Appearance-Based Gaze Estimation With Deep Learning: A Review and Benchmark
Beihang University · Peng Cheng Laboratory
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
- FWCI
- 37.09
- Percentile
- 100%
- References
- 194
Authors
4Topics & keywords
- Artificial intelligence
- Gaze
- Computer science
- Benchmark (surveying)
- Deep learning
- Computer vision
- Machine learning
- Estimation