Dynamic adaptive threshold based learning for noisy annotations robust facial expression recognition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17510-3.pdf
Reference63 articles.
1. Liu Z, Peng Y, Hu W (2020) Driver fatigue detection based on deeply-learned facial expression representation. J Vis Commun Image Represent 71:102723
2. Bisogni C, Castiglione A, Hossain S, Narducci F, Umer S (2022) Impact of deep learning approaches on facial expression recognition in healthcare industries. IEEE Trans Ind Inform 18(8):5619–5627. https://doi.org/10.1109/TII.2022.3141400
3. Maqableh W, Alzyoud FY, Zraqou J (2023) The use of facial expressions in measuring students’ interaction with distance learning environments during the covid-19 crisis. Vis Inform 7(1):1–17
4. Yan L, Sheng M, Wang C, Gao R, Yu H (2022) Hybrid neural networks based facial expression recognition for smart city. Multimed Tools Appl 1–24
5. Abate AF, Bisogni C, Cascone L, Castiglione A, Costabile G, Mercuri I (2020) Social robot interactions for social engineering: opportunities and open issues. In: 2020 IEEE intl conf on dependable, autonomic and secure computing, intl conf on pervasive intelligence and computing, intl conf on cloud and big data computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), pp. 539–547. https://doi.org/10.1109/DASC-PICom-CBDCom-CyberSciTech49142.2020.00097
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Does Hard-Negative Contrastive Learning Improve Facial Emotion Recognition?;Proceedings of the 2024 7th International Conference on Machine Vision and Applications;2024-03-12
2. Complexity aware center loss for facial expression recognition;The Visual Computer;2024-01-09
3. Coping with Increased Levels of Label Noise in Facial Expression Recognition;Communications in Computer and Information Science;2024
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3