Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 8
2293-2298

Research on visual question answering model based on composite graphic features

Qiu Nan
Gu Yuwan
Shi Lin
Li Ning
Zhuang Lihua
Xu Shoukun
School of Computer Science & Artificial Intelligence, Aliyun School of Big Data, Changzhou University, Changzhou Jiangsu 213164, China
DOI: 10.19734/j.issn.1001-3695.2020.12.0537

Abstract

In view of the problems of high training complexity and slow inference speed involved by the current mainstream visual question answering task which uses regional features as image representations, this paper proposed a convolutional network(composite visionlinguistic ConvNet, CVlCN) based on composite visual language to extract the image features in visual question answering tasks. The proposed method represented image features and problem semantics into composite picture-text features through composite learning, and then calculated the attention distribution of composite picture-text features from space and channels to selectively retain visual information related to problem semantics. The experimental results show that, on the VQA-v2 dataset, the test accuracy of the proposed method on the visual question answering task is obviously improved, and the overall accuracy is 64.4%. And the model has low computational complexity and fast inference speed.

Foundation Support

国家自然科学基金资助项目(61906021)
常州市城市大数据分析与应用技术重点实验室资助项目(CM20193007)
江苏省研究生科研创新计划资助项目(KYCX21-2829)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.12.0537
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 8
Section: Algorithm Research & Explore
Pages: 2293-2298
Serial Number: 1001-3695(2021)08-008-2293-06

Publish History

[2021-08-05] Printed Article

Cite This Article

邱南, 顾玉宛, 石林, 等. 基于复合图文特征的视觉问答模型研究 [J]. 计算机应用研究, 2021, 38 (8): 2293-2298. (Qiu Nan, Gu Yuwan, Shi Lin, et al. Research on visual question answering model based on composite graphic features [J]. Application Research of Computers, 2021, 38 (8): 2293-2298. )

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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.

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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