Discriminative deep multi-task learning for facial expression recognition

Discriminative deep multi-task learning for facial expression recognition
复制标题

用于面部表情识别的判别式深度多任务学习

DOI:
10.1016/j.ins.2020.04.041
复制
发表时间:
2020-09
影响因子:
8.1
通讯作者:
Lv Hexin
Lv Hexin
中科院分区:
计算机科学1区
文献类型:
--
作者:
Zheng Hao;Wang Ruili;Ji Wanting;Zong Ming;Wong Wai Keung;Lai Zhihui;Lv Hexin

文献摘要

参考文献

被引文献

相似文献

Deep multi-task learning (DMTL) is an efficient machine learning technique that has been widely utilized for facial expression recognition. However, current deep multi-task learning methods typically only consider the information of class labels, while ignoring the local information of sample spatial distribution. In this paper, we propose a discriminative DMTL (DDMTL) facial expression recognition method, which overcomes the above shortcomings by considering both the class label information and the samples’ local spatial distribution information simultaneously. We further design a siamese network to evaluate the local spatial distribution through an adaptive reweighting module, utilizing the class label information with different confidences. In addition, by taking the advantage of the provided local distribution information of samples, DDMTL is able to achieve acceptable results even if the number of training samples is small. We implement experiments on three facial expression datasets. The experimental results demonstrate that DDMTL is superior to the state-of-the-art methods.
DOI: --
发表时间: 2015-09
期刊: ArXiv
影响因子: --
作者:
Peter Burkert;Felix Trier;Muhammad Zeshan Afzal;A. Dengel;M. Liwicki
通讯作者: Peter Burkert;Felix Trier;Muhammad Zeshan Afzal;A. Dengel;M. Liwicki
DOI: 10.1145/2818346.2830586
发表时间: 2015-11
期刊: Proceedings of the 2015 ACM on International Conference on Multimodal Interaction
影响因子: --
作者:
Bo Sun;Liandong Li;Guoyan Zhou;Xuewen Wu;Jun He;Lejun Yu;Dongxue Li;Qinglan Wei
通讯作者: Bo Sun;Liandong Li;Guoyan Zhou;Xuewen Wu;Jun He;Lejun Yu;Dongxue Li;Qinglan Wei
DOI: --
发表时间: 2010
期刊: --
影响因子: --
作者:
M. Valstar;M. Pantic
通讯作者: M. Valstar;M. Pantic
DOI: --
发表时间: 2013-12
影响因子: 11.8
作者:
Chen Liu
通讯作者: Chen Liu
DOI: 10.1016/j.ins.2018.05.057
发表时间: 2018-09
期刊: Inf. Sci.
影响因子: --
作者:
Nacer Farajzadeh;Mahdi Hashemzadeh
通讯作者: Nacer Farajzadeh;Mahdi Hashemzadeh