Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 5
1594-1600

RGB-D indoor semantic segmentation based on feature regulator and dual-path guidance

Zhang Shuai1
Lei Jingsheng1
Jin Wuyin2
Yu Yunxiang3
Yang Shengying1,2
1. School of Information & Electronic Engineering, Zhejiang University of Science & Technology, Hangzhou 310023, China
2. College of Mechanical Electronical & Engineering, Lanzhou University of Technology, Lanzhou 730050, China
3. Zhejiang Dingli Industry Co. , Lishui Zhejiang 321400, China
DOI: 10.19734/j.issn.1001-3695.2023.07.0355

Abstract

Aiming at the problems of inaccurate semantic segmentation results and rough saliency maps of indoor scene images, this paper proposed a network architecture(feature regulator and dual-path guidance, FG-Net) based on multi-modal feature optimization extraction and dual-path guided decoding. Specifically, the feature regulator sequentially performed noise filtering, re-weighted representation, differential complementation and interactive fusion on the multi-modal features at each stage, and optimized multi-modal feature representation in the feature extraction process by strengthening RGB and depth feature aggregation. Then, the dual-path guidance component introduced rich cross-modal cues after feature interactive fusion in the decoding stage to further take advantage of multi-modal features. The dual-path cooperative guidance structure outputted a more detailed saliency map by integrating multi-scale and multi-level feature information in the decoding stage. This paper conducted experiments on the public datasets NYUD-v2 and SUN RGB-D, and achieved 48.5% in the main evaluation metric mIoU, which is better than other state-of-the-art algorithms. The results show that the algorithm achieves more refined semantic segmentation of indoor scene images, and has good generalization and robustness.

Foundation Support

国家自然科学基金资助项目(12062009)
新疆维吾尔自治区自然科学基金资助项目(2022D01C349)
基于标签技术的电网信息项目智能管理系统研究及应用(066700KK52180021)
浙江省基础公益研究计划资助项目(LGF19F020003)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.07.0355
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 5
Section: Technology of Graphic & Image
Pages: 1594-1600
Serial Number: 1001-3695(2024)05-044-1594-07

Publish History

[2023-11-02] Accepted Paper
[2024-05-05] Printed Article

Cite This Article

张帅, 雷景生, 靳伍银, 等. 基于特征调节器和双路径引导的RGB-D室内语义分割 [J]. 计算机应用研究, 2024, 41 (5): 1594-1600. (Zhang Shuai, Lei Jingsheng, Jin Wuyin, et al. RGB-D indoor semantic segmentation based on feature regulator and dual-path guidance [J]. Application Research of Computers, 2024, 41 (5): 1594-1600. )

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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