Knowledge Commons of Institute of Automation,CAS
Natural Scene Facial Expression Recognition with Dimension Reduction Network | |
Hu, Shenhua1,2; Hu, Yiming1,2; Li, Jianquan1,2; Long, Xianlei1,2; Chen, Mengjuan1,2; Gu, Qingyi1,2 | |
2020-05 | |
会议名称 | IEEE International Conference on Robotics and Automation |
会议日期 | 2020-5 |
会议地点 | 远程 |
摘要 | As an external manifestation of human emotions, expression recognition plays an important role in human-computer interaction. Although existing expression recognition methods performs perfectly on constrained frontal faces, there are still many challenges in expression recognition in natural scenes due to different unrestricted conditions. Expression classification belongs to a pattern recognition problem where intra-class distance is greater than the inter-class distance, which leads to severe over-fitting when using neural networks for expression recognition. This paper proposes a novel network structure called Dimension Reduction Network which can effectively reduce generalization error. By adding a data dimension reduction module before the general classification network, a lot of redundant information is filtered, and only useful information is left.This can reduce the interference by irrelevant information when performing classification tasks and reduce generalization error. The proposed method does not require any modification to the classification network, only a small dimension reduction module needs to be added in front of the classification network. However, it can effectively reduce generalization error. We designed big and tiny versions of Dimension Reduction Network, both exceeds our baseline on AffectNet data set. The big version of our proposed method surpassed the state-of-the-art methods by more than 1.2% on AffectNet data set. Our code will open source when the paper is accepted. |
收录类别 | EI |
语种 | 英语 |
七大方向——子方向分类 | 图像视频处理与分析 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/39105 |
专题 | 多模态人工智能系统全国重点实验室_人工智能与机器学习(杨雪冰)-技术团队 中国科学院自动化研究所 |
通讯作者 | Gu, Qingyi |
作者单位 | 1.Institute of Automation, Chinese Academy of Sciences 2.School of Artificial Intelligence, University of Chinese Academy of Sciences |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Hu, Shenhua,Hu, Yiming,Li, Jianquan,et al. Natural Scene Facial Expression Recognition with Dimension Reduction Network[C],2020. |
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