Research on a Classification Method for Strip Steel Surface Defects Based on Knowledge Distillation...
Research on a Classification Method for Strip Steel Surface Defects Based on Knowledge Distillation and a Self-Adaptive Residual Shrinkage Network
About this item
Full title
Author / Creator
Huang, Xinbo , Song, Zhiwei , Ji, Chao , Zhang, Ye and Yang, Luya
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
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Scope and Contents
Contents
Different types of surface defects will occur during the production of strip steel. To ensure production quality, it is essential to classify these defects. Our research indicates that two main problems exist in the existing strip steel surface defect classification methods: (1) they cannot solve the problem of unbalanced data using few-shot in rea...
Alternative Titles
Full title
Research on a Classification Method for Strip Steel Surface Defects Based on Knowledge Distillation and a Self-Adaptive Residual Shrinkage Network
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_c6091e95724840b08ca24bc26b0b846f
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c6091e95724840b08ca24bc26b0b846f
Other Identifiers
ISSN
1999-4893
E-ISSN
1999-4893
DOI
10.3390/a16110516
