{"id":"https://openalex.org/W4366380422","doi":"https://doi.org/10.1145/3584376.3584507","title":"Site Safety Target Detection With Improved YOLOv5","display_name":"Site Safety Target Detection With Improved YOLOv5","publication_year":2022,"publication_date":"2022-12-16","ids":{"openalex":"https://openalex.org/W4366380422","doi":"https://doi.org/10.1145/3584376.3584507"},"language":"en","primary_location":{"id":"doi:10.1145/3584376.3584507","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3584376.3584507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","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/A5007404886","display_name":"Zilou Li","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zilou Li","raw_affiliation_strings":["Dalian Leicester Institution, Dalian University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Dalian Leicester Institution, Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5007404886"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":0.2038,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.51252062,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"738","last_page":"742"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9894999861717224,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9894999861717224,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9585999846458435,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T14413","display_name":"Advanced Technologies in Various Fields","score":0.9258999824523926,"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/computer-science","display_name":"Computer science","score":0.7373846173286438},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6284334659576416},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5953441262245178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5937144160270691},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.5631206035614014},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4901169240474701},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4415149688720703},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.43806129693984985},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43752753734588623},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4211835265159607},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4153948426246643},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4120199382305145},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37600424885749817},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3411352038383484},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07912087440490723}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7373846173286438},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6284334659576416},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5953441262245178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5937144160270691},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.5631206035614014},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4901169240474701},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4415149688720703},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.43806129693984985},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43752753734588623},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4211835265159607},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4153948426246643},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4120199382305145},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37600424885749817},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3411352038383484},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07912087440490723},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3584376.3584507","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3584376.3584507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2954996726","https://openalex.org/W4247547455"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2038416447","https://openalex.org/W2364151838","https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W3034745255","https://openalex.org/W4254103348","https://openalex.org/W4292830139","https://openalex.org/W3000197790"],"abstract_inverted_index":{"YOLO":[0],"is":[1,34,39,44,94],"an":[2],"object":[3,7],"detection":[4,8,37],"to":[5,20,74,109,126],"redefine":[6],"as":[9],"a":[10,85,105,139],"regression":[11],"problem,":[12],"which":[13],"uses":[14,104],"Mosaic,":[15,58],"Random":[16],"affine":[17],"and":[18,41,62,67,92,122],"MixUp":[19],"enhance":[21],"the":[22,25,28,36,47,50,69,111,114,119,127,130,135],"data.":[23],"However,":[24],"performance":[26],"of":[27,49,113],"model":[29],"trained":[30,95],"on":[31,82,97,138],"small":[32,107,140],"datasets":[33],"poor,":[35],"accuracy":[38],"low,":[40],"practical":[42],"application":[43],"difficult.":[45],"On":[46],"foundation":[48],"initial":[51],"YOLOv5":[52,100,132],"model,":[53],"this":[54,98],"article":[55],"incorporates":[56],"enhanced":[57,131],"HSV":[59],"image":[60],"enhancement,":[61],"Cutout":[63],"data":[64,120],"augmentation":[65,121],"techniques":[66],"upgrades":[68],"original":[70],"CIoU":[71],"loss":[72,76,123],"function":[73],"SIoU":[75],"function.":[77,124],"For":[78],"target":[79],"recognition":[80],"applications":[81],"construction":[83],"sites,":[84],"neural":[86],"network":[87],"for":[88],"detecting":[89],"helmets,":[90],"falls":[91],"fires":[93],"based":[96],"improved":[99],"model.":[101],"This":[102],"paper":[103],"self-built":[106],"dataset":[108,141],"verify":[110],"improvement":[112],"training":[115],"effect":[116],"by":[117,142],"improving":[118],"According":[125],"experimental":[128],"findings,":[129],"algorithm":[133],"beats":[134],"basic":[136],"method":[137],"4.7%.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}