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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 5
1281-1290

Comprehensive review of multimodal processing methods for image-text

Jiang Limei
Li Binglong
Dept. of Computer Science, North China Electric Power University(Baoding), Baoding Hebei 071003, China
DOI: 10.19734/j.issn.1001-3695.2023.08.0398

Abstract

In the field of deep learning, solving problems often requires combining multiple modal information for reasoning and decision-making, among which visual and language information are two important modalities in the interaction process. In many application scenarios, processing multi-modal tasks often faces problems such as complex model architecture organization and inefficient training methods. Based on the above problems, this paper reviewed the representative achievements in the field of multimodal image text in the past five years. This paper first started from the mainstream multi-modal tasks and introduced related text and image multi-modal datasets and pre-training targets. Secondly, considering the visual language model based on Transformer and the feature extraction method, this paper analyzed from the perspectives of multi-modal organization architecture and cross-modal fusion methods, and summarized and compared the commonalities and differences of different processing strategies. Then it introduced the lightweight method of the model from data input, structural components and other aspects. Finally, it prospected the future research direction of multimodal methods based on image text.

Foundation Support

华北电力大学中央高校基本科研业务费专项资金资助项目(2022MS102)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.08.0398
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 5
Section: Survey
Pages: 1281-1290
Serial Number: 1001-3695(2024)05-001-1281-10

Publish History

[2023-11-14] Accepted Paper
[2024-05-05] Printed Article

Cite This Article

姜丽梅, 李秉龙. 面向图像文本的多模态处理方法综述 [J]. 计算机应用研究, 2024, 41 (5): 1281-1290. (Jiang Limei, Li Binglong. Comprehensive review of multimodal processing methods for image-text [J]. Application Research of Computers, 2024, 41 (5): 1281-1290. )

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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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