Appearance-based Gaze Estimation With Deep Learning: A Review and Benchmark

arXiv:2104.12668v2 Announce Type: replace
Abstract: Human gaze provides valuable information on human focus and intentions, making it a crucial area of research. Recently, deep learning has revolutionized appearance-based gaze estimation. However, due to the unique features of gaze estimation research, such as the unfair comparison between 2D gaze positions and 3D gaze vectors and the different pre-processing and post-processing methods, there is a lack of a definitive guideline for developing deep learning-based gaze estimation algorithms. In this paper, we present …

arxiv benchmark cs.cv deep learning review type