Deep Learning-based Gaze Estimation in the Frequency Domain: A frequency domain approach to reducing latency in deep learning gaze estimation

Gaze estimation is an important area of research used in a wide range of applications. However, existing models trained for gaze estimation often suffer from high computational costs. In this study, frequency domain channel selection techniques were explored to decrease these costs by reducing the size of the input data. The main research...