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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 10

Multi-scale modal fusion network for RGB-D salient object detection

Yu Ming1,2
Tang Shichen1
Liu Yi2
1. Hebei University of Technology, School of Electronic & Information Engineering, Tianjin 300401, China
2. Hebei University of Technology, School of Artificial Intelligence, Tianjin 300401, China
DOI: 10.19734/j.issn.1001-3695.2025.02.0054

Abstract

The task of salient object detection aims to automatically locate the most visually salient objects within a scene. This paper proposed a multi-scale modal fusion network (MMFNet) for RGB-D salient object detection. The method addressed the challenges of underutilized cross-modal complementary features and information loss in hierarchical feature fusion. The model includes a multi-scale modal enhancement module and a parallel multi-layer decoding structure. The multi-scale modal enhancement module refined multi-modal features using dilated convolutions. It fused multi-receptive-field features through attention mechanisms to reduce redundant information. The parallel multi-layer decoding structure employed a cascaded dual-decoder design, where channel attention mechanisms adaptively calibrated hierarchical features to further optimize the predicted saliency map and enhance cross-layer information learning. Experiments are conducted on four benchmark datasets. The results show that the network outperforms nine state-of-the-art methods across four evaluation metrics, demonstrating superior performance.

Foundation Support

国家自然科学基金资助项目(62276088,62102129)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.02.0054
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 10

Publish History

[2025-06-04] Accepted Paper

Cite This Article

于明, 唐世辰, 刘依. 基于多尺度模态融合的RGB-D显著性目标检测网络 [J]. 计算机应用研究, 2025, 42 (10). (2025-06-04). https://doi.org/10.19734/j.issn.1001-3695.2025.02.0054. (Yu Ming, Tang Shichen, Liu Yi. Multi-scale modal fusion network for RGB-D salient object detection [J]. Application Research of Computers, 2025, 42 (10). (2025-06-04). https://doi.org/10.19734/j.issn.1001-3695.2025.02.0054. )

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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