您当前的位置:
首页 >
文章列表页 >
Steel Surface Defect Detection Method Based on Semi-Supervised Learning
Graphic and Image Processing | 更新时间:2026-05-27
    • Steel Surface Defect Detection Method Based on Semi-Supervised Learning

    • Software Guide   Vol. 25, Issue 5, Pages: 168-176(2026)
    • DOI:10.11907/rjdk.251107    

      CLC: TP301
    • Received:25 March 2025,

      Published:15 May 2026

    移动端阅览

  • CAO Keyan,ZHU Yuandi,WANG Xinlei,et al.Steel Surface Defect Detection Method Based on Semi-Supervised Learning[J].Software Guide,2026,25(05):168-176. DOI: 10.11907/rjdk.251107.

  •  
  •  

0

Views

1

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

Cross-domain Sentiment Analysis Based on Gradient Data Selection
Chinese Medical Named Entity Recognition Based on Semi-Supervised Learning and RoBERTa Multi-layer Representation Fusion
Entity Identification Based on Semi-supervised Learning and CRF
YOLOv8 Based on EMA and Swin-Transformer for Apple Detection
A Study on the Abstract Generation Method for Academic Lecture Posters Based on Large Language Models

Related Author

SU Yi
ZHOU Xia-bing
ZHANG Shuai
GAO Xiao-yuan
YANG Tao
LIU Jie
LIU Tong
WEI Jing

Related Institution

School of Computer Science and Technology, Soochow University
School of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine
University of Chinese Academy of Sciences,Nanjing
College of Computer Science and Engineering, Shandong University of Science and Technology
0