您当前的位置：
首页 >
文章列表页 >
Review of single object tracking algorithm based on deep learning
Image Processing | 更新时间：2025-08-13

    • Review of single object tracking algorithm based on deep learning

    • “In the field of computer vision, expert systems have reviewed single object tracking methods based on deep learning to provide solutions for target localization problems.”
    • Chinese Journal of Liquid Crystals and Displays   Vol. 40, Issue 8, Pages: 1202-1218(2025)

    • DOI：10.37188/CJLCD.2025-0081    

      CLC： TP391
    • CSTR：32172.14.CJLCD.2025-0081    

    • Received：10 April 2025，

      Revised：20 May 2025，

      Published：05 August 2025

    移动端阅览

  • GAO Shiyan, LIU Jie, CHEN Wenyi, et al. Review of single object tracking algorithm based on deep learning[J]. Chinese journal of liquid crystals and displays, 2025, 40(8): 1202-1218. DOI： 10.37188/CJLCD.2025-0081. CSTR： 32172.14.CJLCD.2025-0081.

  •  
  •  

0

Views

44

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

No data

Related Author

GAO Shiyan
LIU jie
CHEN Wenyi
HE Zemin
YANG Haiyan
MIAO Zongcheng

Related Institution

Shaanxi Key Laboratory of Liquid Crystal Polymer Intelligent Display， Technological Institute of Materials & Energy Science （TIMES）， Xijing University
Key Laboratory of Liquid Crystal Polymers based Flexible Display Technology in National Petroleum and Chemical Industry， School of Electronic Information， Xijing University
0