{"id":"https://openalex.org/W2987361511","doi":"https://doi.org/10.1155/2019/3679203","title":"A Multibranch Object Detection Method for Traffic Scenes","display_name":"A Multibranch Object Detection Method for Traffic Scenes","publication_year":2019,"publication_date":"2019-11-11","ids":{"openalex":"https://openalex.org/W2987361511","doi":"https://doi.org/10.1155/2019/3679203","mag":"2987361511","pmid":"https://pubmed.ncbi.nlm.nih.gov/31814818"},"language":"en","primary_location":{"id":"doi:10.1155/2019/3679203","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2019/3679203","pdf_url":"https://downloads.hindawi.com/journals/cin/2019/3679203.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cin/2019/3679203.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010627630","display_name":"Jiangfan Feng","orcid":"https://orcid.org/0000-0002-9155-1865"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangfan Feng","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications, Space Big Data Intelligent Technology Chongqing Engineering Research Center, School of Computer Science and Technology, Chongqing 400065, China"],"raw_orcid":"https://orcid.org/0000-0002-9155-1865","affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications, Space Big Data Intelligent Technology Chongqing Engineering Research Center, School of Computer Science and Technology, Chongqing 400065, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003550256","display_name":"Fanjie Wang","orcid":"https://orcid.org/0000-0002-1419-1667"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fanjie Wang","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications, Space Big Data Intelligent Technology Chongqing Engineering Research Center, School of Computer Science and Technology, Chongqing 400065, China"],"raw_orcid":"https://orcid.org/0000-0003-3798-9900","affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications, Space Big Data Intelligent Technology Chongqing Engineering Research Center, School of Computer Science and Technology, Chongqing 400065, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034889951","display_name":"Siqin Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siqin Feng","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications, Space Big Data Intelligent Technology Chongqing Engineering Research Center, School of Computer Science and Technology, Chongqing 400065, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications, Space Big Data Intelligent Technology Chongqing Engineering Research Center, School of Computer Science and Technology, Chongqing 400065, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001702801","display_name":"Yongrong Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongrong Peng","raw_affiliation_strings":["Central South University, School of Computer Science and Technology, Changsha 410000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University, School of Computer Science and Technology, Changsha 410000, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003550256"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.7144,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.75755141,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2019","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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":1.0,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9993000030517578,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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":0.8772983551025391},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8156181573867798},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6998308897018433},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6728966236114502},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6285797357559204},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5555652379989624},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.516987681388855},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46845459938049316},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.458532452583313},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.44538629055023193},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4184167981147766}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8772983551025391},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8156181573867798},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6998308897018433},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6728966236114502},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6285797357559204},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5555652379989624},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.516987681388855},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46845459938049316},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.458532452583313},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.44538629055023193},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4184167981147766},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D001642","descriptor_name":"Bicycling","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001642","descriptor_name":"Bicycling","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001642","descriptor_name":"Bicycling","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001642","descriptor_name":"Bicycling","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002947","descriptor_name":"Cities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002947","descriptor_name":"Cities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002947","descriptor_name":"Cities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002947","descriptor_name":"Cities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008027","descriptor_name":"Light","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008027","descriptor_name":"Light","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008027","descriptor_name":"Light","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008027","descriptor_name":"Light","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018986","descriptor_name":"Motor Vehicles","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018986","descriptor_name":"Motor Vehicles","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018986","descriptor_name":"Motor Vehicles","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018986","descriptor_name":"Motor Vehicles","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1155/2019/3679203","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2019/3679203","pdf_url":"https://downloads.hindawi.com/journals/cin/2019/3679203.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},{"id":"pmid:31814818","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31814818","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":"Computational intelligence and neuroscience","raw_type":null},{"id":"pmh:oai:doaj.org/article:d1dd2820e4d54dc2b935a41b5e9c37ac","is_oa":false,"landing_page_url":"https://doaj.org/article/d1dd2820e4d54dc2b935a41b5e9c37ac","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":"Computational Intelligence and Neuroscience, Vol 2019 (2019)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:5855318","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6878779","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2019/3679203","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2019/3679203","pdf_url":"https://downloads.hindawi.com/journals/cin/2019/3679203.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5400000214576721,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G823892203","display_name":null,"funder_award_id":"41571401","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2987361511.pdf","grobid_xml":"https://content.openalex.org/works/W2987361511.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W7746136","https://openalex.org/W639708223","https://openalex.org/W1801687142","https://openalex.org/W2004963761","https://openalex.org/W2012313888","https://openalex.org/W2031489346","https://openalex.org/W2088049833","https://openalex.org/W2109255472","https://openalex.org/W2138273245","https://openalex.org/W2154271851","https://openalex.org/W2156530496","https://openalex.org/W2395611524","https://openalex.org/W2514370159","https://openalex.org/W2795812085","https://openalex.org/W2806070179","https://openalex.org/W2806242927","https://openalex.org/W2809545838","https://openalex.org/W2953504521","https://openalex.org/W2963317244"],"related_works":["https://openalex.org/W4391621807","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391621790","https://openalex.org/W4239306820","https://openalex.org/W2969228573","https://openalex.org/W2963690996","https://openalex.org/W4292830139","https://openalex.org/W4319309705","https://openalex.org/W4382050342"],"abstract_inverted_index":{"The":[0,138],"performance":[1,147],"of":[2,52,101,127,150,171],"convolutional":[3,76],"neural":[4,77],"network-":[5],"(CNN-)":[6],"based":[7],"object":[8],"detection":[9,92,118,157],"has":[10,40],"achieved":[11],"incredible":[12],"success.":[13],"Howbeit,":[14],"existing":[15],"CNN-based":[16],"algorithms":[17],"suffer":[18],"from":[19],"a":[20,42,73,99,128],"problem":[21],"that":[22,49,142],"small-scale":[23,123],"objects":[24,53,84],"are":[25,112],"difficult":[26],"to":[27,115,160],"detect":[28],"because":[29],"it":[30,46],"may":[31],"have":[32],"lost":[33],"its":[34],"response":[35],"when":[36],"the":[37,50,117,156,168],"feature":[38,96],"map":[39],"reached":[41],"certain":[43],"depth,":[44],"and":[45,58,64,108,122,152,155],"is":[47,163],"common":[48],"scale":[51],"(such":[54],"as":[55],"cars,":[56],"buses,":[57],"pedestrians)":[59],"contained":[60],"in":[61,85,94,148],"traffic":[62,86],"images":[63],"videos":[65],"varies":[66],"greatly.":[67],"In":[68],"this":[69],"paper,":[70],"we":[71],"present":[72],"32-layer":[74],"multibranch":[75],"network":[78],"named":[79],"MBNet":[80],"for":[81,119],"fast":[82],"detecting":[83],"scenes.":[87],"Our":[88],"model":[89,133,144],"utilizes":[90],"three":[91],"branches,":[93],"which":[95,165],"maps":[97],"with":[98],"size":[100],"16":[102],"\u00d7":[103,106,110],"16,":[104],"32":[105],"32,":[107],"64":[109,111],"used,":[113],"respectively,":[114],"optimize":[116],"large-,":[120],"medium-,":[121],"objects.":[124],"By":[125],"means":[126],"multitask":[129],"loss":[130],"function,":[131],"our":[132,143],"can":[134,166],"be":[135],"trained":[136],"end-to-end.":[137],"experimental":[139],"results":[140],"show":[141],"achieves":[145],"state-of-the-art":[146],"terms":[149],"precision":[151],"recall":[153],"rate,":[154],"speed":[158],"(up":[159],"33":[161],"fps)":[162],"fast,":[164],"meet":[167],"real-time":[169],"requirements":[170],"industry.":[172]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
