An Improved Faster R-CNN for Steel Surface Defect Detection-Reference-Cited by-同舟云学术

An Improved Faster R-CNN for Steel Surface Defect Detection

Published:2022-09-26 Issue: Volume: Page:
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Container-title:2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)
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Author:

Shi Xiancong¹,Zhou Sike¹,Tai Yichun¹,Wang Jinzhong²,Wu Shoucang²,Liu Jinrong²,Xu Kun²,Peng Tao¹,Zhang Zhijiang¹

Affiliation:

1. School of Communication and Information Engineering, Shanghai University,Shanghai,China

2. Metallurgical Baosteel Technical Services Co. LTD,Shanghai,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9948698/9948704/09949350.pdf?arnumber=9949350

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4. An end-to-end steel surface defect detection approach via fusing multiple hierarchical features;yu;IEEE Transactions on Instrumentation and Measurement,2019

5. Statistical discriminator of surface defects on hot rolled steel;djukic;Proc Image Vis Comput,2007

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