您当前的位置：
首页 >
文章列表页 >
Cross-modal pedestrian re-identification method enhanced by multi-mechanism fusion
Image Processing | 更新时间：2026-06-12

    • Cross-modal pedestrian re-identification method enhanced by multi-mechanism fusion

    • Chinese Journal of Liquid Crystals and Displays   Vol. 41, Issue 5, Pages: 675-686(2026)

    • DOI：10.37188/CJLCD.2026-0043    

      CLC： TP391.4
    • CSTR：32172.14.CJLCD.2026-0043    

    • Received：17 March 2026，

      Revised：2026-04-10，

      Published：05 May 2026

    移动端阅览

  • TU Mingjun, LIN Guojun, FENG Kai, et al. Cross-modal pedestrian re-identification method enhanced by multi-mechanism fusion[J]. Chinese Journal of Liquid Crystals and Displays, 2026, 41(5): 675-686. DOI： 10.37188/CJLCD.2026-0043. CSTR： 32172.14.CJLCD.2026-0043.

  •  
  •  

0

Views

0

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

Pedestrian multi-target tracking method based on YOLOv5 and person re-identification
Insulator defect detection based on improved YOLOv11n
Liquid crystal lens with biased-electrode based on generalized Snell’s law
Suppression of optical bounce in overdrive liquid crystal devices
Target prompt token-based lightweight transformer for single object tracking algorithm

Related Author

Yu-ting HE
Jin CHE
Jin-man WU

Related Institution

School of Physics and Electronic-Electrical Engineering， Ningxia University
Ningxia Key Laboratory of Intelligent Sensing for Desert Information
0