{"id":"https://openalex.org/W4390241555","doi":"https://doi.org/10.1109/access.2023.3347548","title":"Near-Edge Computing Aware Object Detection: A Review","display_name":"Near-Edge Computing Aware Object Detection: A Review","publication_year":2023,"publication_date":"2023-12-26","ids":{"openalex":"https://openalex.org/W4390241555","doi":"https://doi.org/10.1109/access.2023.3347548"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3347548","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3347548","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10374363.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"review","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10374363.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067487555","display_name":"Arief Setyanto","orcid":"https://orcid.org/0000-0003-0721-3941"},"institutions":[{"id":"https://openalex.org/I4400573182","display_name":"Universitas Amikom Yogyakarta","ror":"https://ror.org/00j65mz88","country_code":null,"type":"education","lineage":["https://openalex.org/I4400573182"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Arief Setyanto","raw_affiliation_strings":["Magister of Informatics, Universitas Amikom Yogyakarta, Sleman, Indonesia"],"raw_orcid":"https://orcid.org/0000-0003-0721-3941","affiliations":[{"raw_affiliation_string":"Magister of Informatics, Universitas Amikom Yogyakarta, Sleman, Indonesia","institution_ids":["https://openalex.org/I4400573182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001862398","display_name":"Theopilus Bayu Sasongko","orcid":"https://orcid.org/0009-0005-8428-9327"},"institutions":[{"id":"https://openalex.org/I4210147600","display_name":"Universitas Teknologi Yogyakarta","ror":"https://ror.org/04jbp8w50","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210147600"]},{"id":"https://openalex.org/I4400573182","display_name":"Universitas Amikom Yogyakarta","ror":"https://ror.org/00j65mz88","country_code":null,"type":"education","lineage":["https://openalex.org/I4400573182"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Theopilus Bayu Sasongko","raw_affiliation_strings":["Department of Informatics, Universitas Amikom Yogyakarta, Sleman, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Universitas Amikom Yogyakarta, Sleman, Indonesia","institution_ids":["https://openalex.org/I4210147600","https://openalex.org/I4400573182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034902203","display_name":"Muhammad Ainul Fikri","orcid":null},"institutions":[{"id":"https://openalex.org/I4210147600","display_name":"Universitas Teknologi Yogyakarta","ror":"https://ror.org/04jbp8w50","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210147600"]},{"id":"https://openalex.org/I4400573182","display_name":"Universitas Amikom Yogyakarta","ror":"https://ror.org/00j65mz88","country_code":null,"type":"education","lineage":["https://openalex.org/I4400573182"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Muhammad Ainul Fikri","raw_affiliation_strings":["Department of Informatics, Universitas Amikom Yogyakarta, Sleman, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Universitas Amikom Yogyakarta, Sleman, Indonesia","institution_ids":["https://openalex.org/I4210147600","https://openalex.org/I4400573182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084996425","display_name":"In Kee Kim","orcid":"https://orcid.org/0000-0003-1330-7784"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"In Kee Kim","raw_affiliation_strings":["School of Computing, University of Georgia, Athens, GA, USA","School of Computing, The University of Georgia, United States"],"raw_orcid":"https://orcid.org/0000-0003-1330-7784","affiliations":[{"raw_affiliation_string":"School of Computing, University of Georgia, Athens, GA, USA","institution_ids":["https://openalex.org/I165733156"]},{"raw_affiliation_string":"School of Computing, The University of Georgia, United States","institution_ids":["https://openalex.org/I165733156"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"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":2.7722,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.92536912,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"12","issue":null,"first_page":"2989","last_page":"3011"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9815000295639038,"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":0.9815000295639038,"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/T14319","display_name":"Currency Recognition and Detection","score":0.9527000188827515,"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":0.9426000118255615,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8515074253082275},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7834986448287964},{"id":"https://openalex.org/keywords/byte","display_name":"Byte","score":0.7460293173789978},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5907353758811951},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.589130163192749},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5331612825393677},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49452659487724304},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.488800972700119},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4709409475326538},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.45275071263313293},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.441790372133255},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.43963152170181274},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.4296836256980896},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.35693487524986267},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32923585176467896},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3270992040634155},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.21133258938789368},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.18382301926612854},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.1713528037071228},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10091516375541687},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09796682000160217},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08002129197120667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8515074253082275},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7834986448287964},{"id":"https://openalex.org/C43364308","wikidata":"https://www.wikidata.org/wiki/Q8799","display_name":"Byte","level":2,"score":0.7460293173789978},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5907353758811951},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.589130163192749},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5331612825393677},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49452659487724304},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.488800972700119},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4709409475326538},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.45275071263313293},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.441790372133255},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.43963152170181274},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4296836256980896},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.35693487524986267},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32923585176467896},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3270992040634155},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.21133258938789368},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.18382301926612854},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.1713528037071228},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10091516375541687},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09796682000160217},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08002129197120667},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3347548","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3347548","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10374363.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:356a004d67a4423ab18193dbee87ca16","is_oa":true,"landing_page_url":"https://doaj.org/article/356a004d67a4423ab18193dbee87ca16","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":"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 12, Pp 2989-3011 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3347548","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3347548","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10374363.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":null,"license_id":null,"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/16","score":0.5199999809265137,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G4816761738","display_name":null,"funder_award_id":"181/E5/PG.02.00.PL/2023-0423.19/LL5-INT/AL.04/2023","funder_id":"https://openalex.org/F4320335079","funder_display_name":"Direktorat Jenderal Pendidikan Tinggi"}],"funders":[{"id":"https://openalex.org/F4320335079","display_name":"Direktorat Jenderal Pendidikan Tinggi","ror":"https://ror.org/03sxt1c89"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390241555.pdf","grobid_xml":"https://content.openalex.org/works/W4390241555.grobid-xml"},"referenced_works_count":113,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1537133930","https://openalex.org/W1686810756","https://openalex.org/W1821462560","https://openalex.org/W1861492603","https://openalex.org/W2016215417","https://openalex.org/W2031489346","https://openalex.org/W2036989445","https://openalex.org/W2088049833","https://openalex.org/W2097117768","https://openalex.org/W2102605133","https://openalex.org/W2103577800","https://openalex.org/W2108598243","https://openalex.org/W2119144962","https://openalex.org/W2120419212","https://openalex.org/W2122808326","https://openalex.org/W2159686933","https://openalex.org/W2168356304","https://openalex.org/W2194775991","https://openalex.org/W2322480645","https://openalex.org/W2515655118","https://openalex.org/W2520824046","https://openalex.org/W2531409750","https://openalex.org/W2538008885","https://openalex.org/W2560645261","https://openalex.org/W2800388963","https://openalex.org/W2809532002","https://openalex.org/W2810560698","https://openalex.org/W2884367402","https://openalex.org/W2886438137","https://openalex.org/W2916484109","https://openalex.org/W2928165649","https://openalex.org/W2935524202","https://openalex.org/W2939411050","https://openalex.org/W2953738034","https://openalex.org/W2955747520","https://openalex.org/W2962298324","https://openalex.org/W2962752334","https://openalex.org/W2962814013","https://openalex.org/W2963037989","https://openalex.org/W2963122961","https://openalex.org/W2963653352","https://openalex.org/W2965136436","https://openalex.org/W2969649120","https://openalex.org/W2970987838","https://openalex.org/W2971148076","https://openalex.org/W2990954877","https://openalex.org/W2993501994","https://openalex.org/W2999803881","https://openalex.org/W3021213235","https://openalex.org/W3021951958","https://openalex.org/W3034945042","https://openalex.org/W3034971973","https://openalex.org/W3090842953","https://openalex.org/W3095850880","https://openalex.org/W3096832794","https://openalex.org/W3098486933","https://openalex.org/W3107847925","https://openalex.org/W3119373805","https://openalex.org/W3124552490","https://openalex.org/W3137147200","https://openalex.org/W3171329138","https://openalex.org/W3171660447","https://openalex.org/W3174260683","https://openalex.org/W3194982364","https://openalex.org/W3198025215","https://openalex.org/W3198212497","https://openalex.org/W3202671536","https://openalex.org/W3210586215","https://openalex.org/W3214037210","https://openalex.org/W4200006813","https://openalex.org/W4200335308","https://openalex.org/W4200633579","https://openalex.org/W4220827132","https://openalex.org/W4220973222","https://openalex.org/W4226329724","https://openalex.org/W4236099117","https://openalex.org/W4283697674","https://openalex.org/W4283810142","https://openalex.org/W4285259499","https://openalex.org/W4287363917","https://openalex.org/W4292828567","https://openalex.org/W4292969716","https://openalex.org/W4293518231","https://openalex.org/W4297775537","https://openalex.org/W4300092737","https://openalex.org/W4304699904","https://openalex.org/W4306769396","https://openalex.org/W4309603413","https://openalex.org/W4312446817","https://openalex.org/W4312655603","https://openalex.org/W4320002812","https://openalex.org/W4380520229","https://openalex.org/W4381436488","https://openalex.org/W6628973269","https://openalex.org/W6637373629","https://openalex.org/W6638523607","https://openalex.org/W6674914833","https://openalex.org/W6675452470","https://openalex.org/W6677580257","https://openalex.org/W6687483927","https://openalex.org/W6726347659","https://openalex.org/W6728184133","https://openalex.org/W6737664043","https://openalex.org/W6741267457","https://openalex.org/W6743188669","https://openalex.org/W6749810415","https://openalex.org/W6763233178","https://openalex.org/W6785465245","https://openalex.org/W6790503700","https://openalex.org/W6803837815","https://openalex.org/W6845896309"],"related_works":["https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4313463218","https://openalex.org/W4312996489","https://openalex.org/W3111395152","https://openalex.org/W4313526662","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W4319161913"],"abstract_inverted_index":{"Object":[0,36,53],"detection":[1,24,37,54,99,132,218,237,249,265,268,315,344],"is":[2,15,55,106,121,212,243,366],"an":[3,350],"important":[4],"task":[5],"required":[6,202],"in":[7,22,96,109,127,155,170,238,352,374],"computer":[8,34],"vision":[9],"to":[10,27,32,58,165,204,214,282,349,367,376],"solve":[11],"many":[12],"problems.":[13],"This":[14,257,290],"because":[16],"humans":[17],"have":[18],"very":[19],"good":[20],"performance":[21,71],"object":[23,47,98,131,217,236,248,264,267,314,343],"task,":[25],"compared":[26],"machines,":[28],"hence":[29],"the":[30,46,51,124,162,167,177,180,184,216,221,224,228,245,247,253,260,276,287,313,320,369,378],"need":[31,164],"improve":[33],"vision.":[35],"consists":[38],"of":[39,45,50,63,103,150,173,179,191,200,223,234,263,312,357],"two":[40],"sub":[41,65],"tasks,":[42],"namely":[43],"localization":[44],"and":[48,69,115,141,175,183,227,255,286,308,329,338,380],"classification":[49,70],"object.":[52],"slow":[56],"due":[57],"high":[59,382],"computing":[60,80,105,128,241],"capacity":[61],"demand":[62],"both":[64],"tasks.":[66],"Consequently,":[67],"segmentation":[68],"are":[72,88,187],"often":[73],"slow,":[74],"even":[75],"when":[76,176],"deployed":[77],"on":[78,148],"high-capacity":[79],"platforms":[81],"such":[82,111,134,299],"as":[83,112,135,300],"CPU-GPU":[84],"combinations.":[85],"Edge":[86],"devices":[87,242,323],"constrained":[89],"by":[90],"limited":[91],"computational":[92,195],"power,":[93],"which":[94],"results":[95],"poor":[97],"performance.":[100],"The":[101,197,232,363],"implementation":[102],"near-edge":[104],"used":[107],"particularly":[108],"applications":[110],"drone":[113],"surveillance":[114],"autonomous":[116],"vehicles,":[117],"where":[118],"real-time":[119],"decision-making":[120],"essential":[122],"despite":[123],"inherent":[125],"limitations":[126],"power.":[129],"Current":[130],"methods":[133,270],"Regional":[136],"Convolutional":[137],"Neural":[138],"Network":[139],"(RCNN)":[140],"You":[142],"Only":[143],"Look":[144],"Once":[145],"(YOLO)":[146],"rely":[147],"millions":[149],"weight":[151,168,181,230],"parameters,":[152],"typically":[153],"stored":[154],"two,":[156],"four,":[157],"or":[158],"eight":[159],"bytes.":[160],"Therefore,":[161],"algorithms":[163],"store":[166],"parameters":[169,182],"big":[171],"size":[172,226],"memory":[174,336],"operation":[178],"input":[185],"signal":[186],"executed,":[188],"longer":[189],"bytes":[190],"data":[192],"require":[193],"higher":[194],"load.":[196],"huge":[198],"volume":[199],"operations":[201],"lead":[203,348],"slower":[205],"computation.":[206],"To":[207],"address":[208],"this":[209],"issue,":[210],"it":[211],"necessary":[213],"simplify":[215],"models,":[219],"through":[220,334],"reduction":[222],"byte":[225],"number":[229],"parameter.":[231],"challenges":[233],"implementing":[235],"near":[239,321],"edge":[240,322],"providing":[244],"lightweight":[246],"models":[250],"while":[251],"maintaining":[252],"precision":[254,360],"accuracy.":[256],"review":[258],"discusses":[259,293],"current":[261],"state":[262],"methods,":[266],"simplification":[269,295,317,346],"including":[271],"deep":[272],"learning":[273],"compression":[274,307,373],"techniques,":[275],"previous":[277],"effort":[278],"undertaken":[279],"research":[280],"community":[281],"mitigate":[283],"these":[284],"challenges,":[285],"associated":[288],"limitations.":[289],"paper":[291],"also":[292],"some":[294],"techniques":[296],"carried":[297],"out":[298],"regional":[301],"proposal":[302],"network":[303],"(RPN)":[304],"replacement,":[305],"backbone":[306],"head":[309],"modification.":[310],"Some":[311],"model":[316,345,372],"will":[318,347],"target":[319],"with":[324,354],"Central":[325],"Processing":[326,331],"unit":[327],"(CPU)":[328],"Graphical":[330],"Unit":[332],"(GPU)":[333],"varying":[335],"configuration":[337],"clock":[339],"speed.":[340],"In":[341],"general,":[342],"increase":[351],"speed":[353,379],"a":[355],"consequences":[356],"mean":[358],"average":[359],"(mAP)":[361],"drop.":[362],"remaining":[364],"challenge":[365],"find":[368],"best":[370],"suitable":[371],"order":[375],"achieve":[377],"maintain":[381],"mAP.":[383]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":5}],"updated_date":"2026-07-09T07:52:08.696243","created_date":"2025-10-10T00:00:00"}