{"id":"https://openalex.org/W7128164395","doi":"https://doi.org/10.3390/jimaging12020069","title":"YOLO11s-UAV: An Advanced Algorithm for Small Object Detection in UAV Aerial Imagery","display_name":"YOLO11s-UAV: An Advanced Algorithm for Small Object Detection in UAV Aerial Imagery","publication_year":2026,"publication_date":"2026-02-06","ids":{"openalex":"https://openalex.org/W7128164395","doi":"https://doi.org/10.3390/jimaging12020069","pmid":"https://pubmed.ncbi.nlm.nih.gov/41745434"},"language":"en","primary_location":{"id":"doi:10.3390/jimaging12020069","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging12020069","pdf_url":null,"source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"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":"Journal of Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/jimaging12020069","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026122096","display_name":"Q. Mi","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210119098","display_name":"Fujian Institute of Research on the Structure of Matter","ror":"https://ror.org/02j89k719","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119098"]},{"id":"https://openalex.org/I4210151023","display_name":"Quanzhou Institute of Equipment Manufacturing Haixi Institute","ror":"https://ror.org/05ev3vr27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151023"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I61057504","display_name":"Fujian Agriculture and Forestry University","ror":"https://ror.org/04kx2sy84","country_code":"CN","type":"education","lineage":["https://openalex.org/I61057504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Mi","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou 350108, China","Fujian College, University of Chinese Academy of Sciences, Fuzhou 350025, China","Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350025, China","Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Quanzhou 362216, China"],"raw_orcid":"https://orcid.org/0009-0004-5922-4364","affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou 350108, China","institution_ids":["https://openalex.org/I61057504"]},{"raw_affiliation_string":"Fujian College, University of Chinese Academy of Sciences, Fuzhou 350025, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350025, China","institution_ids":["https://openalex.org/I4210119098"]},{"raw_affiliation_string":"Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Quanzhou 362216, China","institution_ids":["https://openalex.org/I4210151023","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071007618","display_name":"Jianshu Chao","orcid":"https://orcid.org/0000-0002-7197-5919"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210119098","display_name":"Fujian Institute of Research on the Structure of Matter","ror":"https://ror.org/02j89k719","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119098"]},{"id":"https://openalex.org/I4210151023","display_name":"Quanzhou Institute of Equipment Manufacturing Haixi Institute","ror":"https://ror.org/05ev3vr27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151023"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianshu Chao","raw_affiliation_strings":["Fujian College, University of Chinese Academy of Sciences, Fuzhou 350025, China","Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350025, China","Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Quanzhou 362216, China"],"raw_orcid":"https://orcid.org/0000-0002-7197-5919","affiliations":[{"raw_affiliation_string":"Fujian College, University of Chinese Academy of Sciences, Fuzhou 350025, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350025, China","institution_ids":["https://openalex.org/I4210119098"]},{"raw_affiliation_string":"Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Quanzhou 362216, China","institution_ids":["https://openalex.org/I4210151023","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125272758","display_name":"Anqi Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210119098","display_name":"Fujian Institute of Research on the Structure of Matter","ror":"https://ror.org/02j89k719","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119098"]},{"id":"https://openalex.org/I4210151023","display_name":"Quanzhou Institute of Equipment Manufacturing Haixi Institute","ror":"https://ror.org/05ev3vr27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151023"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I61057504","display_name":"Fujian Agriculture and Forestry University","ror":"https://ror.org/04kx2sy84","country_code":"CN","type":"education","lineage":["https://openalex.org/I61057504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anqi Chen","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou 350108, China","Fujian College, University of Chinese Academy of Sciences, Fuzhou 350025, China","Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350025, China","Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Quanzhou 362216, China"],"raw_orcid":"https://orcid.org/0009-0000-2993-450X","affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou 350108, China","institution_ids":["https://openalex.org/I61057504"]},{"raw_affiliation_string":"Fujian College, University of Chinese Academy of Sciences, Fuzhou 350025, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350025, China","institution_ids":["https://openalex.org/I4210119098"]},{"raw_affiliation_string":"Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Quanzhou 362216, China","institution_ids":["https://openalex.org/I4210151023","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kaiyuan Zhang","orcid":"https://orcid.org/0009-0007-0991-9784"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210119098","display_name":"Fujian Institute of Research on the Structure of Matter","ror":"https://ror.org/02j89k719","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119098"]},{"id":"https://openalex.org/I4210151023","display_name":"Quanzhou Institute of Equipment Manufacturing Haixi Institute","ror":"https://ror.org/05ev3vr27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151023"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiyuan Zhang","raw_affiliation_strings":["Fujian College, University of Chinese Academy of Sciences, Fuzhou 350025, China","Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350025, China","Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Quanzhou 362216, China","School of Advanced Manufacturing, Fuzhou University, Quanzhou 362251, China"],"raw_orcid":"https://orcid.org/0009-0007-0991-9784","affiliations":[{"raw_affiliation_string":"Fujian College, University of Chinese Academy of Sciences, Fuzhou 350025, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350025, China","institution_ids":["https://openalex.org/I4210119098"]},{"raw_affiliation_string":"Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Quanzhou 362216, China","institution_ids":["https://openalex.org/I4210151023","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Advanced Manufacturing, Fuzhou University, Quanzhou 362251, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5125281793","display_name":"Jiahua Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210119098","display_name":"Fujian Institute of Research on the Structure of Matter","ror":"https://ror.org/02j89k719","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119098"]},{"id":"https://openalex.org/I4210151023","display_name":"Quanzhou Institute of Equipment Manufacturing Haixi Institute","ror":"https://ror.org/05ev3vr27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151023"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahua Lai","raw_affiliation_strings":["Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350025, China","Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Quanzhou 362216, China"],"raw_orcid":"https://orcid.org/0009-0008-2179-6745","affiliations":[{"raw_affiliation_string":"Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350025, China","institution_ids":["https://openalex.org/I4210119098"]},{"raw_affiliation_string":"Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Quanzhou 362216, China","institution_ids":["https://openalex.org/I4210151023","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5071007618"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210119098","https://openalex.org/I4210151023","https://openalex.org/I4210165038"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":49.8509,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.99741755,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"12","issue":"2","first_page":"69","last_page":"69"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.8212000131607056,"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":0.8212000131607056,"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":0.0414000004529953,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.021700000390410423,"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/upsampling","display_name":"Upsampling","score":0.7484999895095825},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7149999737739563},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6801000237464905},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6525999903678894},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.5232999920845032},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5127999782562256},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5013999938964844},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4691999852657318},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.44909998774528503}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8319000005722046},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.7484999895095825},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7149999737739563},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6801000237464905},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6525999903678894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.63919997215271},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5503000020980835},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.5232999920845032},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5127999782562256},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5013999938964844},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4691999852657318},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.44909998774528503},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.42829999327659607},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4260999858379364},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4203000068664551},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.38600000739097595},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3675999939441681},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3589000105857849},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.3555999994277954},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.31279999017715454},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3075999915599823},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.30329999327659607},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.2973000109195709},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.28760001063346863},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2824999988079071},{"id":"https://openalex.org/C2987819851","wikidata":"https://www.wikidata.org/wiki/Q191839","display_name":"Aerial imagery","level":2,"score":0.27950000762939453}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/jimaging12020069","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging12020069","pdf_url":null,"source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"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":"Journal of Imaging","raw_type":"journal-article"},{"id":"pmid:41745434","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41745434","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of imaging","raw_type":null},{"id":"pmh:oai:doaj.org/article:a7f9441c372f41a4b2c3a4386dd0916a","is_oa":false,"landing_page_url":"https://doaj.org/article/a7f9441c372f41a4b2c3a4386dd0916a","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Imaging, Vol 12, Iss 2, p 69 (2026)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:12942582","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12942582/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"J Imaging","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/jimaging12020069","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging12020069","pdf_url":null,"source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"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":"Journal of Imaging","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.686263382434845}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Unmanned":[0],"aerial":[1,43,68],"vehicles":[2],"(UAVs)":[3],"are":[4],"now":[5],"widely":[6],"used":[7],"in":[8,38,42,116,181],"various":[9],"applications,":[10],"including":[11,25],"agriculture,":[12],"urban":[13],"traffic":[14],"management,":[15],"and":[16,18,45,79,133,204,235],"search":[17],"rescue":[19],"operations.":[20],"However,":[21],"several":[22],"challenges":[23],"arise,":[24],"the":[26,117,135,160,169,189,199,208,216,232,243],"small":[27,60,88,105,178],"size":[28],"of":[29,36,137,177],"objects":[30],"occupying":[31],"only":[32,167],"a":[33,73,100,143,228,236],"sparse":[34],"number":[35],"pixels":[37],"images,":[39],"complex":[40,182],"backgrounds":[41],"footage,":[44],"limited":[46],"computational":[47],"resources":[48],"onboard.":[49],"To":[50],"address":[51],"these":[52],"issues,":[53],"this":[54],"paper":[55],"proposes":[56],"an":[57],"improved":[58,164],"UAV-based":[59],"object":[61,89,106,179],"detection":[62,91],"algorithm,":[63],"YOLO11s-UAV,":[64],"specifically":[65],"designed":[66],"for":[67,104,111,266],"imagery.":[69],"Firstly,":[70],"we":[71,98,141],"introduce":[72],"novel":[74],"FPN,":[75],"called":[76,109],"Content-Aware":[77],"Reassembly":[78],"Interaction":[80],"Feature":[81],"Pyramid":[82],"Network":[83],"(CARIFPN),":[84],"which":[85,156,257],"significantly":[86],"enhances":[87],"feature":[90,107],"while":[92,219],"reducing":[93,220],"redundant":[94],"network":[95],"structures.":[96],"Secondly,":[97],"apply":[99],"new":[101],"downsampling":[102],"convolution":[103,129],"extraction,":[108],"Space-to-Depth":[110],"Dilation-wise":[112],"Residual":[113],"Convolution":[114],"(S2DResConv),":[115],"model's":[118,170],"backbone.":[119],"This":[120,163],"module":[121,147,165],"effectively":[122],"eliminates":[123],"information":[124],"loss":[125],"caused":[126],"by":[127,196,205,223],"strided":[128],"or":[130],"pooling":[131],"operations":[132],"facilitates":[134],"capture":[136],"multi-scale":[138],"context.":[139],"Finally,":[140],"integrate":[142],"simple,":[144],"parameter-free":[145],"attention":[146],"(SimAM)":[148],"with":[149],"C3k2":[150],"to":[151,212,215],"form":[152],"Flexible":[153],"SimAM":[154],"(FlexSimAM),":[155],"is":[157,258],"applied":[158],"throughout":[159],"entire":[161],"model.":[162],"not":[166],"reduces":[168],"complexity":[171],"but":[172],"also":[173],"enables":[174],"efficient":[175],"enhancement":[176],"features":[180],"scenarios.":[183],"Experimental":[184],"results":[185],"demonstrate":[186],"that":[187,251],"on":[188,198,207,231,239,242],"VisDrone-DET2019":[190],"dataset,":[191],"our":[192,252],"model":[193,221,253],"improves":[194],"mAP@0.5":[195],"7.8%":[197],"validation":[200],"set":[201,210],"(reaching":[202],"46.0%)":[203],"5.9%":[206],"test":[209],"(increasing":[211],"37.3%)":[213],"compared":[214],"baseline":[217],"YOLO11s,":[218,262],"parameters":[222],"55.3%.":[224],"Similarly,":[225],"it":[226],"achieves":[227,254],"7.2%":[229],"improvement":[230],"TinyPerson":[233],"dataset":[234],"3.0%":[237],"increase":[238],"UAVDT-DET.":[240],"Deployment":[241],"NVIDIA":[244],"Jetson":[245],"Orin":[246],"NX":[247],"SUPER":[248],"platform":[249],"shows":[250],"33":[255],"FPS,":[256],"21.4%":[259],"lower":[260],"than":[261],"confirming":[263],"its":[264],"feasibility":[265],"real-time":[267],"onboard":[268],"UAV":[269],"applications.":[270]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2026-02-07T00:00:00"}