Research on Steel Surface Defect Detection Algorithm Based on Global Semantic Guidance and Interactive Fusion Network

Ge Yanliang; Zhong Yuxi; He Min; Bi Hongbo

doi:10.12454/j.jsuese.202500322

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Research on Steel Surface Defect Detection Algorithm Based on Global Semantic Guidance and Interactive Fusion Network

更新时间：2025-11-27

- Research on Steel Surface Defect Detection Algorithm Based on Global Semantic Guidance and Interactive Fusion Network
- “In the field of industrial quality inspection, G2INet technology has significantly improved product quality control and life optimization. This technology effectively improves the accuracy of defect detection by enhancing the perception module and layer by layer fusion guidance module, providing a reliable solution for intelligent industrial quality inspection.”
- Advanced Engineering Sciences Pages: 1-9(2025)
- 作者机构：
  
  1.东北石油大学电气信息工程学院，黑龙江大庆 163318
  2.中国移动通信集团黑龙江有限公司大庆分公司，黑龙江大庆 163318
- 作者简介：
- 基金信息：
- DOI：10.12454/j.jsuese.202500322
  CLC： TP181
- Received：01 May 2025，
  
  Published Online：27 November 2025，
- 稿件说明：
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葛延良,钟玉玺,贺敏等.基于全局语义指导和交互融合网络的钢材表面缺陷检测算法研究[J].工程科学与技术,

Ge Yanliang,Zhong Yuxi,He Min,et al.Research on Steel Surface Defect Detection Algorithm Based on Global Semantic Guidance and Interactive Fusion Network[J].Advanced Engineering Sciences,
葛延良,钟玉玺,贺敏等.基于全局语义指导和交互融合网络的钢材表面缺陷检测算法研究[J].工程科学与技术, DOI：10.12454/j.jsuese.202500322.

Ge Yanliang,Zhong Yuxi,He Min,et al.Research on Steel Surface Defect Detection Algorithm Based on Global Semantic Guidance and Interactive Fusion Network[J].Advanced Engineering Sciences, DOI：10.12454/j.jsuese.202500322.XXXX,XX(XX):1‒9.

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Research on Steel Surface Defect Detection Algorithm Based on Global Semantic Guidance and Interactive Fusion Network

DOI：10.12454/j.jsuese.202500322