{"id":"https://openalex.org/W3023990722","doi":"https://doi.org/10.1109/access.2020.2992647","title":"Multi-Scale Aerial Target Detection Based on Densely Connected Inception ResNet","display_name":"Multi-Scale Aerial Target Detection Based on Densely Connected Inception ResNet","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3023990722","doi":"https://doi.org/10.1109/access.2020.2992647","mag":"3023990722"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2992647","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2992647","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09086446.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/ielx7/6287639/8948470/09086446.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101444333","display_name":"Miaohui Zhang","orcid":"https://orcid.org/0000-0003-3351-5169"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Miaohui Zhang","raw_affiliation_strings":["Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, China","Institute of Data and Knowledge Engineering, Henan University, Kaifeng, China"],"affiliations":[{"raw_affiliation_string":"Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, China","institution_ids":["https://openalex.org/I173899330"]},{"raw_affiliation_string":"Institute of Data and Knowledge Engineering, Henan University, Kaifeng, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048522567","display_name":"Kangning Pang","orcid":"https://orcid.org/0000-0003-1259-7310"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kangning Pang","raw_affiliation_strings":["Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, China"],"affiliations":[{"raw_affiliation_string":"Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059647126","display_name":"Chengcheng Gao","orcid":"https://orcid.org/0000-0001-5206-9905"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengcheng Gao","raw_affiliation_strings":["Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, China"],"affiliations":[{"raw_affiliation_string":"Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101666208","display_name":"Ming Xin","orcid":"https://orcid.org/0000-0002-9379-3710"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Xin","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101444333"],"corresponding_institution_ids":["https://openalex.org/I173899330"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.0802,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.79591124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"84867","last_page":"84878"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.9961000084877014,"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":0.7102943658828735},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6941573023796082},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.634311318397522},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6113357543945312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5760936737060547},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.538270115852356},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5098151564598083},{"id":"https://openalex.org/keywords/residual-neural-network","display_name":"Residual neural network","score":0.505418062210083},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47737666964530945},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.476794958114624},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4458501935005188},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4387645423412323},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43371325731277466},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.335326611995697},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18041950464248657},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1649247705936432},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.11517125368118286},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09957492351531982},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.0728614330291748}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7102943658828735},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6941573023796082},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.634311318397522},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6113357543945312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5760936737060547},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.538270115852356},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5098151564598083},{"id":"https://openalex.org/C2944601119","wikidata":"https://www.wikidata.org/wiki/Q43744058","display_name":"Residual neural network","level":3,"score":0.505418062210083},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47737666964530945},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.476794958114624},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4458501935005188},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4387645423412323},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43371325731277466},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.335326611995697},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18041950464248657},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1649247705936432},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.11517125368118286},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09957492351531982},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0728614330291748},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2992647","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2992647","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09086446.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:10c49a29c1d34314a318fd27c2cd6c90","is_oa":true,"landing_page_url":"https://doaj.org/article/10c49a29c1d34314a318fd27c2cd6c90","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 8, Pp 84867-84878 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2992647","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2992647","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09086446.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/11","display_name":"Sustainable cities and communities","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2082826544","display_name":null,"funder_award_id":"Postdoctoral","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2802911279","display_name":null,"funder_award_id":"Young","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3057017908","display_name":null,"funder_award_id":"6180211","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5066884268","display_name":null,"funder_award_id":"19A520002","funder_id":"https://openalex.org/F4320322770","funder_display_name":"Foundation of Henan Educational Committee"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8054353792","display_name":null,"funder_award_id":"61802111","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322770","display_name":"Foundation of Henan Educational Committee","ror":"https://ror.org/00xvf9d29"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3023990722.pdf","grobid_xml":"https://content.openalex.org/works/W3023990722.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1509484218","https://openalex.org/W1536680647","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2245000483","https://openalex.org/W2270801692","https://openalex.org/W2412588858","https://openalex.org/W2442495293","https://openalex.org/W2461725797","https://openalex.org/W2490270993","https://openalex.org/W2512351403","https://openalex.org/W2522520073","https://openalex.org/W2564429410","https://openalex.org/W2570343428","https://openalex.org/W2579985080","https://openalex.org/W2593253300","https://openalex.org/W2607013913","https://openalex.org/W2625219738","https://openalex.org/W2773495332","https://openalex.org/W2779335303","https://openalex.org/W2803465596","https://openalex.org/W2855340099","https://openalex.org/W2950800384","https://openalex.org/W2962749812","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963307811","https://openalex.org/W2963720440","https://openalex.org/W2963809933","https://openalex.org/W2963840672","https://openalex.org/W2984966510","https://openalex.org/W2986049086","https://openalex.org/W2991682101","https://openalex.org/W2999178925","https://openalex.org/W3002387699","https://openalex.org/W3099576037","https://openalex.org/W3106250896","https://openalex.org/W4293584584","https://openalex.org/W6696085341","https://openalex.org/W6714138976","https://openalex.org/W6732243160","https://openalex.org/W6743555153","https://openalex.org/W6746776673","https://openalex.org/W6750227808","https://openalex.org/W6753033036","https://openalex.org/W6785652829","https://openalex.org/W6967100175"],"related_works":["https://openalex.org/W3196952692","https://openalex.org/W2984708981","https://openalex.org/W4300939921","https://openalex.org/W4383097772","https://openalex.org/W2964350391","https://openalex.org/W2274287116","https://openalex.org/W3213976941","https://openalex.org/W2897517148","https://openalex.org/W2969228573","https://openalex.org/W2967403871"],"abstract_inverted_index":{"With":[0],"the":[1,26,36,45,55,85,89,112,118,128,140,146,149,175,178,186,194],"rapid":[2],"development":[3],"of":[4,20,29,39,47,96,142,177],"unmanned":[5],"aerial":[6,9,21,33],"vehicles":[7],"(UAVs),":[8],"targets":[10,31,49],"detection":[11,23,76],"has":[12,108],"attracted":[13],"extensive":[14],"attention":[15],"from":[16,165],"researchers.":[17],"The":[18,92,125,156],"difficulty":[19],"image":[22],"lies":[24],"in":[25,32,106,131],"small":[27,48],"proportion":[28],"ground":[30],"images":[34],"and":[35,88,100,115,134,144,162,168,189,198],"wide":[37],"variety":[38],"target":[40],"sizes.":[41],"After":[42],"multiple":[43],"down-sampling,":[44],"features":[46],"are":[50],"almost":[51],"not":[52],"available":[53],"on":[54,117],"feature":[56,130],"maps.":[57],"To":[58],"address":[59],"these":[60],"drawbacks,":[61],"a":[62,72,132],"densely":[63,97],"connected":[64,98],"Inception":[65],"ResNet":[66],"(RIDNet)":[67],"is":[68,71],"proposed.":[69],"RIDNet":[70],"lightweight":[73],"multi-scale":[74],"fusion":[75,154],"network":[77],"constructed":[78],"with":[79,148],"two":[80],"residual":[81,133],"inception":[82],"units":[83],"(RI):":[84],"RI-Dense":[86,93,107,143,187],"model":[87,94,188,191],"RI-Deconv":[90,126,190],"model.":[91],"consists":[95],"layers":[99,114,158,167],"shortcut":[101],"connections.":[102],"Each":[103],"convolutional":[104],"layer":[105],"access":[109],"to":[110,122,152],"all":[111],"subsequent":[113],"passes":[116],"information":[119,161,164],"that":[120,185],"needs":[121],"be":[123],"preserved.":[124],"fuses":[127],"global":[129],"hierarchical":[135],"way,":[136],"which":[137],"continuously":[138],"deconvolutes":[139],"output":[141,151],"concatenates":[145],"result":[147],"original":[150],"get":[153],"layers.":[155],"fused":[157],"absorb":[159],"semantic":[160],"detailed":[163],"deep":[166],"shallow":[169],"layers,":[170],"respectively.":[171,200],"Extensive":[172],"experiments":[173,182],"show":[174],"effectiveness":[176],"proposed":[179],"RIDNet.":[180],"Ablation":[181],"also":[183],"demonstrate":[184],"can":[192],"improve":[193],"mAP":[195],"by":[196],"7.8%":[197],"6.8%,":[199]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
