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    • Distortion semantic aggregation network for salient object detection in 360° omnidirectional images

    • “In the field of 360 ° panoramic image processing, the distortion adaptive semantic aggregation network DSANet has been proposed, which effectively improves the performance of salient object detection and provides a solution for solving geometric distortion and large field of view problems.”
    • Vol. 30, Issue 7, Pages: 2451-2467(2025)   

      Received：15 July 2024，

      Revised：05 December 2024，

      Published：16 July 2025

    • DOI： 10.11834/jig.240371     

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  • Chen Xiaolei， Zhang Xuegong， Du Zelong， Wang Xing. 2025. Distortion semantic aggregation network for salient object detection in 360° omnidirectional images. Journal of Image and Graphics， 30(7):2451-2467 DOI： 10.11834/jig.240371.
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Shen Tianshu 山东财经大学计算机与人工智能学院;山东省数字经济轻量智算与可视化重点实验室
Chi Jing 山东财经大学计算机与人工智能学院;山东省数字经济轻量智算与可视化重点实验室
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Wang Jing 深圳大学可视计算研究中心
Xiong Haoran 深圳大学可视计算研究中心
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School of Computer and Artificial Intelligence， Shandong University of Finance and Economics， Ji’nan
Shandong Key Laboratory of Lightweight Intelligent Computing and Visualization for Digital Economy， Ji’nan
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School of Computer and Information Technology，Northeast Petroleum University
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