您当前的位置：
首页 >
文章列表页 >
Image Description of Transmission Line Scenes Based on Knowledge Enhancement
Graphic and Image Processing | 更新时间：2025-09-30

    • Image Description of Transmission Line Scenes Based on Knowledge Enhancement

    • “In the field of image description of transmission line scenes, experts have proposed a knowledge graph enhanced cross modal model, which effectively improves the coherence and richness of descriptive text by constructing domain knowledge graphs and LLM Adapter modules.”
    • Software Guide   Vol. 24, Issue 9, Pages: 206-212(2025)

    • DOI：10.11907/rjdk.241742    

      CLC： TP391

    • Received：27 August 2024，

      Published：15 September 2025

    移动端阅览

  • YU Pingping,ZHOU Jingjing,ZHANG Liyan,et al.Image Description of Transmission Line Scenes Based on Knowledge Enhancement[J].Software Guide,2025,24(09):206-212. DOI： 10.11907/rjdk.241742.

  •  
  •  

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

An Event Extraction Method in Specific Domains Combining Knowledge Graph
Semi-Supervised Entity Alignment Based on Joint Teaching
Intelligent Question Answering System for Traditional Chinese Classical Costume Based on Knowledge Graphs
Research on the Construction of Network Threat Intelligence Knowledge Graph for APT
Research Hotspot and Frontier of Expression Recognition Based on CiteSpace

Related Author

FANG Rui
CUI Liangzhong
LU Kai
ZHAO Jing
LI Yuhan
ZHANG Junjie
YUAN Hua
SONG Guobao

Related Institution

Naval University of Engineering
Key Laboratory of Computing Power Network and Information Security， Ministry of Education， Shandong Computer Science Center （National Supercomputer Center in Ji’nan）， Qilu University of Technology （Shandong Academy of Sciences）
Shandong Engineering Research Center of Big Data Applied Technology， Faculty of Computer Science and Technology， Qilu University of Technology （Shandong Academy of Sciences）
Shandong Provincial Key Laboratory of Industrial Network and Information System Security， Shandong Fundamental Research Center for Computer Science， Ji'nan
Computer and Artificial Intelligence College， Wuhan Textile University
0