Swin Transformer-Based Edge Guidance Network for RGB-D Salient Object Detection

doi:10.3390/s23218802

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	Swin Transformer-Based Edge Guidance Network for RGB-D Salient Object Detection
	S. Wang, F. Jiang and B. Xu
	2023
发表期刊	Sensors
ISSN	14248220
卷号	23 期号:21
摘要	Salient object detection (SOD), which is used to identify the most distinctive object in a given scene, plays an important role in computer vision tasks. Most existing RGB-D SOD methods employ a CNN-based network as the backbone to extract features from RGB and depth images; however, the inherent locality of a CNN-based network limits the performance of CNN-based methods. To tackle this issue, we propose a novel Swin Transformer-based edge guidance network (SwinEGNet) for RGB-D SOD in which the Swin Transformer is employed as a powerful feature extractor to capture the global context. An edge-guided cross-modal interaction module is proposed to effectively enhance and fuse features. In particular, we employed the Swin Transformer as the backbone to extract features from RGB images and depth maps. Then, we introduced the edge extraction module (EEM) to extract edge features and the depth enhancement module (DEM) to enhance depth features. Additionally, a cross-modal interaction module (CIM) was used to integrate cross-modal features from global and local contexts. Finally, we employed a cascaded decoder to refine the prediction map in a coarse-to-fine manner. Extensive experiments demonstrated that our SwinEGNet achieved the best performance on the LFSD, NLPR, DES, and NJU2K datasets and achieved comparable performance on the STEREO dataset compared to 14 state-of-the-art methods. Our model achieved better performance compared to SwinNet, with 88.4% parameters and 77.2% FLOPs. Our code will be publicly available. © 2023 by the authors.
DOI	10.3390/s23218802
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收录类别	sci ; ei
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/67955
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	S. Wang, F. Jiang and B. Xu. Swin Transformer-Based Edge Guidance Network for RGB-D Salient Object Detection[J]. Sensors,2023,23(21).
APA	S. Wang, F. Jiang and B. Xu.(2023).Swin Transformer-Based Edge Guidance Network for RGB-D Salient Object Detection.Sensors,23(21).
MLA	S. Wang, F. Jiang and B. Xu."Swin Transformer-Based Edge Guidance Network for RGB-D Salient Object Detection".Sensors 23.21(2023).

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