Single-Class Detection Method for Bar Material Surface Defects Based on Self-Supervised Learning-Reference-Cited by-同舟云学术

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Single-Class Detection Method for Bar Material Surface Defects Based on Self-Supervised Learning

Published:2024-06-07 Issue: Volume:27 Page:1665-1672
ISSN:
Container-title:2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC)
language:
Short-container-title:

Author:

Li Zhiqing¹,Li Jiaqi¹

Affiliation:

1. Beijing University of Chemical Technology,College of Information Science and Technology,Beijing,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10598401/10598402/10598569.pdf?arnumber=10598569

Reference22 articles.

1. Application and Development Trend of Steel in the Construction Industry [J];Wei;Building Materials Technology,2018

2. Application Analysis of Metal Materials in the Manufacturing Industry [J];Hua;Metalworking,2020

3. Research on the Application of Materials in Rail Transit [J];Qiang;Transportation Technology,2019

4. Application of Metal Materials in the Electric Power and Communication Industries [J];Gang;Modern Industry,2021

5. Application of Special Metal Materials in Modern Industry [J];Feng;High Technology,2022

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