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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:2024-12-05

      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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相关作者

Hao Wen 西安理工大学计算机科学与工程学院;陕西省网络计算与安全技术重点实验室
Zuo Zhanbin 西安理工大学计算机科学与工程学院
Lu Hansen 西安理工大学计算机科学与工程学院
Liang Wei 西安理工大学计算机科学与工程学院;陕西省网络计算与安全技术重点实验室
Jin Haiyan 西安理工大学计算机科学与工程学院;陕西省网络计算与安全技术重点实验室
Shi Zhenghao 西安理工大学计算机科学与工程学院;陕西省网络计算与安全技术重点实验室
Wang Zhengbao 西北工业大学计算机学院
Zeng Zhenxuan 西北工业大学计算机学院

相关机构

Department of Computer Science,Xi’an University of Technology
Shaanxi Key Laboratory for Network Computing and Security Technology
School of Computer Science,Northwestern Polytechnical University
China Mobile Research Institute
Vehicle Engineering College, Dalian Jiaotong University
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