{"id":"https://openalex.org/W3163597115","doi":"https://doi.org/10.1109/icpr48806.2021.9412103","title":"Construction worker hardhat-wearing detection based on an improved BiFPN","display_name":"Construction worker hardhat-wearing detection based on an improved BiFPN","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3163597115","doi":"https://doi.org/10.1109/icpr48806.2021.9412103","mag":"3163597115"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9412103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412103","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101776977","display_name":"Chenyang Zhang","orcid":"https://orcid.org/0000-0003-3963-2817"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyang Zhang","raw_affiliation_strings":["School of Software Engineering, Xi'an Jiaotong Unversity, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi'an Jiaotong Unversity, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020301327","display_name":"Zhiqiang Tian","orcid":"https://orcid.org/0000-0002-3669-3748"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Tian","raw_affiliation_strings":["School of Software Engineering, Xi'an Jiaotong Unversity, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi'an Jiaotong Unversity, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101465524","display_name":"Jingyi Song","orcid":"https://orcid.org/0000-0002-6598-8107"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyi Song","raw_affiliation_strings":["School of Software Engineering, Xi'an Jiaotong Unversity, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi'an Jiaotong Unversity, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008470652","display_name":"Yaoyue Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaoyue Zheng","raw_affiliation_strings":["School of Software Engineering, Xi'an Jiaotong Unversity, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi'an Jiaotong Unversity, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100439920","display_name":"Bo Xu","orcid":"https://orcid.org/0000-0001-6049-8005"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Xu","raw_affiliation_strings":["School of Software Engineering, Xi'an Jiaotong Unversity, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi'an Jiaotong Unversity, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8600","last_page":"8607"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10809","display_name":"Occupational Health and Safety Research","score":0.996399998664856,"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":0.996399998664856,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9697999954223633,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.942300021648407,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/generalizability-theory","display_name":"Generalizability theory","score":0.7992355227470398},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7533153295516968},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.7207540273666382},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6944338083267212},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.6250427961349487},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.599262535572052},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5691231489181519},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5609214901924133},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.532513439655304},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.459171324968338},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44414281845092773},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.42440804839134216},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33679038286209106},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16907283663749695}],"concepts":[{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.7992355227470398},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7533153295516968},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.7207540273666382},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6944338083267212},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.6250427961349487},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.599262535572052},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5691231489181519},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5609214901924133},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.532513439655304},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.459171324968338},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44414281845092773},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.42440804839134216},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33679038286209106},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16907283663749695},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr48806.2021.9412103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412103","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7400000095367432}],"awards":[{"id":"https://openalex.org/G8178970076","display_name":null,"funder_award_id":"61876148","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1889081078","https://openalex.org/W1989730063","https://openalex.org/W2015157914","https://openalex.org/W2054484383","https://openalex.org/W2085765671","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2125556102","https://openalex.org/W2137401668","https://openalex.org/W2144506857","https://openalex.org/W2144560128","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2164641162","https://openalex.org/W2220956410","https://openalex.org/W2278548123","https://openalex.org/W2333181379","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2578179458","https://openalex.org/W2613718673","https://openalex.org/W2735042944","https://openalex.org/W2761891891","https://openalex.org/W2796347433","https://openalex.org/W2803429134","https://openalex.org/W2888728082","https://openalex.org/W2892706339","https://openalex.org/W2894878591","https://openalex.org/W2906994126","https://openalex.org/W2908703502","https://openalex.org/W2936599103","https://openalex.org/W2953106684","https://openalex.org/W2958657326","https://openalex.org/W2962766617","https://openalex.org/W2963037989","https://openalex.org/W2963351448","https://openalex.org/W2963770292","https://openalex.org/W2963857746","https://openalex.org/W2963881378","https://openalex.org/W2964444661","https://openalex.org/W3034971973","https://openalex.org/W3106250896","https://openalex.org/W4293584584","https://openalex.org/W6620707391","https://openalex.org/W6639432524","https://openalex.org/W6681343693","https://openalex.org/W6683984541","https://openalex.org/W6694912928","https://openalex.org/W6750227808","https://openalex.org/W6754997276","https://openalex.org/W6764024669","https://openalex.org/W6770600958"],"related_works":["https://openalex.org/W2118717649","https://openalex.org/W2357124094","https://openalex.org/W410723623","https://openalex.org/W2413243053","https://openalex.org/W2015341305","https://openalex.org/W4225593417","https://openalex.org/W2035068594","https://openalex.org/W2573498121","https://openalex.org/W3205445068","https://openalex.org/W3134004915"],"abstract_inverted_index":{"Work":[0],"in":[1,25,35,66],"the":[2,11,14,30,45,48,53,94,137,140,146],"construction":[3,26,36,49],"site":[4,37],"is":[5,38],"considered":[6],"to":[7,39,100],"be":[8],"one":[9],"of":[10,29,47,52,68,98,139,152],"occupations":[12],"with":[13],"highest":[15],"safety":[16,20,33,46],"risk":[17],"factor.":[18],"Therefore,":[19],"plays":[21],"an":[22,109],"important":[23],"role":[24],"site.":[27],"One":[28],"most":[31,51],"fundamental":[32],"rules":[34],"wear":[40],"a":[41,77,89,150,160],"hardhat.":[42,141],"To":[43],"strengthen":[44],"site,":[50],"current":[54],"methods":[55,63,158],"use":[56],"multi-stage":[57],"method":[58,81,128,148],"for":[59],"hardhat-wearing":[60],"detection.":[61],"These":[62],"have":[64],"limitations":[65],"terms":[67],"adaptability":[69],"and":[70],"generalizability.":[71],"In":[72,105],"this":[73],"paper,":[74],"we":[75,107],"propose":[76,108],"one-stage":[78],"object":[79],"detection":[80],"based":[82],"on":[83,159],"convolutional":[84],"neural":[85],"network.":[86],"We":[87],"present":[88],"multi-scale":[90],"strategy":[91],"that":[92,145],"selects":[93],"high-resolution":[95],"feature":[96,113],"maps":[97],"DarkNet-53":[99],"effectively":[101],"identify":[102,136],"small-scale":[103],"hardhats.":[104],"addition,":[106],"improved":[110],"weighted":[111],"bi-directional":[112],"pyramid":[114],"network":[115],"(BiFPN),":[116],"which":[117,154],"could":[118],"fuse":[119],"more":[120,124],"semantic":[121],"features":[122],"from":[123],"scales.":[125],"The":[126],"proposed":[127,147],"can":[129],"not":[130],"only":[131],"detect":[132],"hardhat-wearing,":[133],"but":[134],"also":[135],"color":[138],"Experimental":[142],"results":[143],"show":[144],"achieves":[149],"mAP":[151],"87.04%,":[153],"outperforms":[155],"several":[156],"state-of-the-art":[157],"public":[161],"dataset.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
