System Development & Application
|
3030-3033,3047

New dynamic memory network for visual question answering

Wang Yongqi
Wu Fei
Wang Chunyuan
Jiang Xiaoxiao
School of Electronic & Electrical Engineering, Shanghai University of Engineering, Shanghai 201620, China

Abstract

The neural network structure with memory and attention mechanism shows some reasoning abilities needed for question answering. DMN is such an architecture, which achieves high accuracy in various language tasks. However, when there is no tag during training to support facts or whether it can be applied to other patterns such as images, does the architecture achieve strong results for question answering? Based on the analysis of DMN, this paper proposed several improvements of its memory and input module. Combining these changes, it introduced a new image input module to answer visual questions. The new dynamic memory model improved the latest technology on visual question answering data sets. The experimental results show that the proposed method achieves good results on visual question answering tasks.

Foundation Support

国家自然科学基金资助项目(1801286,61701295)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.05.0212
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 10
Section: System Development & Application
Pages: 3030-3033,3047
Serial Number: 1001-3695(2020)10-030-3030-04

Publish History

[2020-10-05] Printed Article

Cite This Article

王永琦, 吴飞, 王春媛, 等. 新的动态记忆网络的视觉问答 [J]. 计算机应用研究, 2020, 37 (10): 3030-3033,3047. (Wang Yongqi, Wu Fei, Wang Chunyuan, et al. New dynamic memory network for visual question answering [J]. Application Research of Computers, 2020, 37 (10): 3030-3033,3047. )

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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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