您当前的位置：
首页 >
文章列表页 >
Improved target tracking algorithm based on Swin-Transformer
Image Processing | 更新时间：2024-11-28

    • Improved target tracking algorithm based on Swin-Transformer

    • “In the field of target tracking, researchers have proposed improved algorithms based on Swin Transformer networks, effectively enhancing tracking performance.”
    • Chinese Journal of Liquid Crystals and Displays   Vol. 39, Issue 11, Pages: 1569-1580(2024)

    • DOI：10.37188/CJLCD.2024-0118    

      CLC： TP391

    • Received：10 April 2024，

      Revised：17 April 2024，

      Published：05 November 2024

    移动端阅览

  • LIU Shi, ZHU Ming. Improved target tracking algorithm based on Swin-Transformer[J]. Chinese journal of liquid crystals and displays, 2024, 39(11): 1569-1580. DOI： 10.37188/CJLCD.2024-0118.

  •  
  •  

0

Views

353

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

Improved YOLOx-based vehicle detection method for low light environment
Advances in twin network research in visual tracking technology
UAV target tracking with dual response anomaly constraint
Target tracking method based on improved ECO-HC

Related Author

YANG Xiaohan
WANG Jun
DUAN Zhongxing
HUI Leilei
HE Zemin
ZENG Juntao
YUAN Baoxi
LIANG Dejian

Related Institution

College of Information and Control Engineering， Xi'an University of Architecture and Technology
Traffic Engineering Construction Bureau of Jiangsu Province
China Northwest Architecture Design and Research Institute Co. Ltd.
Technological Institute of Materials & Energy Science， Xijing University
Beijing Xinghang Electromechanical Equipment Co. Ltd.
0