Multi-view facial action unit detection via DenseNets and CapsNets

• Published in: Multimedia tools and applications Vol. 81; no. 14; pp. 19377 - 19394
• Main Authors: Ren, Dakai, Wen, Xiangmin, Chen, Jiazhong, Han, Yu, Zhang, Shiqi
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.06.2022; Springer Nature B.V
• Subjects: 1182: Deep Processing of Multimedia Data; Affine transformations; Artificial neural networks; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Datasets; Deep learning; Image reconstruction; Multimedia; Multimedia Information Systems; Neural networks; Robustness (mathematics); Special Purpose and Application-Based Systems; Deep learning; Facial action unit; Facial expression recognition; Emotion recognition; CapsNets; DenseNets; Convolutional neural networks

Though the standard convolutional neural networks (CNNs) have been proposed to increase the robustness of facial action unit (AU) detection regarding pose variations, it is hard to enhance detection performance because the standard CNNs are not robust enough to affine transformation. To address this...