An End-to-End Steel Strip Surface Defects Recognition System Based on Convolutional Neural Networks-Reference-Cited by-同舟云学术

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An End-to-End Steel Strip Surface Defects Recognition System Based on Convolutional Neural Networks

Published:2016-04-13 Issue:2 Volume:88 Page:1600068
ISSN:1611-3683
Container-title:steel research international
language:en
Short-container-title:steel research int.

Author:

Yi Li¹,Li Guangyao¹,Jiang Mingming¹

Affiliation:

1. College of Electronics and Information Engineering; Tongji University; Shanghai 201804 PR China

Funder

Baosteel Group and Baosight Software Company

Publisher

Wiley

Subject

Materials Chemistry,Metals and Alloys,Physical and Theoretical Chemistry,Condensed Matter Physics

Reference25 articles.

1. A comparison of adaptive control strategies for hot steel strip rolling mills

2. B. Tang J. Y. Kong X. D. Wang L. Chen 2009 359

3. Strip Steel Defect Detection Based on Saliency Map Construction Using Gaussian Pyramid Decomposition

4. M. Sharifzadeh S. Alirezaee R. Amirfattahi S. Sadri 2008 125

5. H. Jia Y.L. Murphey J. Shi T.-S. Chang 2004 239

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