EllSeg-Gen, towards Domain Generalization for head-mounted eyetracking. (arXiv:2205.01947v1 [cs.CV])

The study of human gaze behavior in natural contexts requires algorithms for
gaze estimation that are robust to a wide range of imaging conditions. However,
algorithms often fail to identify features such as the iris and pupil centroid
in the presence of reflective artifacts and occlusions. Previous work has shown
that convolutional networks excel at extracting gaze features despite the
presence of such artifacts. However, these networks often perform poorly on
data unseen during training. This work follows the intuition …

arxiv cv gen head