Technology of Graphic & Image
|
App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 3
951-955

Image semantic segmentation network of pre-guidanced multi-stage feature fusion

Wang Yan
Fan Xianghui
Wang Likang
School of Computer & Communication, Lanzhou University of Technology, Lanzhou 730050, China
DOI: 10.19734/j.issn.1001-3695.2023.07.0302

Abstract

In view of the current semantic segmentation can not accurately identify image edges and small objects, and simple fusion of multi-stage features will cause information redundancy, confusion and other problems, this paper proposed a pre-guidanced multi-stage feature fusion network(PGMFFNet). PGMFFNet employed a encoder-decoder structure, at the encoder stage, which used a pre-guidance module to guide the information in each stage. Strengthened the relationship between the features of each stage, and solved the semantic confounding problems in the subsequent fusion process of the features of each stage. At the decoder stage, which used the multi-path up-pyramid sampling module to fuse high-level semantic features, and then used the improved dense void space pyramid pool module to further expand the sensory field of the fused features, and finally fused the feature information of high and low levels to make the segmentation effect of small objects better. This paper verified PGMFFNet on CityScapes open data set, and the mean intersection over union(MIoU) obtained to 78.38%, showing good segmentation effect.

Foundation Support

国家自然科学基金资助项目(61863025)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.07.0302
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 3
Section: Technology of Graphic & Image
Pages: 951-955
Serial Number: 1001-3695(2024)03-047-0951-05

Publish History

[2023-09-06] Accepted Paper
[2024-03-05] Printed Article

Cite This Article

王燕, 范向辉, 王丽康. 预指导的多阶段特征融合的图像语义分割网络 [J]. 计算机应用研究, 2024, 41 (3): 951-955. (Wang Yan, Fan Xianghui, Wang Likang. Image semantic segmentation network of pre-guidanced multi-stage feature fusion [J]. Application Research of Computers, 2024, 41 (3): 951-955. )

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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