{"id":"https://openalex.org/W4401908051","doi":"https://doi.org/10.3390/rs16173169","title":"MCG-RTDETR: Multi-Convolution and Context-Guided Network with Cascaded Group Attention for Object Detection in Unmanned Aerial Vehicle Imagery","display_name":"MCG-RTDETR: Multi-Convolution and Context-Guided Network with Cascaded Group Attention for Object Detection in Unmanned Aerial Vehicle Imagery","publication_year":2024,"publication_date":"2024-08-27","ids":{"openalex":"https://openalex.org/W4401908051","doi":"https://doi.org/10.3390/rs16173169"},"language":"en","primary_location":{"id":"doi:10.3390/rs16173169","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16173169","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/rs16173169","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088611339","display_name":"Chushi Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chushi Yu","raw_affiliation_strings":["School of Electronic Engineering, Soongsil University, Seoul 06978, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Soongsil University, Seoul 06978, Republic of Korea","institution_ids":["https://openalex.org/I141371507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015026961","display_name":"Yoan Shin","orcid":"https://orcid.org/0000-0002-4722-6387"},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Yoan Shin","raw_affiliation_strings":["School of Electronic Engineering, Soongsil University, Seoul 06978, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Soongsil University, Seoul 06978, Republic of Korea","institution_ids":["https://openalex.org/I141371507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015026961"],"corresponding_institution_ids":["https://openalex.org/I141371507"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":5.8062,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.97148994,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"16","issue":"17","first_page":"3169","last_page":"3169"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9980000257492065,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9972000122070312,"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":0.7953655123710632},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7722733020782471},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6592331528663635},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6457089781761169},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6115412712097168},{"id":"https://openalex.org/keywords/aerial-imagery","display_name":"Aerial imagery","score":0.5030736327171326},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42056846618652344},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4124568700790405},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2404785454273224}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7953655123710632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7722733020782471},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6592331528663635},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6457089781761169},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6115412712097168},{"id":"https://openalex.org/C2987819851","wikidata":"https://www.wikidata.org/wiki/Q191839","display_name":"Aerial imagery","level":2,"score":0.5030736327171326},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42056846618652344},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4124568700790405},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2404785454273224},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs16173169","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16173169","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7fe5c8c7590344c19e4fea0214d9dfc6","is_oa":true,"landing_page_url":"https://doaj.org/article/7fe5c8c7590344c19e4fea0214d9dfc6","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 17, p 3169 (2024)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/16/17/3169/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs16173169","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs16173169","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16173169","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1148114188","display_name":null,"funder_award_id":"RS-2023-00251595","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G242700506","display_name":null,"funder_award_id":"IITP-2024-RS-2023-00258639","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G4858548665","display_name":null,"funder_award_id":"No. RS-2023-00251595","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"}],"funders":[{"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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2800388963","https://openalex.org/W2913087080","https://openalex.org/W2924873663","https://openalex.org/W2963037989","https://openalex.org/W2963346150","https://openalex.org/W2963351448","https://openalex.org/W2963857746","https://openalex.org/W2964241181","https://openalex.org/W2966926453","https://openalex.org/W2994619704","https://openalex.org/W2996735448","https://openalex.org/W3016641475","https://openalex.org/W3034971973","https://openalex.org/W3035396860","https://openalex.org/W3096609285","https://openalex.org/W3102710196","https://openalex.org/W3103461182","https://openalex.org/W3106250896","https://openalex.org/W3112503277","https://openalex.org/W3119129845","https://openalex.org/W3137746351","https://openalex.org/W3154577870","https://openalex.org/W3168844623","https://openalex.org/W3171660447","https://openalex.org/W3203247393","https://openalex.org/W3210997334","https://openalex.org/W4214841728","https://openalex.org/W4226154274","https://openalex.org/W4307411363","https://openalex.org/W4312751983","https://openalex.org/W4361285851","https://openalex.org/W4386076539","https://openalex.org/W4387757656","https://openalex.org/W4388823657","https://openalex.org/W6739901393","https://openalex.org/W6779586474"],"related_works":["https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W3210378990","https://openalex.org/W3034745255","https://openalex.org/W4254103348","https://openalex.org/W2342958307","https://openalex.org/W2911469306","https://openalex.org/W4396860960","https://openalex.org/W4283327355"],"abstract_inverted_index":{"In":[0,67],"recent":[1],"years,":[2],"object":[3,51,109],"detection":[4,52,79,110],"in":[5,20,29,111,147],"unmanned":[6],"aerial":[7],"vehicle":[8],"(UAV)":[9],"imagery":[10],"has":[11],"been":[12],"a":[13,88,93,102],"prominent":[14],"and":[15,22,43,64,84,101,130,145],"crucial":[16],"task,":[17],"with":[18,61,82,98],"advancements":[19],"drone":[21],"remote":[23],"sensing":[24],"technologies.":[25],"However,":[26],"detecting":[27],"targets":[28],"UAV":[30,112],"images":[31],"pose":[32],"challenges":[33],"such":[34],"as":[35],"complex":[36,148],"background,":[37],"severe":[38],"occlusion,":[39],"dense":[40],"small":[41],"targets,":[42],"lighting":[44],"conditions.":[45],"Despite":[46],"the":[47,77,117,125,142],"notable":[48],"progress":[49],"of":[50,128,132],"algorithms":[53],"based":[54,75],"on":[55,76,116],"deep":[56],"learning,":[57],"they":[58],"still":[59],"struggle":[60],"missed":[62],"detections":[63],"false":[65],"alarms.":[66],"this":[68],"work,":[69],"we":[70],"introduce":[71],"an":[72],"MCG-RTDETR":[73],"approach":[74,123],"real-time":[78],"transformer":[80],"(RT-DETR)":[81],"dual":[83],"deformable":[85],"convolution":[86],"modules,":[87],"cascaded":[89],"group":[90],"attention":[91],"module,":[92],"context-guided":[94,99],"feature":[95],"fusion":[96],"structure":[97],"downsampling,":[100],"more":[103],"flexible":[104],"prediction":[105],"head":[106],"for":[107],"precise":[108],"imagery.":[113],"Experimental":[114],"outcomes":[115],"VisDrone2019":[118],"dataset":[119],"illustrate":[120],"that":[121],"our":[122],"achieves":[124],"highest":[126],"AP":[127],"29.7%":[129],"AP50":[131],"58.2%,":[133],"surpassing":[134],"several":[135],"cutting-edge":[136],"algorithms.":[137],"Visual":[138],"results":[139],"further":[140],"validate":[141],"model\u2019s":[143],"robustness":[144],"capability":[146],"environments.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":4}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}
