{"id":"https://openalex.org/W4319430194","doi":"https://doi.org/10.1109/isocc56007.2022.10031377","title":"Filter Pruning Method for Inference Time Acceleration Based on YOLOX in Edge Device","display_name":"Filter Pruning Method for Inference Time Acceleration Based on YOLOX in Edge Device","publication_year":2022,"publication_date":"2022-10-19","ids":{"openalex":"https://openalex.org/W4319430194","doi":"https://doi.org/10.1109/isocc56007.2022.10031377"},"language":"en","primary_location":{"id":"doi:10.1109/isocc56007.2022.10031377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isocc56007.2022.10031377","pdf_url":null,"source":{"id":"https://openalex.org/S4363608048","display_name":"2022 19th International SoC Design Conference (ISOCC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 19th International SoC Design Conference (ISOCC)","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/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":["Inha university,Dept. of Electrical and Computer Engineering,Incheon,South Korea","Dept. of Electrical and Computer Engineering, Inha university, Incheon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inha university,Dept. of Electrical and Computer Engineering,Incheon,South Korea","institution_ids":["https://openalex.org/I191879574"]},{"raw_affiliation_string":"Dept. 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":["Inha university,Dept. of Electrical and Computer Engineering,Incheon,South Korea","Dept. of Electrical and Computer Engineering, Inha university, Incheon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inha university,Dept. of Electrical and Computer Engineering,Incheon,South Korea","institution_ids":["https://openalex.org/I191879574"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Inha university, Incheon, South Korea","institution_ids":["https://openalex.org/I191879574"]}]},{"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":["Sangmyung University,Dept. of System Semiconductor Engineering,Cheonan,South Korea","Dept. of System Semiconductor Engineering, Sangmyung University, Cheonan, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sangmyung University,Dept. of System Semiconductor Engineering,Cheonan,South Korea","institution_ids":["https://openalex.org/I157264075"]},{"raw_affiliation_string":"Dept. of System Semiconductor Engineering, Sangmyung University, Cheonan, South Korea","institution_ids":["https://openalex.org/I157264075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2774,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63873505,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"354","last_page":"355"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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":0.9995999932289124,"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/T12676","display_name":"Machine Learning and ELM","score":0.9828000068664551,"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"}},{"id":"https://openalex.org/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9735000133514404,"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":0.7031232118606567},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6324679255485535},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5972816944122314},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5841780304908752},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5691661834716797},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5240198373794556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5146077871322632},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.41877469420433044},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.08517667651176453},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08428138494491577}],"concepts":[{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.7031232118606567},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6324679255485535},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5972816944122314},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5841780304908752},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5691661834716797},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5240198373794556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5146077871322632},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.41877469420433044},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.08517667651176453},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08428138494491577},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isocc56007.2022.10031377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isocc56007.2022.10031377","pdf_url":null,"source":{"id":"https://openalex.org/S4363608048","display_name":"2022 19th International SoC Design Conference (ISOCC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 19th International SoC Design Conference (ISOCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"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"}],"funders":[{"id":"https://openalex.org/F4320324891","display_name":"Iran Telecommunication Research Center","ror":"https://ror.org/01a3g2z22"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2037227137","https://openalex.org/W2962851801","https://openalex.org/W3119992913","https://openalex.org/W3184439416","https://openalex.org/W4285140289","https://openalex.org/W6798838024"],"related_works":["https://openalex.org/W4382323155","https://openalex.org/W4315697128","https://openalex.org/W3205506801","https://openalex.org/W2971502891","https://openalex.org/W4287067436","https://openalex.org/W4280599700","https://openalex.org/W2493838176","https://openalex.org/W4297686120","https://openalex.org/W3005814217","https://openalex.org/W3092292339"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"network":[2,58],"(CNN)":[3],"has":[4],"a":[5],"lot":[6],"of":[7,35,55,85,112],"parameters":[8,86,113],"and":[9,41,87,91,100,114,118],"floating":[10],"point":[11],"operations":[12],"(FLOPs),":[13],"so":[14],"it":[15,20],"is":[16],"difficult":[17],"to":[18,43,71],"use":[19],"in":[21,75],"edge":[22,78],"devices":[23],"with":[24],"limited":[25],"resources.":[26],"To":[27],"solve":[28],"this":[29],"problem,":[30],"the":[31,44,52,56,67,76,81,108,126],"filter":[32],"pruning":[33,83,110],"method":[34],"our":[36],"previous":[37],"study":[38],"was":[39,59,129],"extended":[40],"applied":[42],"state-of-the-art":[45],"object":[46],"detection":[47],"network,":[48],"YOLOX.":[49],"In":[50],"addition,":[51],"inference":[53,101,127],"time":[54,102,128],"pruned":[57],"measured":[60],"on":[61],"NVIDIA":[62],"Jetson":[63],"Xavier":[64],"NX":[65],"using":[66],"PASCAL":[68],"VOC":[69],"dataset":[70],"confirm":[72],"performance":[73],"improvement":[74],"actual":[77],"device.":[79],"When":[80],"target":[82,109],"rates":[84,111],"FLOPs":[88,115],"were":[89,116],"40%":[90,117],"30%,":[92],"mean":[93],"average":[94],"precision$(\\text{mAP})(0.5)$improved":[95],"by":[96,98,104,120,123,131],"0.07%,$\\text{mAP}(0.5:0.95)$decreased":[97],"0.8%,":[99],"improved":[103,130],"19.48%.":[105],"Also,":[106],"when":[107],"50%,$\\text{mAP}(0.5)$decreased":[119],"0.57%,":[121],"and$\\text{mAP}(0.5:0.95)$decreased":[122],"2.84%,":[124],"but":[125],"36.21%.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
