基于事件的眼动追踪。AIS 2024 挑战综述
计算机视觉与模式识别
2024-04-19 v1 人工智能
摘要
本综述 reviews AIS 2024 基于事件的眼动追踪（Event-Based Eye Tracking, EET）挑战。挑战的任务focus于处理借助事件相机记录的眼动数据，并预测眼睛的瞳孔中心。挑战强调利用事件相机实现高效眼动追踪，以在任务准确性和效率之间取得良好平衡。在挑战期间，38个参赛者注册了Kaggle竞赛，8支队伍提交了挑战事实表。本综述综述和分析所提交事实表中的新颖且多样化的方法，以推动未来的基于事件的眼动追踪研究。
引用
@article{arxiv.2404.11770,
title = {Event-Based Eye Tracking. AIS 2024 Challenge Survey},
author = {Zuowen Wang and Chang Gao and Zongwei Wu and Marcos V. Conde and Radu Timofte and Shih-Chii Liu and Qinyu Chen and Zheng-jun Zha and Wei Zhai and Han Han and Bohao Liao and Yuliang Wu and Zengyu Wan and Zhong Wang and Yang Cao and Ganchao Tan and Jinze Chen and Yan Ru Pei and Sasskia Brüers and Sébastien Crouzet and Douglas McLelland and Oliver Coenen and Baoheng Zhang and Yizhao Gao and Jingyuan Li and Hayden Kwok-Hay So and Philippe Bich and Chiara Boretti and Luciano Prono and Mircea Lică and David Dinucu-Jianu and Cătălin Grîu and Xiaopeng Lin and Hongwei Ren and Bojun Cheng and Xinan Zhang and Valentin Vial and Anthony Yezzi and James Tsai},
journal= {arXiv preprint arXiv:2404.11770},
year = {2024}
}
备注
Qinyu Chen is the corresponding author