{"id":"https://openalex.org/W4387335379","doi":"https://doi.org/10.3389/fnbot.2023.1263739","title":"Strip steel surface defect detection based on lightweight YOLOv5","display_name":"Strip steel surface defect detection based on lightweight YOLOv5","publication_year":2023,"publication_date":"2023-10-04","ids":{"openalex":"https://openalex.org/W4387335379","doi":"https://doi.org/10.3389/fnbot.2023.1263739","pmid":"https://pubmed.ncbi.nlm.nih.gov/37860791"},"language":"en","primary_location":{"id":"doi:10.3389/fnbot.2023.1263739","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fnbot.2023.1263739","pdf_url":"https://www.frontiersin.org/articles/10.3389/fnbot.2023.1263739/pdf?isPublishedV2=False","source":{"id":"https://openalex.org/S115606517","display_name":"Frontiers in Neurorobotics","issn_l":"1662-5218","issn":["1662-5218"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Neurorobotics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/articles/10.3389/fnbot.2023.1263739/pdf?isPublishedV2=False","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100714501","display_name":"Yongping Zhang","orcid":"https://orcid.org/0000-0002-3458-2040"},"institutions":[{"id":"https://openalex.org/I4210157719","display_name":"Yancheng Institute of Technology","ror":"https://ror.org/04y8njc86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210157719"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongping Zhang","raw_affiliation_strings":["School of Information Engineering, Yancheng Institute of Technology, Yancheng, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Yancheng Institute of Technology, Yancheng, China","institution_ids":["https://openalex.org/I4210157719"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064079330","display_name":"Sijie Shen","orcid":"https://orcid.org/0000-0003-4650-7352"},"institutions":[{"id":"https://openalex.org/I4210157719","display_name":"Yancheng Institute of Technology","ror":"https://ror.org/04y8njc86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210157719"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sijie Shen","raw_affiliation_strings":["School of Information Engineering, Yancheng Institute of Technology, Yancheng, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Yancheng Institute of Technology, Yancheng, China","institution_ids":["https://openalex.org/I4210157719"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101567077","display_name":"Sen Xu","orcid":"https://orcid.org/0000-0002-0207-3719"},"institutions":[{"id":"https://openalex.org/I4210157719","display_name":"Yancheng Institute of Technology","ror":"https://ror.org/04y8njc86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210157719"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sen Xu","raw_affiliation_strings":["School of Information Engineering, Yancheng Institute of Technology, Yancheng, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Yancheng Institute of Technology, Yancheng, China","institution_ids":["https://openalex.org/I4210157719"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100714501"],"corresponding_institution_ids":["https://openalex.org/I4210157719"],"apc_list":{"value":3295,"currency":"USD","value_usd":3295},"apc_paid":{"value":3295,"currency":"USD","value_usd":3295},"fwci":4.1442,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":{"value":0.94087154,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"17","issue":null,"first_page":"1263739","last_page":"1263739"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8487036228179932},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5286234617233276},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5074889063835144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47149035334587097},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4294384717941284},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.42878690361976624},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4181819558143616},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.41359859704971313},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4068187177181244},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1571480929851532},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08625781536102295}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8487036228179932},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5286234617233276},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5074889063835144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47149035334587097},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4294384717941284},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.42878690361976624},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4181819558143616},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.41359859704971313},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4068187177181244},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1571480929851532},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08625781536102295},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/fnbot.2023.1263739","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fnbot.2023.1263739","pdf_url":"https://www.frontiersin.org/articles/10.3389/fnbot.2023.1263739/pdf?isPublishedV2=False","source":{"id":"https://openalex.org/S115606517","display_name":"Frontiers in Neurorobotics","issn_l":"1662-5218","issn":["1662-5218"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Neurorobotics","raw_type":"journal-article"},{"id":"pmid:37860791","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37860791","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":"Frontiers in neurorobotics","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10582940","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10582940","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10582940/pdf/fnbot-17-1263739.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":"Front Neurorobot","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:80fc0b60af4041fe94fb30061f9a1138","is_oa":true,"landing_page_url":"https://doaj.org/article/80fc0b60af4041fe94fb30061f9a1138","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Neurorobotics, Vol 17 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3389/fnbot.2023.1263739","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fnbot.2023.1263739","pdf_url":"https://www.frontiersin.org/articles/10.3389/fnbot.2023.1263739/pdf?isPublishedV2=False","source":{"id":"https://openalex.org/S115606517","display_name":"Frontiers in Neurorobotics","issn_l":"1662-5218","issn":["1662-5218"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Neurorobotics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.6299999952316284}],"awards":[{"id":"https://openalex.org/G7800655536","display_name":null,"funder_award_id":"62076215","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"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4387335379.pdf"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2944303778","https://openalex.org/W2950946295","https://openalex.org/W2951975363","https://openalex.org/W2955425717","https://openalex.org/W2962766617","https://openalex.org/W2963857746","https://openalex.org/W2982083293","https://openalex.org/W2997747012","https://openalex.org/W3016489761","https://openalex.org/W3018757597","https://openalex.org/W3034552520","https://openalex.org/W3122173535","https://openalex.org/W3137333070","https://openalex.org/W3163646131","https://openalex.org/W3166716987","https://openalex.org/W3174841041","https://openalex.org/W3184439416","https://openalex.org/W3209914922","https://openalex.org/W3215916782","https://openalex.org/W4200634144","https://openalex.org/W4281679836","https://openalex.org/W4281790833","https://openalex.org/W4285109947","https://openalex.org/W4316039570","https://openalex.org/W4317796687","https://openalex.org/W4319753191","https://openalex.org/W4320487943","https://openalex.org/W4320723737","https://openalex.org/W4381849166","https://openalex.org/W6628973269","https://openalex.org/W6675026286","https://openalex.org/W6730903564","https://openalex.org/W6735463952","https://openalex.org/W6740895961","https://openalex.org/W6743731764","https://openalex.org/W6791472037","https://openalex.org/W6796538260"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2027972911","https://openalex.org/W2146343568","https://openalex.org/W2013643406","https://openalex.org/W3157543420","https://openalex.org/W2351938575","https://openalex.org/W2388359778"],"abstract_inverted_index":{"Deep":[0],"learning-based":[1],"methods":[2],"for":[3],"detecting":[4],"surface":[5,51],"defects":[6],"on":[7,56,75,147],"strip":[8,49],"steel":[9,50],"have":[10],"advanced":[11],"detection":[12,29,32,42,53,90,106,161],"capabilities,":[13],"but":[14],"there":[15],"are":[16],"still":[17],"problems":[18],"of":[19,85,120,128,157,164,189],"target":[20],"loss,":[21],"false":[22],"alarms,":[23],"large":[24],"computation,":[25],"and":[26,31,44,88,131,151,182],"imbalance":[27],"between":[28,41],"accuracy":[30,43,155],"speed.":[33,91],"In":[34],"order":[35],"to":[36,104,124,135],"achieve":[37],"a":[38,46,96,160],"good":[39],"balance":[40],"speed,":[45],"lightweight":[47,65],"YOLOv5":[48,143,174],"defect":[52],"algorithm":[54,140],"based":[55,74],"YOLOv5s":[57],"is":[58,168,183],"proposed.":[59],"Firstly,":[60],"we":[61,93,109],"introduce":[62],"the":[63,78,83,101,111,115,121,126,138,142,148,173,187,190],"efficient":[64],"convolutional":[66],"layer":[67],"called":[68],"GSConv.":[69],"The":[70,176],"Slim":[71],"Neck,":[72],"designed":[73],"GSConv,":[76],"replaces":[77],"original":[79,122],"algorithm's":[80],"neck,":[81],"reducing":[82],"number":[84],"network":[86],"parameters":[87],"improving":[89],"Secondly,":[92],"incorporate":[94],"SimAM,":[95],"non-parametric":[97],"attention":[98],"mechanism,":[99],"into":[100],"improved":[102],"neck":[103],"enhance":[105],"accuracy.":[107],"Finally,":[108],"utilize":[110],"SIoU":[112],"function":[113],"as":[114],"regression":[116],"prediction":[117],"loss":[118],"instead":[119],"CIoU":[123],"address":[125],"issue":[127],"slow":[129],"convergence":[130],"improve":[132],"efficiency.":[133],"According":[134],"experimental":[136],"findings,":[137],"YOLOv5-GSS":[139],"outperforms":[141,179],"method":[144],"by":[145],"2.9%":[146],"NEU-DET":[149],"dataset":[150],"achieves":[152],"an":[153],"average":[154],"(mAP)":[156],"83.8%":[158],"with":[159],"speed":[162],"(FPS)":[163],"100":[165],"Hz,":[166],"which":[167],"3.8":[169],"Hz":[170],"quicker":[171],"than":[172],"algorithm.":[175],"proposed":[177],"model":[178],"existing":[180],"approaches":[181],"more":[184],"useful,":[185],"demonstrating":[186],"efficacy":[188],"optimization":[191],"strategy.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
