EG-Net: Appearance-based eye gaze estimation using an efficient gaze network with attention mechanism

Author:

Wu XinmeiORCID,Li LinORCID,Zhu Haihong,Zhou Gang,Li Linfeng,Su FeiORCID,He Shen,Wang Yanggang,Long Xue

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference69 articles.

1. Abdelrahman, A. A., Hempel, T., Khalifa, A., & Al-Hamadi, A. (2022). L2CS-Net: Fine-Grained Gaze Estimation in Unconstrained Environments. Paper presented at the IEEE International Conference on Image Processing (ICIP) 2022from https://doi.org/10.48550/arXiv.2203.03339.

2. Deep fusion for 3D gaze estimation from natural face images using multi-stream CNNs;Ali;IEEE Access,2020

3. Visual focus of attention in non-calibrated environments using gaze estimation;Asteriadis;International Journal of Computer Vision,2014

4. Baluja, S., & Pomerleau, D. (1994). Non-Intrusive Gaze Tracking Using Artificial Neural Networks. Paper presented at the Proceedings of the 6th International Conference on Neural Information Processing Systems, San Francisco, CA, USAfrom https://dl.acm.org/doi/abs/10.5555/2987189.2987284.

5. Bao, Y., Cheng, Y., Liu, Y., & Lu, F. (2020). Adaptive Feature Fusion Network for Gaze Tracking in Mobile Tablets. Paper presented at the 2020 25th International Conference on Pattern Recognition (ICPR), Milan, Italyfrom https://ieeexplore.ieee.org/document/9412205.

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