{"id":"https://openalex.org/W4416429255","doi":"https://doi.org/10.1109/jiot.2025.3634761","title":"A Lightweight UAV Object Detector Based on Optimized YOLOv8 Fused With an Auxiliary Learning Branch for AIoT","display_name":"A Lightweight UAV Object Detector Based on Optimized YOLOv8 Fused With an Auxiliary Learning Branch for AIoT","publication_year":2025,"publication_date":"2025-11-20","ids":{"openalex":"https://openalex.org/W4416429255","doi":"https://doi.org/10.1109/jiot.2025.3634761"},"language":null,"primary_location":{"id":"doi:10.1109/jiot.2025.3634761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3634761","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"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 Internet of Things Journal","raw_type":"journal-article"},"type":"article","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/A5081243141","display_name":"Yuanyuan Chen","orcid":"https://orcid.org/0000-0002-5343-334X"},"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":"Yuanyuan Chen","raw_affiliation_strings":["School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","School of Communication and Information Engineering, Chongqing University of Posts and Telecommunication, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"School of Communication and Information Engineering, Chongqing University of Posts and Telecommunication, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061500521","display_name":"Huiqian Wang","orcid":"https://orcid.org/0000-0001-6409-0744"},"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":"Huiqian Wang","raw_affiliation_strings":["School of Integrated Circuits, Chongqing University of Posts and Telecommunications, Chongqing, China","School of Integrated Circuits, Chongqing University of Posts and Telecommunication, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"School of Integrated Circuits, Chongqing University of Posts and Telecommunication, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101982180","display_name":"Zhangyong Li","orcid":"https://orcid.org/0000-0003-0712-2759"},"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":"Zhangyong Li","raw_affiliation_strings":["School of Integrated Circuits, Chongqing University of Posts and Telecommunications, Chongqing, China","School of Integrated Circuits, Chongqing University of Posts and Telecommunication, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"School of Integrated Circuits, Chongqing University of Posts and Telecommunication, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092089394","display_name":"En Mou","orcid":"https://orcid.org/0009-0000-9954-6705"},"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":"En Mou","raw_affiliation_strings":["School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","School of Communication and Information Engineering, Chongqing University of Posts and Telecommunication, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"School of Communication and Information Engineering, Chongqing University of Posts and Telecommunication, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010200502","display_name":"Tiecheng Song","orcid":"https://orcid.org/0000-0003-1264-2812"},"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":"Tiecheng Song","raw_affiliation_strings":["School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","School of Communication and Information Engineering, Chongqing University of Posts and Telecommunication, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"School of Communication and Information Engineering, Chongqing University of Posts and Telecommunication, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037428704","display_name":"Shuai Xia","orcid":"https://orcid.org/0009-0008-3924-0374"},"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":"Shuai Xia","raw_affiliation_strings":["International College, Chongqing University of Posts and Telecommunications, Chongqing, China","International College of Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"International College, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"International College of Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101653613","display_name":"Yu Pang","orcid":"https://orcid.org/0000-0002-7507-5387"},"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":"Yu Pang","raw_affiliation_strings":["School of Integrated Circuits, Chongqing University of Posts and Telecommunications, Chongqing, China","School of Integrated Circuits, Chongqing University of Posts and Telecommunication, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"School of Integrated Circuits, Chongqing University of Posts and Telecommunication, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5081243141"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.36481274,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"4","first_page":"5793","last_page":"5808"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.8007000088691711,"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":0.8007000088691711,"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/T11133","display_name":"UAV Applications and Optimization","score":0.06689999997615814,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.02630000002682209,"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/object-detection","display_name":"Object detection","score":0.6532999873161316},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.61080002784729},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5769000053405762},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5565999746322632},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5468000173568726},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5016999840736389},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5009999871253967},{"id":"https://openalex.org/keywords/backbone-network","display_name":"Backbone network","score":0.45339998602867126},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4027999937534332}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8240000009536743},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6532999873161316},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.61080002784729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6032999753952026},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5769000053405762},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5565999746322632},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5468000173568726},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5016999840736389},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5009999871253967},{"id":"https://openalex.org/C88796919","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Backbone network","level":2,"score":0.45339998602867126},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4433000087738037},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4027999937534332},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.3465000092983246},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.33180001378059387},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32190001010894775},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3199999928474426},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.3172000050544739},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.314300000667572},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.30869999527931213},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.302700012922287},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.29760000109672546},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.29580000042915344},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.265500009059906},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.2639000117778778},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.25690001249313354},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.25459998846054077},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.2538999915122986}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3634761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3634761","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1885185971","https://openalex.org/W2090042335","https://openalex.org/W2176924101","https://openalex.org/W2565639579","https://openalex.org/W2798405286","https://openalex.org/W2866634454","https://openalex.org/W2962858109","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2963729050","https://openalex.org/W2963857746","https://openalex.org/W2998213123","https://openalex.org/W3009396058","https://openalex.org/W3034971973","https://openalex.org/W3130754787","https://openalex.org/W3208645658","https://openalex.org/W3210997334","https://openalex.org/W4206913762","https://openalex.org/W4285248944","https://openalex.org/W4289792659","https://openalex.org/W4297676427","https://openalex.org/W4318718455","https://openalex.org/W4319303166","https://openalex.org/W4327652243","https://openalex.org/W4379033857","https://openalex.org/W4380905880","https://openalex.org/W4384207671","https://openalex.org/W4384519538","https://openalex.org/W4385804869","https://openalex.org/W4386075678","https://openalex.org/W4386090373","https://openalex.org/W4389352554","https://openalex.org/W4389633843","https://openalex.org/W4390604299","https://openalex.org/W4391365575","https://openalex.org/W4391365646","https://openalex.org/W4391559729","https://openalex.org/W4392904527","https://openalex.org/W4393033024","https://openalex.org/W4394858325","https://openalex.org/W4396605538","https://openalex.org/W4400111306","https://openalex.org/W4401856303","https://openalex.org/W4402754412","https://openalex.org/W4403770406","https://openalex.org/W4405303882","https://openalex.org/W4407782604","https://openalex.org/W4416748912"],"related_works":[],"abstract_inverted_index":{"In":[0],"Artificial":[1],"Intelligence":[2],"of":[3,111,146,171,185,188,218],"Things":[4],"(AIoT)-enabled":[5],"edge":[6],"sensing":[7,242],"systems,":[8],"unmanned":[9],"aerial":[10],"vehicles":[11],"have":[12],"emerged":[13],"as":[14],"the":[15,33,51,76,109,112,122,140,159,186,193,216],"dominant":[16],"low-altitude":[17],"monitoring":[18],"platform":[19],"owing":[20],"to":[21,95,178,211],"their":[22],"wide-area":[23],"coverage.":[24],"However,":[25],"in":[26,36,158],"large-scale":[27],"surveillance":[28],"scenarios,":[29],"sensor":[30],"limitations":[31],"and":[32,79,100,118,128,175,230],"inherent":[34],"difficulty":[35],"preserving":[37],"discriminative":[38],"features":[39,120],"for":[40,239],"tiny":[41],"targets":[42],"hinder":[43],"robust":[44],"small":[45,134],"object":[46,135],"detection.":[47],"Therefore,":[48],"we":[49,142],"propose":[50],"MSFR-DEF-YOLO":[52,167],"framework,":[53],"which":[54],"combines":[55],"densely":[56],"efficient":[57,82,237],"flow":[58],"YOLO":[59,151,160],"(DEF-YOLO)":[60],"with":[61],"multi-scale":[62,105],"feature":[63,72,90,102,126],"reconstruction":[64,127],"(MSFR)":[65],"auxiliary":[66,114],"branches.":[67],"We":[68],"first":[69],"enhance":[70],"fine-grained":[71],"extraction":[73],"by":[74,220],"optimizing":[75],"network":[77,147],"structure":[78],"integrating":[80],"an":[81,236],"downsampling":[83],"module":[84],"(EDM).":[85],"Next,":[86],"a":[87,144,199,205],"dynamic":[88],"dense":[89,97],"pyramid":[91],"(DDFP)":[92],"is":[93],"designed":[94],"incorporate":[96],"cross-layer":[98],"connections":[99],"bidirectional":[101],"flows,":[103],"enhancing":[104],"context":[106],"consistency.":[107],"Additionally,":[108],"introduction":[110],"MSFR":[113],"branch":[115],"integrates":[116],"shallow":[117],"deep":[119],"from":[121],"backbone":[123],"network,":[124],"enabling":[125],"information":[129],"compensation,":[130],"thereby":[131,226],"further":[132,191],"improving":[133],"detection":[136],"capabilities.":[137],"To":[138,190],"verify":[139],"improvements,":[141],"tested":[143],"range":[145],"configurations":[148],"on":[149,163],"different":[150],"versions.":[152],"Our":[153],"model":[154,202,214],"outperforms":[155],"other":[156],"versions":[157],"series.":[161],"Moreover,":[162],"four":[164],"public":[165],"datasets,":[166],"achieves":[168],"mAP50":[169],"improvements":[170],"8.8%,":[172],"6.9%,":[173],"1.8%,":[174],"6%":[176],"compared":[177],"YOLOv8n,":[179],"all":[180],"while":[181,222],"using":[182],"only":[183],"20%":[184],"parameters":[187,219],"YOLOv8n.":[189],"reduce":[192],"computational":[194,228],"overhead,":[195],"this":[196,213],"paper":[197],"proposes":[198],"lightweight":[200],"MSFR-L-YOLO":[201],"that":[203],"utilizes":[204],"unidirectional":[206],"path":[207],"neck":[208],"design.":[209],"Compared":[210],"MSFR-DEF-YOLO,":[212],"reduces":[215],"number":[217],"15%":[221],"maintaining":[223],"high":[224],"efficiency,":[225],"reducing":[227],"requirements":[229],"achieving":[231],"comparable":[232],"accuracy.":[233],"This":[234],"provides":[235],"solution":[238],"AIoT-enabled":[240],"airborne":[241],"systems.":[243]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-11-20T00:00:00"}