{"id":"https://openalex.org/W4400724613","doi":"https://doi.org/10.3390/s24144630","title":"ODNet: A High Real-Time Network Using Orthogonal Decomposition for Few-Shot Strip Steel Surface Defect Classification","display_name":"ODNet: A High Real-Time Network Using Orthogonal Decomposition for Few-Shot Strip Steel Surface Defect Classification","publication_year":2024,"publication_date":"2024-07-17","ids":{"openalex":"https://openalex.org/W4400724613","doi":"https://doi.org/10.3390/s24144630","pmid":"https://pubmed.ncbi.nlm.nih.gov/39066027"},"language":"en","primary_location":{"id":"doi:10.3390/s24144630","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24144630","pdf_url":"https://www.mdpi.com/1424-8220/24/14/4630/pdf?version=1721212583","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/14/4630/pdf?version=1721212583","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100420147","display_name":"He Zhang","orcid":"https://orcid.org/0000-0003-2304-9387"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Zhang","raw_affiliation_strings":["School of Automation and Information Engineering, Xi\u2019an University of Technology, Xi\u2019an 710048, China","School of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation and Information Engineering, Xi\u2019an University of Technology, Xi\u2019an 710048, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"School of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100448105","display_name":"Han Liu","orcid":"https://orcid.org/0000-0002-6618-1380"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Han Liu","raw_affiliation_strings":["School of Automation and Information Engineering, Xi\u2019an University of Technology, Xi\u2019an 710048, China","School of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China"],"raw_orcid":"https://orcid.org/0000-0002-6618-1380","affiliations":[{"raw_affiliation_string":"School of Automation and Information Engineering, Xi\u2019an University of Technology, Xi\u2019an 710048, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"School of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068577043","display_name":"Runyuan Guo","orcid":"https://orcid.org/0000-0002-7426-3212"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runyuan Guo","raw_affiliation_strings":["School of Automation and Information Engineering, Xi\u2019an University of Technology, Xi\u2019an 710048, China","School of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China"],"raw_orcid":"https://orcid.org/0000-0002-7426-3212","affiliations":[{"raw_affiliation_string":"School of Automation and Information Engineering, Xi\u2019an University of Technology, Xi\u2019an 710048, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"School of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115595532","display_name":"Lili Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lili Liang","raw_affiliation_strings":["School of Automation and Information Engineering, Xi\u2019an University of Technology, Xi\u2019an 710048, China","School of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation and Information Engineering, Xi\u2019an University of Technology, Xi\u2019an 710048, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"School of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103210209","display_name":"Qing Liu","orcid":"https://orcid.org/0000-0003-0120-7102"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Liu","raw_affiliation_strings":["School of Automation and Information Engineering, Xi\u2019an University of Technology, Xi\u2019an 710048, China","School of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China"],"raw_orcid":"https://orcid.org/0000-0003-0120-7102","affiliations":[{"raw_affiliation_string":"School of Automation and Information Engineering, Xi\u2019an University of Technology, Xi\u2019an 710048, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"School of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111172975","display_name":"Wenlu Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104015","display_name":"Shaanxi Xueqian Normal University","ror":"https://ror.org/0146vv083","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104015"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenlu Ma","raw_affiliation_strings":["School of Information Engineering, Shannxi Xueqian Normal University, Xi\u2019an 710100, China","School of Information Engineering, Shannxi Xueqian Normal University, Xi'an 710100, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Shannxi Xueqian Normal University, Xi\u2019an 710100, China","institution_ids":["https://openalex.org/I4210104015"]},{"raw_affiliation_string":"School of Information Engineering, Shannxi Xueqian Normal University, Xi'an 710100, China","institution_ids":["https://openalex.org/I4210104015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100448105"],"corresponding_institution_ids":["https://openalex.org/I4210131919"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.5776,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.84498052,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"24","issue":"14","first_page":"4630","last_page":"4630"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6449074745178223},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.6164254546165466},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.522114634513855},{"id":"https://openalex.org/keywords/single-shot","display_name":"Single shot","score":0.5156022906303406},{"id":"https://openalex.org/keywords/euclidean-geometry","display_name":"Euclidean geometry","score":0.495477557182312},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4828258454799652},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4807819724082947},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.43753740191459656},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.4314803183078766},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.4211123585700989},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3882134258747101},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3412064015865326},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.25939929485321045},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22952595353126526},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.12204426527023315},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.11009958386421204},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.07106062769889832}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6449074745178223},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.6164254546165466},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.522114634513855},{"id":"https://openalex.org/C3019835501","wikidata":"https://www.wikidata.org/wiki/Q1310130","display_name":"Single shot","level":2,"score":0.5156022906303406},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.495477557182312},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4828258454799652},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4807819724082947},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.43753740191459656},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.4314803183078766},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.4211123585700989},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3882134258747101},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3412064015865326},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25939929485321045},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22952595353126526},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.12204426527023315},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.11009958386421204},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.07106062769889832},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s24144630","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24144630","pdf_url":"https://www.mdpi.com/1424-8220/24/14/4630/pdf?version=1721212583","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:39066027","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39066027","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11280595","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11280595","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11280595/pdf/sensors-24-04630.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:edc329f783ef4e4fbb5861410a522672","is_oa":false,"landing_page_url":"https://doaj.org/article/edc329f783ef4e4fbb5861410a522672","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 14, p 4630 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24144630","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24144630","pdf_url":"https://www.mdpi.com/1424-8220/24/14/4630/pdf?version=1721212583","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5299999713897705}],"awards":[{"id":"https://openalex.org/G105734994","display_name":null,"funder_award_id":"62376214","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1149804450","display_name":null,"funder_award_id":"103-451123015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1987556962","display_name":null,"funder_award_id":"2023-JC-YB-533","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4698989410","display_name":null,"funder_award_id":"2024JC-YBQN-0697","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5793673224","display_name":null,"funder_award_id":"23JK0387","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7311272132","display_name":null,"funder_award_id":"62127809","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7835115686","display_name":null,"funder_award_id":"92270117","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8892919414","display_name":null,"funder_award_id":"U2034209","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400724613.pdf"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W2092072518","https://openalex.org/W2139963745","https://openalex.org/W2194775991","https://openalex.org/W2551403519","https://openalex.org/W2604763608","https://openalex.org/W2897689496","https://openalex.org/W2992308087","https://openalex.org/W3012255272","https://openalex.org/W3012374719","https://openalex.org/W3035531117","https://openalex.org/W3037824503","https://openalex.org/W3088101615","https://openalex.org/W3096831136","https://openalex.org/W3099928781","https://openalex.org/W3153037112","https://openalex.org/W3164289800","https://openalex.org/W3199411247","https://openalex.org/W3213886009","https://openalex.org/W3216149859","https://openalex.org/W4200431899","https://openalex.org/W4210510793","https://openalex.org/W4225003213","https://openalex.org/W4226300953","https://openalex.org/W4251273033","https://openalex.org/W4283034434","https://openalex.org/W4283217754","https://openalex.org/W4285287611","https://openalex.org/W4292672491","https://openalex.org/W4295132144","https://openalex.org/W4296193528","https://openalex.org/W4303709937","https://openalex.org/W4312796107","https://openalex.org/W4312951523","https://openalex.org/W4313413180","https://openalex.org/W4313591049","https://openalex.org/W4315434857","https://openalex.org/W4319242194","https://openalex.org/W4321380746","https://openalex.org/W4362734521","https://openalex.org/W4366687390","https://openalex.org/W4383901371","https://openalex.org/W4385555651","https://openalex.org/W4386515304","https://openalex.org/W4386714903","https://openalex.org/W4387052345","https://openalex.org/W4387332419","https://openalex.org/W4387581117","https://openalex.org/W4388286157","https://openalex.org/W4389322684","https://openalex.org/W4390628596","https://openalex.org/W4392309443","https://openalex.org/W4392387004","https://openalex.org/W4392449810","https://openalex.org/W4394786385","https://openalex.org/W4396720971","https://openalex.org/W4399744071","https://openalex.org/W6735236233","https://openalex.org/W6780205758","https://openalex.org/W6848898598","https://openalex.org/W6857762409"],"related_works":["https://openalex.org/W2090152127","https://openalex.org/W2007713238","https://openalex.org/W1965169884","https://openalex.org/W3125580510","https://openalex.org/W2008939113","https://openalex.org/W14679004","https://openalex.org/W2345529346","https://openalex.org/W1566651525","https://openalex.org/W2977652649","https://openalex.org/W2316061288"],"abstract_inverted_index":{"Strip":[0],"steel":[1,54,76,175],"plays":[2],"a":[3,64],"crucial":[4],"role":[5],"in":[6,44,106],"modern":[7],"industrial":[8],"production,":[9],"where":[10],"enhancing":[11],"the":[12,39,50,93,107,115,123,140,151,170],"accuracy":[13],"and":[14,25,86,162],"real-time":[15,66,159],"capabilities":[16],"of":[17,41,52,172],"surface":[18,55,77,176],"defect":[19,27,78,177],"classification":[20,51],"is":[21],"essential.":[22],"However,":[23],"acquiring":[24],"annotating":[26],"samples":[28],"for":[29,73,144],"training":[30],"deep":[31],"learning":[32],"models":[33],"are":[34],"challenging,":[35],"further":[36],"complicated":[37],"by":[38,118],"presence":[40],"redundant":[42,132],"information":[43,105,134],"these":[45,59],"samples.":[46],"These":[47],"issues":[48],"hinder":[49],"strip":[53,75,174],"defects.":[56],"To":[57],"address":[58],"challenges,":[60],"this":[61],"paper":[62],"introduces":[63],"high":[65],"network,":[67],"ODNet":[68,80,156],"(Orthogonal":[69],"Decomposition":[70],"Network),":[71],"designed":[72],"few-shot":[74,173],"classification.":[79,178],"utilizes":[81],"ResNet":[82],"as":[83,122],"its":[84],"backbone":[85],"incorporates":[87],"orthogonal":[88,126,145],"decomposition":[89,127],"technology":[90],"to":[91,101,165],"reduce":[92,131],"feature":[94],"redundancies.":[95],"Furthermore,":[96],"it":[97],"integrates":[98],"skip":[99],"connection":[100],"preserve":[102],"essential":[103],"correlation":[104],"samples,":[108],"preventing":[109],"excessive":[110],"elimination.":[111],"The":[112,125],"model":[113],"optimizes":[114],"parameter":[116],"efficiency":[117],"employing":[119],"Euclidean":[120,141],"distance":[121,142],"classifier.":[124],"not":[128],"only":[129],"helps":[130],"image":[133],"but":[135],"also":[136],"ensures":[137],"compatibility":[138],"with":[139],"requirement":[143],"input.":[146],"Extensive":[147],"experiments":[148],"conducted":[149],"on":[150],"FSC-20":[152],"benchmark":[153],"demonstrate":[154],"that":[155],"achieves":[157],"superior":[158],"performance,":[160],"accuracy,":[161],"generalization":[163],"compared":[164],"alternative":[166],"methods,":[167],"effectively":[168],"addressing":[169],"challenges":[171]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}