Steel Surface Defect Detection Based on FF R-CNN

A Faster R-CNN steel surface defect detection algorithm based on feature fusion and cascade detection network was proposed to solve the problem of low detection accuracy caused by reduced structure information when Deep Learning algorithm was used to detect steel surface defects. The improved Faster...

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Bibliographic Details
Main Authors: Qiang HAN, Zhe ZHANG, Xinying XU, Xinlin XIE
Format: Article
Language:English
Published: Editorial Office of Journal of Taiyuan University of Technology 2021-09-01
Series:Taiyuan Ligong Daxue xuebao
Subjects:
Online Access:https://tyutjournal.tyut.edu.cn/englishpaper/show-326.html