Real-time Appearance-based Gaze Estimation for Open Domains
The framework improves appearance-based gaze estimation by expanding image diversity through automated augmentation and reformulating it as a multi-task learning problem. It uses auxiliary objectives like discretized label classification and contrastive learning to regularize features, leading to better generalization across different datasets without needing extra human annotations.