EM-Gaze: eye context correlation and metric learning for gaze estimation
Abstract In recent years, deep learning techniques have been used to estimate gaze—a significant task in computer vision and human-computer interaction. Previous studies have made significant achievements in predicting 2D or 3D gazes from monocular face images. This study presents a deep neural netw...
Main Authors: | Jinchao Zhou, Guoan Li, Feng Shi, Xiaoyan Guo, Pengfei Wan, Miao Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2023-05-01
|
Series: | Visual Computing for Industry, Biomedicine, and Art |
Subjects: | |
Online Access: | https://doi.org/10.1186/s42492-023-00135-6 |
Similar Items
-
Gaze Estimation via Strip Pooling and Multi-Criss-Cross Attention Networks
by: Chao Yan, et al.
Published: (2023-05-01) -
Customer Gaze Estimation in Retail Using Deep Learning
by: Shashimal Senarath, et al.
Published: (2022-01-01) -
When I Look into Your Eyes: A Survey on Computer Vision Contributions for Human Gaze Estimation and Tracking
by: Dario Cazzato, et al.
Published: (2020-07-01) -
Gaze Cuing Effects in Peripheral Vision
by: Takemasa Yokoyama, et al.
Published: (2019-04-01) -
Person-Specific Gaze Estimation from Low-Quality Webcam Images
by: Mohd Faizan Ansari, et al.
Published: (2023-04-01)