您当前的位置:
首页 >
文章列表页 >
Multi-scale spatial sensing anomaly detection network guided by high frequency
Information Sciences | 更新时间:2026-01-29
    • Multi-scale spatial sensing anomaly detection network guided by high frequency

    • The latest research breaks through the difficulty of industrial anomaly detection and proposes a detection network that integrates high-frequency residuals and multi-scale attention, significantly improving the accuracy of small defect detection and anomaly segmentation.
    • Optics and Precision Engineering   Vol. 34, Issue 2, Pages: 296-308(2026)
    • DOI:10.37188/OPE.20263402.0296    

      CLC: TH39;TP391.4
    • CSTR:32169.14.OPE.20263402.0296    
    • Received:17 September 2025

      Revised:2025-10-19

      Published:25 January 2026

    移动端阅览

  • ZHANG Chentao,ZOU Qinglin,LIU Yang,et al.Multi-scale spatial sensing anomaly detection network guided by high frequency[J].Optics and Precision Engineering,2026,34(02):296-308.

  •  
  •  

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

Gaussian cross-based feature fusion method for hyperspectral image classification
Underwater image enhancement network based on improved U-Net with global feature fusion
Lightweight road crack detection method with adaptive features
Real-time image semantic segmentation based on three-branch network
Edge detection network based on transformer

Related Author

WANG Wenlong
WANG Hairong
YI Zhihang
YANG Zhenye
YANG Jianling
GAO Shaoshu
JIAO Guangsen
LI Guangfeng

Related Institution

College of Computer Science and Engineering, North Minzu University
Ningxia Key Laboratory of Meteorological Disaster Prevention and Reduction (Ningxia Institute of Meteorological Sciences)
Qingdao Institute of Software, College of Computer Science and Technology, Shandong Key Laboratory of Intelligent Oil & Gas Industrial Software, China University of Petroleum (East China)
Petroleum Industry Training Center, China University of Petroleum (East China)
School of Information and Software Engineering, East China Jiaotong University
0