Surface Defects Classification of Hot Rolled Strip Based on Few-shot Learning-Reference-Cited by-同舟云学术

Surface Defects Classification of Hot Rolled Strip Based on Few-shot Learning

Published:2022-06-15 Issue:6 Volume:62 Page:1222-1226
ISSN:0915-1559
Container-title:ISIJ International
language:en
Short-container-title:ISIJ Int.

Author:

Wang Wenyan¹,Wu Ziheng²,Lu Kun²,Long Hongming²,Li Dan¹,Zhang Jun³,Chen Peng⁴,Wang Bing⁵

Affiliation:

1. School of Electrical and Information Engineering, Anhui University of Technology

2. Key Laboratory of Metallurgical Emission Reduction & Resources Recycling (Anhui University of Technology)

3. School of Electrical Engineering and Automation, Anhui University

4. National Engineering Research Center for Agro-Ecological Big Data Analysis & Application, School of Internet & Institutes of Physical Science and Information Technology, Anhui University

5. Key Laboratory of Power Electronics and Motion Control Anhui Education Department, Anhui University of Technology

Publisher

Iron and Steel Institute of Japan

Subject

Materials Chemistry,Metals and Alloys,Mechanical Engineering,Mechanics of Materials

Link

https://www.jstage.jst.go.jp/article/isijinternational/62/6/62_ISIJINT-2021-051/_pdf

Reference22 articles.

1. 1) D. He, K. Xu, P. Zhou and D. Zhou: Opt. Lasers Eng., 117 (2019), 40. https://doi.org/10.1016/j.optlaseng.2019.01.011

2. 2) I. Konovalenko, P. Maruschak, J. Brezinová, J. Viňáš and J. Brezina: Metals, 10 (2020), 846. https://doi.org/10.3390/met10060846

3. 3) P. Kostenetskiy, R. Alkapov, N. Vetoshkin, R. Chulkevich, I. Napolskikh and O. Poponin: FME Trans., 47 (2019), 765. https://doi.org/10.5937/fmet1904765K

4. 4) C. Wang, Y. T. Liu, Y. N. Yang, X. Y. Xu and T. Zhang: 2nd Int. Conf. on Infromatics, Control and Automation (ICA 2019), DEStech Publications, Inc., Lancaster, (2019), 375. https://doi.org/10.12783/dtcse/ica2019/30756

5. 5) L. Yi, G. Li and M. Jiang: Steel Res. Int., 88 (2017), 1600068. https://doi.org/10.1002/srin.201600068

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ODNet: A High Real-Time Network Using Orthogonal Decomposition for Few-Shot Strip Steel Surface Defect Classification;Sensors;2024-07-17

2. Resformer-Unet: A U-shaped Framework Combining ResNet and Transformer for Segmentation of Strip Steel Surface Defects;ISIJ International;2024-01-15

3. Systematic Review of Steel Surface Defect Detection Methods on the Open Access Datasets of Severstal and the Northeastern University (NEU);Engineering Materials;2024

4. FCCNet: Surface Defects Identification of Hot Rolled Strip Based on Lightweight Convolutional Neural Network;ISIJ International;2023-12-15

5. Automatic recognition and intelligent analysis of central shrinkage defects of continuous casting billets based on deep learning;Journal of Iron and Steel Research International;2023-03-30