E-FCNN for tiny facial expression recognition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-020-01855-5.pdf
Reference36 articles.
1. Weiguo W, Qingmei M, Yu W (2004) Development of the humanoid head portrait robot system with flexible face and expression. In: Proceedings of the 2004 IEEE International Conference on Robotics and Biomimetics, pp 757–762. https://doi.org/10.1109/ROBIO.2004.1521877
2. Patil S A, Deore P J (2016) Local binary pattern based face recognition system for automotive security. In: Proceedings of the International Conference on Signal Processing, Computing and Control, pp 13–17
3. Su M H, Wu C H, Huang K Y, Hong Q B, Wang H M (2017) Exploring microscopic fluctuation of facial expression for mood disorder classification. In: Proceedings of the International Conference on Orange Technologies, pp 65–69
4. Mollahosseini A, Chan D, Mahoor M H (2016) Going deeper in facial expression recognition using deep neural networks. In: Proceedings of the Applications of Computer Vision, pp 1–10
5. Huang G, Liu Z, Van Der Maaten L, Weinberger KQ (2017) Densely Connected Convolutional Networks. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Cited by 36 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. Compound facial expressions recognition approach using DCGAN and CNN;Multimedia Tools and Applications;2024-08-28
2. RS-Xception: A Lightweight Network for Facial Expression Recognition;Electronics;2024-08-14
3. A dual stream attention network for facial expression recognition in the wild;International Journal of Machine Learning and Cybernetics;2024-07-23
4. Enhanced Hybrid Vision Transformer with Multi-Scale Feature Integration and Patch Dropping for Facial Expression Recognition;Sensors;2024-06-26
5. A joint learning method with consistency-aware for low-resolution facial expression recognition;Expert Systems with Applications;2024-06
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