{"id":"https://openalex.org/W4285140289","doi":"https://doi.org/10.1109/access.2022.3188323","title":"Target Capacity Filter Pruning Method for Optimized Inference Time Based on YOLOv5 in Embedded Systems","display_name":"Target Capacity Filter Pruning Method for Optimized Inference Time Based on YOLOv5 in Embedded Systems","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285140289","doi":"https://doi.org/10.1109/access.2022.3188323"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3188323","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3188323","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09815045.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/ielx7/6287639/6514899/09815045.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008405543","display_name":"Jihun Jeon","orcid":"https://orcid.org/0000-0001-5032-9742"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jihun Jeon","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Inha University, Incheon, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-5032-9742","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Inha University, Incheon, South Korea","institution_ids":["https://openalex.org/I191879574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101937595","display_name":"Jaemyung Kim","orcid":"https://orcid.org/0000-0001-8448-9680"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaemyung Kim","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Inha University, Incheon, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-8448-9680","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Inha University, Incheon, South Korea","institution_ids":["https://openalex.org/I191879574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035110848","display_name":"Jin-Ku Kang","orcid":"https://orcid.org/0000-0002-3752-3740"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jin-Ku Kang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Inha University, Incheon, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-3752-3740","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Inha University, Incheon, South Korea","institution_ids":["https://openalex.org/I191879574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014287181","display_name":"SungTae Moon","orcid":"https://orcid.org/0000-0002-1638-6898"},"institutions":[{"id":"https://openalex.org/I35886859","display_name":"Korea University of Technology and Education","ror":"https://ror.org/053nycv62","country_code":"KR","type":"education","lineage":["https://openalex.org/I35886859"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungtae Moon","raw_affiliation_strings":["Department of Computer Science and Engineering, Korea University of Technology and Education, Cheonan-si, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Korea University of Technology and Education, Cheonan-si, South Korea","institution_ids":["https://openalex.org/I35886859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019873685","display_name":"Yongwoo Kim","orcid":"https://orcid.org/0000-0002-1011-2319"},"institutions":[{"id":"https://openalex.org/I157264075","display_name":"Sangmyung University","ror":"https://ror.org/01x4whx42","country_code":"KR","type":"education","lineage":["https://openalex.org/I157264075"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yongwoo Kim","raw_affiliation_strings":["Department of System Semiconductor Engineering, Sangmyung University, Cheonan-si, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-1011-2319","affiliations":[{"raw_affiliation_string":"Department of System Semiconductor Engineering, Sangmyung University, Cheonan-si, South Korea","institution_ids":["https://openalex.org/I157264075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.523,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.83678714,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"10","issue":null,"first_page":"70840","last_page":"70849"},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/flops","display_name":"FLOPS","score":0.9110589027404785},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.8250377178192139},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7688379287719727},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.7215056419372559},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6037819385528564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48964768648147583},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.45303875207901},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4311200976371765},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4202045500278473},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4017244875431061},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.351692795753479},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3250536024570465},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.16858503222465515},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.10845771431922913}],"concepts":[{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.9110589027404785},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.8250377178192139},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7688379287719727},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7215056419372559},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6037819385528564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48964768648147583},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.45303875207901},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4311200976371765},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4202045500278473},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4017244875431061},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.351692795753479},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3250536024570465},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.16858503222465515},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10845771431922913},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3188323","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3188323","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09815045.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:22d11f616efe4e8fa33d0e359d30c3aa","is_oa":false,"landing_page_url":"https://doaj.org/article/22d11f616efe4e8fa33d0e359d30c3aa","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":"IEEE Access, Vol 10, Pp 70840-70849 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3188323","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3188323","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09815045.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":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G3101108053","display_name":null,"funder_award_id":"IITP-2021-0-02052","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G3993613658","display_name":null,"funder_award_id":"IITP-2021-0-02052","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G4812789830","display_name":null,"funder_award_id":"IITP-2021-0-02052","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G5966894348","display_name":null,"funder_award_id":"IITP-2021-0-02052","funder_id":"https://openalex.org/F4320324891","funder_display_name":"Iran Telecommunication Research Center"},{"id":"https://openalex.org/G6288946660","display_name":null,"funder_award_id":"2022R1G1A1007415","funder_id":"https://openalex.org/F4320322030","funder_display_name":"Ministry of Science, ICT and Future Planning"},{"id":"https://openalex.org/G815191286","display_name":null,"funder_award_id":"2022R1G1A1007415","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322030","display_name":"Ministry of Science, ICT and Future Planning","ror":"https://ror.org/032e49973"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320324891","display_name":"Iran Telecommunication Research Center","ror":"https://ror.org/01a3g2z22"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285140289.pdf","grobid_xml":"https://content.openalex.org/works/W4285140289.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2037227137","https://openalex.org/W2065400501","https://openalex.org/W2102605133","https://openalex.org/W2194775991","https://openalex.org/W2560023338","https://openalex.org/W2570343428","https://openalex.org/W2613332842","https://openalex.org/W2793350103","https://openalex.org/W2808168148","https://openalex.org/W2962851801","https://openalex.org/W2962965870","https://openalex.org/W2963037989","https://openalex.org/W2964233199","https://openalex.org/W3018757597","https://openalex.org/W3034513523","https://openalex.org/W3109212549","https://openalex.org/W3119992913","https://openalex.org/W3177656211","https://openalex.org/W3205100603","https://openalex.org/W4246193833","https://openalex.org/W4293584584","https://openalex.org/W6637373629","https://openalex.org/W6726275242","https://openalex.org/W6750227808","https://openalex.org/W6777046832","https://openalex.org/W6797972850","https://openalex.org/W6801564760"],"related_works":["https://openalex.org/W4315697128","https://openalex.org/W3102845713","https://openalex.org/W2971502891","https://openalex.org/W3205506801","https://openalex.org/W4280599700","https://openalex.org/W2069133146","https://openalex.org/W3183570023","https://openalex.org/W1663079876","https://openalex.org/W2493838176","https://openalex.org/W4297686120"],"abstract_inverted_index":{"Recently,":[0],"convolutional":[1],"neural":[2],"networks":[3,23,47],"(CNNs),":[4],"which":[5],"exhibit":[6],"excellent":[7],"performance":[8,125],"in":[9,17,48,165],"the":[10,18,22,29,34,94,97,101,112,124,127,136,144,155,162,166,175,185],"field":[11],"of":[12,31,64,126,135,153,157,161],"computer":[13],"vision,":[14],"have":[15],"been":[16],"spotlight.":[19],"However,":[20],"as":[21],"become":[24],"wider":[25],"for":[26,66,77,86],"higher":[27],"accuracy,":[28],"number":[30,156],"parameters":[32,158],"and":[33,56,89,100,141,159,173,181,193],"computational":[35,54],"costs":[36],"increase":[37],"exponentially.":[38],"Therefore,":[39],"it":[40],"is":[41],"challenging":[42],"to":[43,80,107,122],"use":[44],"deep":[45],"learning":[46],"embedded":[49],"environments":[50],"with":[51,111],"limited":[52],"resources,":[53],"performance,":[55],"power.":[57],"Moreover,":[58],"CNNs":[59],"consume":[60],"a":[61,74,105,109,151],"great":[62],"deal":[63],"time":[65,99,134,187],"inference.":[67],"To":[68],"solve":[69],"this":[70],"problem,":[71],"we":[72,103],"propose":[73],"practical":[75],"method":[76,106],"filter":[78,129],"pruning":[79,130,154],"provide":[81],"an":[82],"optimal":[83],"network":[84,110,138,164],"architecture":[85],"target":[87],"capacity":[88],"inference":[90,98,114,133,186],"acceleration.":[91],"After":[92],"revealing":[93],"correlation":[95],"between":[96],"FLOPs,":[102],"proposed":[104,128],"generate":[108],"desired":[113],"time.":[115],"Various":[116],"object":[117],"detection":[118],"datasets":[119],"were":[120],"used":[121],"evaluate":[123],"method.":[131],"The":[132],"pruned":[137],"was":[139,188],"measured":[140],"analyzed":[142],"using":[143],"NVIDIA":[145],"Jetson":[146],"Xavier":[147],"NX":[148],"platform.":[149],"As":[150],"result":[152],"FLOPs":[160],"YOLOv5":[163],"PASCAL":[167],"VOC":[168],"dataset":[169],"by":[170,178,190],"30%,":[171],"40%,":[172],"50%,":[174],"mAP":[176],"decreased":[177],"0.6%,":[179],"2.3%,":[180],"2.9%,":[182],"respectively,":[183],"while":[184],"improved":[189],"14.3%,":[191],"26.4%,":[192],"34.5%,":[194],"respectively.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}