您当前的位置:
首页 >
文章列表页 >
Efficient siamese single object tracking based on hybrid feature fusion
Image Processing | 更新时间:2025-08-13
    • Efficient siamese single object tracking based on hybrid feature fusion

    • In the field of single target tracking, researchers have proposed an efficient tracking method based on twin networks, using MobileNet-V3 as the backbone network and designing a hybrid feature fusion module to effectively improve tracking performance.
    • Chinese Journal of Liquid Crystals and Displays   Vol. 40, Issue 8, Pages: 1219-1232(2025)
    • DOI:10.37188/CJLCD.2025-0097    

      CLC: TP391.4
    • CSTR:32172.14.CJLCD.2025-0097    
    • Received:28 April 2025

      Revised:10 June 2025

      Published:05 August 2025

    移动端阅览

  • LI Na, PAN Jinting, LI Rongji, et al. Efficient siamese single object tracking based on hybrid feature fusion[J]. Chinese journal of liquid crystals and displays, 2025, 40(8): 1219-1232. DOI: 10.37188/CJLCD.2025-0097. CSTR: 32172.14.CJLCD.2025-0097.

  •  
  •  

0

Views

27

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

Small object detection algorithm in UAV aerial images based on improved YOLO11
Video object tracking algorithm based on dual-branch online optimization and feature fusion
Anti-UAV object tracking with enhanced backbone and feature rearrangement
Camouflaged object segmentation based on edge enhancement and feature fusion

Related Author

ZHANG Zhihao
LI Xiaorun
CHEN Shuhan
LI Xinpeng
WANG Peng
LI Xiaoyan
SUN Mengyu
CHEN Zuntian

Related Institution

College of Electrical Engineering, Zhejiang University
Xi'an Institute of Electromechanical Information Technology
School of Electronics and Information Engineering, Xi'an Technological University
College of Information and Communication Engineering, Harbin Engineering University
University of Chinese Academy of Sciences
0