Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking Systems

arXiv:2403.15947v1 Announce Type: new
Abstract: Eye image segmentation is a critical step in eye tracking that has great influence over the final gaze estimate. Segmentation models trained using supervised machine learning can excel at this task, their effectiveness is determined by the degree of overlap between the narrow distributions of image properties defined by the target dataset and highly specific training datasets, of which there are few. Attempts to broaden the distribution of existing eye image datasets through the inclusion …

abstract arxiv cs.cv domain domain adaptation excel image improving influence machine machine learning narrow segmentation supervised machine learning systems tracking type