{"id":"https://openalex.org/W7125934118","doi":"https://doi.org/10.1109/smc58881.2025.11343352","title":"YOLO-EMR: Efficient Multi-Scale and Rotated Object Detection in UAV Aerial Imagery","display_name":"YOLO-EMR: Efficient Multi-Scale and Rotated Object Detection in UAV Aerial Imagery","publication_year":2025,"publication_date":"2025-10-05","ids":{"openalex":"https://openalex.org/W7125934118","doi":"https://doi.org/10.1109/smc58881.2025.11343352"},"language":null,"primary_location":{"id":"doi:10.1109/smc58881.2025.11343352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-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/A5109767010","display_name":"Haimin Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Haimin Yan","raw_affiliation_strings":["Ritsumeikan University,Graduate School of Science and Engineering,Shiga,Japan"],"affiliations":[{"raw_affiliation_string":"Ritsumeikan University,Graduate School of Science and Engineering,Shiga,Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091149976","display_name":"Xiangbo Kong","orcid":"https://orcid.org/0000-0002-0648-2552"},"institutions":[{"id":"https://openalex.org/I63216439","display_name":"Toyama Prefectural University","ror":"https://ror.org/03xgh2v50","country_code":"JP","type":"education","lineage":["https://openalex.org/I63216439"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xiangbo Kong","raw_affiliation_strings":["Toyama Prefectural University,Faculty of Information Engineering,Department of Intelligent Robotics,Toyama,Japan"],"affiliations":[{"raw_affiliation_string":"Toyama Prefectural University,Faculty of Information Engineering,Department of Intelligent Robotics,Toyama,Japan","institution_ids":["https://openalex.org/I63216439"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079194190","display_name":"Tomoyasu Shimada","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoyasu Shimada","raw_affiliation_strings":["Ritsumeikan University,Graduate School of Science and Engineering,Shiga,Japan"],"affiliations":[{"raw_affiliation_string":"Ritsumeikan University,Graduate School of Science and Engineering,Shiga,Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101468096","display_name":"Juncheng Wang","orcid":"https://orcid.org/0009-0003-3495-5526"},"institutions":[{"id":"https://openalex.org/I6507939","display_name":"China United Network Communications Group (China)","ror":"https://ror.org/028w99c90","country_code":"CN","type":"company","lineage":["https://openalex.org/I6507939"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juncheng Wang","raw_affiliation_strings":["China United Network Communications Corporation,Chongqing Branch,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"China United Network Communications Corporation,Chongqing Branch,Chongqing,China","institution_ids":["https://openalex.org/I6507939"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124107928","display_name":"Hiroyuki Tomiyama","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroyuki Tomiyama","raw_affiliation_strings":["Ritsumeikan University,College of Science and Engineering,Shiga,Japan"],"affiliations":[{"raw_affiliation_string":"Ritsumeikan University,College of Science and Engineering,Shiga,Japan","institution_ids":["https://openalex.org/I135768898"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5109767010"],"corresponding_institution_ids":["https://openalex.org/I135768898"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.72853279,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1155","last_page":"1160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.8486999869346619,"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":0.8486999869346619,"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":0.07909999787807465,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.0066999997943639755,"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/object-detection","display_name":"Object detection","score":0.8651999831199646},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6384000182151794},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6158000230789185},{"id":"https://openalex.org/keywords/viola\u2013jones-object-detection-framework","display_name":"Viola\u2013Jones object detection framework","score":0.5347999930381775},{"id":"https://openalex.org/keywords/aerial-imagery","display_name":"Aerial imagery","score":0.49939998984336853},{"id":"https://openalex.org/keywords/object-class-detection","display_name":"Object-class detection","score":0.48069998621940613},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.3801000118255615}],"concepts":[{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.8651999831199646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7495999932289124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7063999772071838},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.659600019454956},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6384000182151794},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6158000230789185},{"id":"https://openalex.org/C182521987","wikidata":"https://www.wikidata.org/wiki/Q2493877","display_name":"Viola\u2013Jones object detection framework","level":5,"score":0.5347999930381775},{"id":"https://openalex.org/C2987819851","wikidata":"https://www.wikidata.org/wiki/Q191839","display_name":"Aerial imagery","level":2,"score":0.49939998984336853},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.48069998621940613},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.3801000118255615},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.375},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3529999852180481},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3052999973297119},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.30239999294281006},{"id":"https://openalex.org/C3019973339","wikidata":"https://www.wikidata.org/wiki/Q899523","display_name":"Object based","level":3,"score":0.29840001463890076},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.29440000653266907},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2939999997615814},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27950000762939453},{"id":"https://openalex.org/C20894473","wikidata":"https://www.wikidata.org/wiki/Q1116105","display_name":"Object model","level":3,"score":0.2752000093460083}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc58881.2025.11343352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2896155169","https://openalex.org/W2964241181","https://openalex.org/W2991363140","https://openalex.org/W3208645658","https://openalex.org/W3210586215","https://openalex.org/W4214648418","https://openalex.org/W4310609587","https://openalex.org/W4390638513","https://openalex.org/W4390874500","https://openalex.org/W4396918124","https://openalex.org/W4402727337","https://openalex.org/W4403770406","https://openalex.org/W4403888247","https://openalex.org/W4415795831"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,35,60,80,118,136,149,177,182],"rapid":[2],"development":[3],"of":[4],"UAVs,":[5],"object":[6,75,100,109,123,146],"detection":[7,19,66,81,101,110,124,147,157,179],"in":[8,88,111,121,125],"aerial":[9],"imagery":[10],"has":[11],"become":[12],"an":[13],"important":[14],"techniques.":[15],"However,":[16],"deploying":[17],"real-time":[18],"models":[20],"on":[21,73],"UAV":[22],"platforms":[23],"remains":[24],"highly":[25],"challenging":[26],"due":[27],"to":[28,51,115,134,144],"limited":[29],"computational":[30],"costs,":[31],"as":[32,34,181],"well":[33],"multi-scale":[36,84,106],"objects":[37,87],"and":[38,65,85,107,161,169],"dense":[39],"distribution":[40],"caused":[41],"by":[42,166,173],"high-altitude":[43,89,112,126],"imaging.":[44],"Numerous":[45],"studies":[46],"have":[47],"contributed":[48],"valuable":[49],"insights":[50],"address":[52,92],"these":[53,93],"challenges,":[54],"yet":[55],"opportunities":[56],"remain":[57],"for":[58,83,105],"improving":[59,170],"balance":[61,155],"between":[62,156],"model":[63,102,151,159],"efficiency":[64],"accuracy.":[67],"Moreover,":[68],"current":[69],"research":[70],"mainly":[71],"focuses":[72],"small":[74],"detection,":[76],"without":[77],"fully":[78],"considering":[79],"requirements":[82],"rotated":[86,108],"imagery.":[90,113],"To":[91],"issues,":[94],"this":[95,128],"paper":[96],"proposes":[97],"a":[98,141,153],"lightweight":[99],"specifically":[103],"designed":[104],"Furthermore,":[114],"better":[116],"evaluate":[117],"model\u2019s":[119,137],"performance":[120],"UAV-based":[122],"imagery,":[127],"work":[129],"uses":[130],"VisDrone":[131],"2019":[132],"dataset":[133],"assess":[135],"real-world":[138],"performance.":[139],"As":[140],"results,":[142],"compared":[143],"existing":[145],"approaches,":[148],"proposed":[150],"achieves":[152],"strong":[154],"accuracy,":[158],"efficiency,":[160],"inference":[162,171],"speed,":[163],"reducing":[164],"parameters":[165],"approximately":[167],"31%":[168],"speed":[172],"25%,":[174],"while":[175],"maintaining":[176],"same":[178],"accuracy":[180],"best":[183],"baseline":[184],"methods.":[185]},"counts_by_year":[],"updated_date":"2026-02-23T20:09:44.859080","created_date":"2026-01-29T00:00:00"}
