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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 8
2526-2530

Research on real-time semantic segmentation of road scene based on multi-branch network

Liao Wensena,b
Xu Chenga,b
Liu Hongzhea,b
Li Xueweia,b
a. Beijing Key Laboratory of Information Service Engineering, b. Institute for Brain & Cognitive Sciences, Beijing Union University, Beijing 100101, China
DOI: 10.19734/j.issn.1001-3695.2022.11.0644

Abstract

Aiming at the problems of inaccurate large target segmentation and loss of small target information in current real-time semantic segmentation methods, this paper proposed a real-time semantic segmentation algorithm based on multi-branch networks. First of all, this paper optimized the bilateral segmentation network, and designed pyramid branches to expand the receptive field to cover large objects in the field of view and fully combine context information. Secondly, it designed a bilateral guidance fusion module to map deep and shallow features and provided guidance information to make up for the loss of small target information. Finally, this paper verified the proposed method on the Cityscapes dataset. The experimental results show that the proposed model achieves an average intersection ratio of 77.8% at an inference speed of 51.3 fps, and the accuracy is increased by 2.5 percentage points compared with the baseline. The proposed method adopts the pyramid branch to obtain the characteristics of semantic edge regions at different scales while expanding the receptive field, and enhances the modeling ability of semantic boundaries, and the proposed bilateral guidance fusion module can more effectively integrate features of different levels, compensating for the information loss caused by downsampling can better guide model learning.

Foundation Support

国家自然科学基金资助项目(62171042,62102033,62006020)
北京市重点科技项目(KZ202211417048)
北京市属高等学校高水平科研创新团队建设支持计划项目(BPHR20220121)
协同创新中心资助项目(CYXC2203)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.11.0644
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 8
Section: Technology of Graphic & Image
Pages: 2526-2530
Serial Number: 1001-3695(2023)08-045-2526-05

Publish History

[2023-02-03] Accepted Paper
[2023-08-05] Printed Article

Cite This Article

廖文森, 徐成, 刘宏哲, 等. 基于多分支网络的道路场景实时语义分割方法 [J]. 计算机应用研究, 2023, 40 (8): 2526-2530. (Liao Wensen, Xu Cheng, Liu Hongzhe, et al. Research on real-time semantic segmentation of road scene based on multi-branch network [J]. Application Research of Computers, 2023, 40 (8): 2526-2530. )

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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