Technology of Graphic & Image
|
280-284,302

Visual question answering model of vision and scene text based on multi-modal reasoning graph neural network

Zhang Haitao
Guo Xinyu
School of Software, Liaoning Technical University, Huludao Liaoning 125105, China

Abstract

Poor text reading ability and inadequate visual reasoning were the main reasons for the insufficient effect of existing visual question answering models. To solve the above problems, this paper designed a MRGNN model. It used various forms of information in images to help understanding the scene text content, preprocessed the scene text image into the visual object graph and text graph respectively, and filtered the redundant information in the question self-attention module. It used an aggregator with attention to perfect the node features between subgraphs and fuse different modality information. The updated nodes used the context information of different modules to provide a better function for answering module. This paper verified the validity of MRGNN model on ST-VQA and TextVQA datasets. The experimental results show that MRGNN model achieves good results compared with some classical models for this task.

Foundation Support

辽宁省自然科学基金面上项目
中国人民解放军总装备部装备预研基金项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.06.0197
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 1
Section: Technology of Graphic & Image
Pages: 280-284,302
Serial Number: 1001-3695(2022)01-050-0280-05

Publish History

[2022-01-05] Printed Article

Cite This Article

张海涛, 郭欣雨. 基于多模态推理图神经网络的场景文本视觉问答模型 [J]. 计算机应用研究, 2022, 39 (1): 280-284,302. (Zhang Haitao, Guo Xinyu. Visual question answering model of vision and scene text based on multi-modal reasoning graph neural network [J]. Application Research of Computers, 2022, 39 (1): 280-284,302. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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