{"id":"https://openalex.org/W4387490614","doi":"https://doi.org/10.1109/access.2023.3323588","title":"YOLOv7-WFD: A Novel Convolutional Neural Network Model for Helmet Detection in High-Risk Workplaces","display_name":"YOLOv7-WFD: A Novel Convolutional Neural Network Model for Helmet Detection in High-Risk Workplaces","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387490614","doi":"https://doi.org/10.1109/access.2023.3323588"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3323588","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3323588","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10274981.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10274981.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100410524","display_name":"Jianjun Chen","orcid":"https://orcid.org/0009-0007-9108-4965"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjun Chen","raw_affiliation_strings":["School of Computer Science, Jiangsu University of Science and Technology, Zhenjiang, China"],"raw_orcid":"https://orcid.org/0009-0007-9108-4965","affiliations":[{"raw_affiliation_string":"School of Computer Science, Jiangsu University of Science and Technology, Zhenjiang, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101723283","display_name":"Junning Zhu","orcid":"https://orcid.org/0009-0008-0944-7657"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junning Zhu","raw_affiliation_strings":["School of Computer Science, Jiangsu University of Science and Technology, Zhenjiang, China"],"raw_orcid":"https://orcid.org/0009-0008-0944-7657","affiliations":[{"raw_affiliation_string":"School of Computer Science, Jiangsu University of Science and Technology, Zhenjiang, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100393951","display_name":"Zhuang Li","orcid":"https://orcid.org/0000-0002-9531-420X"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuang Li","raw_affiliation_strings":["School of Computer Science, Jiangsu University of Science and Technology, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Jiangsu University of Science and Technology, Zhenjiang, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030350248","display_name":"Xibei Yang","orcid":"https://orcid.org/0000-0001-9708-1027"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xibei Yang","raw_affiliation_strings":["School of Computer Science, Jiangsu University of Science and Technology, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Jiangsu University of Science and Technology, Zhenjiang, China","institution_ids":["https://openalex.org/I4210096899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210096899"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":5.5821,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.96318715,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"113580","last_page":"113592"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10809","display_name":"Occupational Health and Safety Research","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10809","display_name":"Occupational Health and Safety Research","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9642999768257141,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.797547459602356},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7589194774627686},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.7073180675506592},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6110513210296631},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.592261552810669},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.541225790977478},{"id":"https://openalex.org/keywords/activation-function","display_name":"Activation function","score":0.5112442970275879},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44202721118927},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36792653799057007},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.34287017583847046},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09928631782531738}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.797547459602356},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7589194774627686},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7073180675506592},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6110513210296631},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.592261552810669},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.541225790977478},{"id":"https://openalex.org/C38365724","wikidata":"https://www.wikidata.org/wiki/Q4677469","display_name":"Activation function","level":3,"score":0.5112442970275879},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44202721118927},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36792653799057007},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.34287017583847046},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09928631782531738},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3323588","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3323588","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10274981.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d8d24c08724a47e2b9e5e202f27c28bc","is_oa":true,"landing_page_url":"https://doaj.org/article/d8d24c08724a47e2b9e5e202f27c28bc","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":"IEEE Access, Vol 11, Pp 113580-113592 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3323588","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3323588","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10274981.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G640233089","display_name":null,"funder_award_id":"62076111","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7500984317","display_name":null,"funder_award_id":"17KJB520007","funder_id":"https://openalex.org/F4320327891","funder_display_name":"Major Basic Research Project of the Natural Science Foundation of the Jiangsu Higher Education Institutions"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321410","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30"},{"id":"https://openalex.org/F4320321954","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885"},{"id":"https://openalex.org/F4320322535","display_name":"Shanxi Datong University","ror":"https://ror.org/03s8xc553"},{"id":"https://openalex.org/F4320323191","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62"},{"id":"https://openalex.org/F4320324852","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760"},{"id":"https://openalex.org/F4320327500","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878"},{"id":"https://openalex.org/F4320327891","display_name":"Major Basic Research Project of the Natural Science Foundation of the Jiangsu Higher Education Institutions","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387490614.pdf","grobid_xml":"https://content.openalex.org/works/W4387490614.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1976017491","https://openalex.org/W2000629924","https://openalex.org/W2031489346","https://openalex.org/W2183182206","https://openalex.org/W2336589871","https://openalex.org/W2809600522","https://openalex.org/W2954906602","https://openalex.org/W2987322772","https://openalex.org/W3006058774","https://openalex.org/W3016459264","https://openalex.org/W3083779147","https://openalex.org/W3131866082","https://openalex.org/W3156100009","https://openalex.org/W3162477622","https://openalex.org/W3173253524","https://openalex.org/W4282935002","https://openalex.org/W4285064815","https://openalex.org/W4293424548","https://openalex.org/W4306362229","https://openalex.org/W4309284213","https://openalex.org/W4318255578","https://openalex.org/W4319442200","https://openalex.org/W4365600547","https://openalex.org/W4372279253","https://openalex.org/W4376958483","https://openalex.org/W4378901829","https://openalex.org/W4381938474","https://openalex.org/W4382204431","https://openalex.org/W4386076222","https://openalex.org/W4386076325","https://openalex.org/W6840092583","https://openalex.org/W6849535052","https://openalex.org/W6851569648"],"related_works":["https://openalex.org/W3110577345","https://openalex.org/W2946235959","https://openalex.org/W2902935192","https://openalex.org/W3134817226","https://openalex.org/W2953716828","https://openalex.org/W2904857019","https://openalex.org/W2944728705","https://openalex.org/W3011538607","https://openalex.org/W2806426850","https://openalex.org/W4297795098"],"abstract_inverted_index":{"In":[0],"the":[1,19,49,71,96,111,137,146,159,162,168,175,179,183,186,190],"construction":[2],"industry,":[3],"it":[4],"is":[5,46,67,103,126,134],"common":[6],"occurrence":[7],"for":[8,22,48],"head":[9],"injuries":[10],"caused":[11],"by":[12],"workers":[13,52],"not":[14],"wearing":[15],"a":[16,59,83,86,91,127,194,199],"helmet.":[17],"However,":[18],"current":[20],"models":[21],"detecting":[23],"safety":[24],"helmet":[25],"either":[26],"have":[27],"insufficient":[28,32],"detection":[29,50],"accuracy":[30,152],"or":[31],"generalization":[33,147,180],"ability.":[34],"For":[35],"this":[36,56,65],"reason,":[37],"an":[38],"improved":[39,191],"convolutional":[40],"neural":[41],"network":[42],"model,":[43],"called":[44,62],"YOLOv7-WFD,":[45],"proposed":[47,68],"of":[51,73,82,99,149,153,161,171,182,196,201],"without":[53],"helmets":[54],"in":[55,64,174],"paper.":[57],"Firstly,":[58],"new":[60],"module":[61,80,102],"DBS":[63],"paper":[66],"to":[69,75,105,114,140],"strengthen":[70],"ability":[72,113,181],"model":[74,150],"extract":[76],"target":[77],"features.":[78],"This":[79],"consists":[81],"Deformable":[84],"Convolutional,":[85],"Batch":[87],"Normalization":[88],"layer":[89],"and":[90,117,151,166,177,198],"SiLU":[92],"activation":[93],"function.":[94],"Secondly,":[95],"Content-Aware":[97],"ReAssembly":[98],"Features":[100],"(CARAFE)":[101],"introduced":[104],"perceive":[106],"effective":[107],"features,":[108],"which":[109,125,144],"improves":[110],"model\u2019s":[112],"reconstruct":[115],"details":[116],"structural":[118],"information":[119],"during":[120],"image":[121],"up-sampling.":[122],"Thirdly,":[123],"Wise-IoU,":[124],"loss":[128,138],"function":[129,139],"with":[130],"dynamic":[131],"focusing":[132],"mechanism,":[133],"adopted":[135],"as":[136],"calculate":[141],"localization":[142],"loss,":[143],"enhances":[145],"capability":[148],"detection.":[154],"Wise-IoU":[155],"also":[156],"can":[157],"evaluate":[158],"\"outlier\"":[160],"anchor":[163],"box":[164],"quality,":[165],"attenuate":[167],"negative":[169],"impact":[170],"low-quality":[172],"samples":[173],"dataset":[176],"enhance":[178],"model.":[184],"Finally,":[185],"experiment":[187],"shows":[188],"that":[189],"YOLOv7-WFD":[192],"achieves":[193],"mAP":[195],"92.6%":[197],"FPS":[200],"79.3":[202],"when":[203],"tested":[204],"on":[205],"SHEL5K":[206],"dataset.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
