Search Results for author:
Found 1 papers, 0 papers with code
Appearance Debiased Gaze Estimation via Stochastic Subject-Wise Adversarial Learning
In this paper, we address these challenges and propose a novel framework: Stochastic subject-wise Adversarial gaZE learning (SAZE), which trains a network to generalize the appearance of subjects.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
