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    • Distortion-adaptive and position-aware network for salient object detection in 360° omnidirectional image

    • “In the field of salient object detection in 360 ° panoramic images, the DPNet model effectively solves the problems of geometric distortion and background interference, providing a new solution for salient object detection.”
    • Vol. 30, Issue 8, Pages: 2758-2774(2025)   

      Received：15 October 2024，

      Revised：2024-12-11，

      Published：16 August 2025

    • DOI： 10.11834/jig.240592     

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  • Chen Xiaolei， Du Zelong， Zhang Xuegong， Wang Xing. 2025. Distortion-adaptive and position-aware network for salient object detection in 360° omnidirectional image. Journal of Image and Graphics， 30(8):2758-2774 DOI： 10.11834/jig.240592.
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相关作者

Wang Xing 兰州理工大学电气工程与信息工程学院
Zhang Xuegong 兰州理工大学电气工程与信息工程学院
Du Zelong 兰州理工大学电气工程与信息工程学院
Chen Xiaolei 兰州理工大学电气工程与信息工程学院
Wang Xing 兰州理工大学电气工程与信息工程学院
Du Zelong 兰州理工大学电气工程与信息工程学院
Zhang Xuegong 兰州理工大学电气工程与信息工程学院
Chen Xiaolei 兰州理工大学电气工程与信息工程学院

相关机构

School of Information Science and Engineering， Wuhan University of Science and Technology
School of Computer Science and Technology, Taiyuan University of Science and Technology
School of Mechanical Engineering, Hefei University of Technology
School of Computer Science and Information Engineering, Shanghai Institute of Technology
School of Information Science and Engineering, East China University of Science and Technology
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