{"id":"https://openalex.org/W2973696262","doi":"https://doi.org/10.1109/access.2019.2941547","title":"Mini-YOLOv3: Real-Time Object Detector for Embedded Applications","display_name":"Mini-YOLOv3: Real-Time Object Detector for Embedded Applications","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2973696262","doi":"https://doi.org/10.1109/access.2019.2941547","mag":"2973696262"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2941547","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2941547","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08839032.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/ielx7/6287639/8600701/08839032.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027005527","display_name":"Qi-Chao Mao","orcid":"https://orcid.org/0000-0003-1986-4581"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qi-Chao Mao","raw_affiliation_strings":["College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056239551","display_name":"Hong-Mei Sun","orcid":"https://orcid.org/0000-0002-4830-3364"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong-Mei Sun","raw_affiliation_strings":["Shandong Province Key Laboratory of Wisdom Mine Information Technology, Shandong University of Science and Technology, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Shandong Province Key Laboratory of Wisdom Mine Information Technology, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100648067","display_name":"Yanbo Liu","orcid":"https://orcid.org/0000-0001-7374-675X"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan-Bo Liu","raw_affiliation_strings":["College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055657050","display_name":"Rui\u2010Sheng Jia","orcid":"https://orcid.org/0000-0003-1612-4764"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui-Sheng Jia","raw_affiliation_strings":["Shandong Province Key Laboratory of Wisdom Mine Information Technology, Shandong University of Science and Technology, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Shandong Province Key Laboratory of Wisdom Mine Information Technology, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5027005527"],"corresponding_institution_ids":["https://openalex.org/I80143920"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":12.6685,"has_fulltext":true,"cited_by_count":219,"citation_normalized_percentile":{"value":0.98926494,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"7","issue":null,"first_page":"133529","last_page":"133538"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9979000091552734,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.8589626550674438},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6217459440231323},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5966773629188538},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5855696797370911},{"id":"https://openalex.org/keywords/pointwise","display_name":"Pointwise","score":0.5537996292114258},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49903154373168945},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48792168498039246},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.48234981298446655},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46155333518981934},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4594385027885437},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4388432204723358},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4084152281284332},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3277280032634735}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8589626550674438},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6217459440231323},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5966773629188538},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5855696797370911},{"id":"https://openalex.org/C2777984123","wikidata":"https://www.wikidata.org/wiki/Q9248237","display_name":"Pointwise","level":2,"score":0.5537996292114258},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49903154373168945},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48792168498039246},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.48234981298446655},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46155333518981934},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4594385027885437},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4388432204723358},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4084152281284332},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3277280032634735},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2941547","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2941547","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08839032.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e5c6821b68484b4c970b3df95028cd81","is_oa":true,"landing_page_url":"https://doaj.org/article/e5c6821b68484b4c970b3df95028cd81","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 7, Pp 133529-133538 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2941547","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2941547","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08839032.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1211347564","display_name":null,"funder_award_id":"2017GSF20115","funder_id":"https://openalex.org/F4320333596","funder_display_name":"Key Technology Research and Development Program of Shandong"},{"id":"https://openalex.org/G2696157397","display_name":null,"funder_award_id":"ZR201","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G6924028813","display_name":null,"funder_award_id":"ZR2018","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G8402833515","display_name":null,"funder_award_id":"ZR2018MEE008","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320333596","display_name":"Key Technology Research and Development Program of Shandong","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2973696262.pdf","grobid_xml":"https://content.openalex.org/works/W2973696262.grobid-xml"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1563795667","https://openalex.org/W1861492603","https://openalex.org/W2037227137","https://openalex.org/W2045623976","https://openalex.org/W2091600398","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2112076978","https://openalex.org/W2120419212","https://openalex.org/W2124386111","https://openalex.org/W2144506857","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2164598857","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2279098554","https://openalex.org/W2294257158","https://openalex.org/W2531409750","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2579985080","https://openalex.org/W2607699895","https://openalex.org/W2612445135","https://openalex.org/W2613718673","https://openalex.org/W2752782242","https://openalex.org/W2768205026","https://openalex.org/W2795374598","https://openalex.org/W2950800384","https://openalex.org/W2952523420","https://openalex.org/W2959716684","https://openalex.org/W2962845546","https://openalex.org/W2962970995","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963402592","https://openalex.org/W2963420686","https://openalex.org/W2963786238","https://openalex.org/W2963857521","https://openalex.org/W2964241181","https://openalex.org/W3012573144","https://openalex.org/W3106250896","https://openalex.org/W4293584584","https://openalex.org/W4297775537","https://openalex.org/W6620707391","https://openalex.org/W6633802082","https://openalex.org/W6639102338","https://openalex.org/W6676769703","https://openalex.org/W6684191040","https://openalex.org/W6714138976","https://openalex.org/W6726114608","https://openalex.org/W6731892127","https://openalex.org/W6732243160","https://openalex.org/W6737664043","https://openalex.org/W6743731764","https://openalex.org/W6746085279","https://openalex.org/W6748542324","https://openalex.org/W6750227808","https://openalex.org/W6753559396","https://openalex.org/W6765534123"],"related_works":["https://openalex.org/W143502885","https://openalex.org/W42113618","https://openalex.org/W2103468410","https://openalex.org/W2480115405","https://openalex.org/W3197542402","https://openalex.org/W1856228368","https://openalex.org/W2971527398","https://openalex.org/W1929207905","https://openalex.org/W2969228573","https://openalex.org/W2963690996"],"abstract_inverted_index":{"Real-time":[0],"scene":[1],"parsing":[2],"through":[3],"object":[4,107],"detection":[5,37,151],"running":[6],"on":[7,40,96,134],"an":[8],"embedded":[9,22],"device":[10],"is":[11,75,143],"very":[12],"challenging,":[13],"due":[14],"to":[15,52,80,101],"limited":[16],"memory":[17],"and":[18,48,118,122,148],"computing":[19],"power":[20],"of":[21,57,69,73,85,105,129,141,146,165,169],"devices.":[23],"To":[24],"deal":[25],"with":[26,65],"these":[27],"challenges,":[28],"we":[29,43,87],"redesign":[30],"a":[31,66,90,97],"lightweight":[32],"network":[33,64],"without":[34],"notably":[35],"reducing":[36],"accuracy.":[38],"Based":[39],"the":[41,54,58,83,103],"Darknet-53,":[42],"use":[44],"depth":[45],"separable":[46],"convolutions":[47,51],"pointwise":[49],"group":[50],"reduce":[53],"parameter":[55,67,139],"size":[56,68,117,140],"network.":[59],"A":[60],"feature":[61],"extraction":[62],"backbone":[63],"only":[70,144,156],"16":[71],"percent":[72],"darknet-53":[74],"constructed.":[76],"Meanwhile,":[77],"in":[78,127],"order":[79],"compensate":[81],"for":[82],"degradation":[84],"accuracy,":[86],"have":[88],"added":[89],"Multi-Scale":[91],"Feature":[92],"Pyramid":[93],"Network":[94],"based":[95],"simple":[98],"U-shaped":[99],"structure":[100],"improve":[102],"performance":[104],"multi-scale":[106],"detection,":[108],"which":[109],"called":[110],"it":[111],"Mini-YOLOv3.":[112],"It":[113],"has":[114],"smaller":[115],"model":[116],"fewer":[119],"trainable":[120],"parameters":[121],"floating":[123],"point":[124],"operations":[125],"(FLOPs)":[126],"comparison":[128],"YOLOv3.":[130],"We":[131],"evaluate":[132],"Mini-YOLOv3":[133,142,162],"MS-COCO":[135],"benchmark":[136],"dataset;":[137],"The":[138],"23%":[145],"YOLOv3":[147,154],"achieves":[149,163],"comparable":[150],"accuracy":[152],"as":[153],"but":[155],"requires":[157],"1/2":[158],"detect":[159],"time,":[160],"Specifically,":[161],"mAP-50":[164],"52.1":[166],"at":[167],"speed":[168],"67":[170],"fps.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":31},{"year":2023,"cited_by_count":42},{"year":2022,"cited_by_count":49},{"year":2021,"cited_by_count":49},{"year":2020,"cited_by_count":24},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
