Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 12
3801-3807

Pseudo-3D residual network based on minimum intra-class variance

Xie Chaoyu
Qin Yu
Zhang Kaifang
Wang Xiaoming
School of Computer & Software Engineer, Xihua University, Chengdu 610039, China
DOI: 10.19734/j.issn.1001-3695.2021.04.0129

Abstract

As a deep learning method for extracting video spatio-temporal features, pseudo-3D residual net(P3D ResNet) uses the objective function of SVM to drive the learning of deep network. In this way, this method inherits the insufficiency of SVM, which only considers the interval between different categories, and ignores the distribution information of similar samples. Aiming at this problem, this paper proposed an improved method called P3D ResNet based on minimum intra-class variance. This method not only embodied the principle of large interval, but also used the distribution information of sample data. Firstly, the method used the feature vector extracted by P3D ResNet to calculate the intra-class divergence matrix. Then it used the matrix to construct a new objective function. Finally, it drove the learning of P3D ResNet by the newly constructed objective function. This paper applied the method to the field of behavior recognition. Experimental results on multiple datasets show that compared with the traditional P3D ResNet, the proposed method achieves higher recognition accuracy and shows better generalization performance.

Foundation Support

西华大学研究生创新基金资助项目(ycjj2019085)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.04.0129
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 12
Section: Technology of Graphic & Image
Pages: 3801-3807
Serial Number: 1001-3695(2021)12-051-3801-07

Publish History

[2021-12-05] Printed Article

Cite This Article

谢超宇, 秦玉, 张开放, 等. 基于最小类内方差的伪三维残差网络 [J]. 计算机应用研究, 2021, 38 (12): 3801-3807. (Xie Chaoyu, Qin Yu, Zhang Kaifang, et al. Pseudo-3D residual network based on minimum intra-class variance [J]. Application Research of Computers, 2021, 38 (12): 3801-3807. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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