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    • Challenges and progress of object detection technology in open environments

    • In the field of computer vision, object detection technology uses deep neural networks to recognize visual objects in images and predict their positions and categories. This article deeply analyzes the challenges faced by object detection in open environments, explores possible directions for improving object detection systems, and provides a new and systematic perspective for object detection technology in open environments.
    • Vol. 30, Issue 6, Pages: 1616-1637(2025)   

      Received:02 January 2025

      Revised:23 February 2025

      Published:16 June 2025

    • DOI: 10.11834/jig.250004     

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  • Cao Xiaochun, Zhao Sicheng, Wu Aming, Liang Siyuan, Wang Liyuan. 2025. Challenges and progress of object detection technology in open environments. Journal of Image and Graphics, 30(6):1616-1637 DOI: 10.11834/jig.250004.
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相关作者

Cao Xiaochun 中山大学
Zhao Sicheng 清华大学
Wu Aming 西安电子科技大学
Liang Siyuan 新加坡国立大学
Wang Liyuan 清华大学
Fu Hao 浙江大学计算机科学与技术学院
Feng Qian 浙江大学计算机科学与技术学院
Tu Jiahang 浙江大学计算机科学与技术学院

相关机构

Sun Yat-sen University
Tsinghua University
Xidian University, Xian
National University of Singapore
Microsoft Research Asia
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