Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency

Understand

This paper addresses the challenging problem of estimating the general visual attention of people in images.

• Our proposed method is designed to work across multiple naturalistic social scenarios and provides a full picture of the subject's attention and gaze.
• In contrast, earlier works on gaze and attention estimation have focused on constrained problems in more specific contexts.
• In particular, our model explicitly represents the gaze direction and handles out-of-frame gaze targets.