2021
Cross-Encoder for Unsupervised Gaze Representation Learning
ICCV 2021poster
In order to train 3D gaze estimators without too many annotations, we propose an unsupervised learning framework, Cross-Encoder, to leverage the unlabeled data to learn suitable representation for gaze estimation. To address the issue that the feature of gaze is always intertwined with the appearanc…