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

Beihang University · Peng Cheng Laboratory

PubMed
Indexed incrossrefpubmed

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 a systematic review of the appearance-based gaze estimation methods using deep learning. First, we survey the existing gaze estimation algorithms along the typical gaze estimation pipeline: deep…

Citation impact

125
total citations
FWCI
37.09
Percentile
100%
References
194
Citations per year

Authors

4

Topics & keywords

Keywords
  • Artificial intelligence
  • Gaze
  • Computer science
  • Benchmark (surveying)
  • Deep learning
  • Computer vision
  • Machine learning
  • Estimation
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