Object Detection and Industrial Applications | Views : 0 下载量: 54 CSCD: 0
  • Export

  • Share

  • Collection

  • Album

    • Multimodal zero-shot anomaly detection using dual-experts for electrical power equipment inspection images

    • In the field of image defect detection for power equipment inspection, experts have proposed a zero sample defect detection model based on visual language model, which effectively improves the accuracy of defect detection and provides a new solution for the safe operation of the power grid.
    • Vol. 30, Issue 3, Pages: 672-682(2025)   

      Received:11 May 2024

      Revised:13 August 2024

      Published:16 March 2025

    • DOI: 10.11834/jig.240246     

    移动端阅览

  • Wu Hua, Jia Donghao, Zhang Tingting, Bai Xiaojing, Sun Li, Pu Mengyang. 2025. Multimodal zero-shot anomaly detection using dual-experts for electrical power equipment inspection images. Journal of Image and Graphics, 30(03):0672-0682 DOI: 10.11834/jig.240246.
  •  
  •  
Alert me when the article has been cited
提交

相关作者

Guan Jihong 同济大学计算机科学与技术学院
Yan Jun 同济大学计算机科学与技术学院
Zhou Jiaogen 淮阴师范学院地理科学与规划学院
Wang Yang 同济大学计算机科学与技术学院;淮阴师范学院地理科学与规划学院
Zhang Xiaopeng 中国科学院自动化研究所多模态人工智能系统全国重点实验室;中国科学院大学人工智能学院
Zhang Jiguang 中国科学院自动化研究所多模态人工智能系统全国重点实验室;中国科学院大学人工智能学院
Guo Jianwei 中国科学院自动化研究所多模态人工智能系统全国重点实验室;中国科学院大学人工智能学院
Jia Mingda 中国科学院自动化研究所多模态人工智能系统全国重点实验室;中国科学院大学人工智能学院

相关机构

School of Geography and Planning, Huaiyin Normal University, Huaian
School of Computer Science and Technology National, Tongji University
School of Artificial Intelligence, University of Chinese Academy of Sciences
State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences
Key Laboratory of Water Resources Big Data, Ministry of Water Resources (Hohai University)
0