{"id":"https://openalex.org/W4384636555","doi":"https://doi.org/10.3390/rs15143583","title":"Unmanned Aerial Vehicle Perspective Small Target Recognition Algorithm Based on Improved YOLOv5","display_name":"Unmanned Aerial Vehicle Perspective Small Target Recognition Algorithm Based on Improved YOLOv5","publication_year":2023,"publication_date":"2023-07-17","ids":{"openalex":"https://openalex.org/W4384636555","doi":"https://doi.org/10.3390/rs15143583"},"language":"en","primary_location":{"id":"doi:10.3390/rs15143583","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15143583","pdf_url":"https://www.mdpi.com/2072-4292/15/14/3583/pdf?version=1689662053","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://www.mdpi.com/2072-4292/15/14/3583/pdf?version=1689662053","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019497769","display_name":"He Xu","orcid":"https://orcid.org/0000-0003-2809-2237"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]},{"id":"https://openalex.org/I4210153300","display_name":"Shanghai Research Center for Wireless Communications","ror":"https://ror.org/04xfd0826","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210153300"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Xu","raw_affiliation_strings":["Jiangsu HPC and Intelligent Processing Engineer Research Center, Nanjing 210023, China","Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing 210023, China","School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu HPC and Intelligent Processing Engineer Research Center, Nanjing 210023, China","institution_ids":[]},{"raw_affiliation_string":"Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing 210023, China","institution_ids":["https://openalex.org/I4210153300"]},{"raw_affiliation_string":"School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100537673","display_name":"Wenlong Zheng","orcid":"https://orcid.org/0009-0003-5976-7388"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]},{"id":"https://openalex.org/I4210153300","display_name":"Shanghai Research Center for Wireless Communications","ror":"https://ror.org/04xfd0826","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210153300"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenlong Zheng","raw_affiliation_strings":["Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing 210023, China","School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing 210023, China","institution_ids":["https://openalex.org/I4210153300"]},{"raw_affiliation_string":"School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068127559","display_name":"Fengxuan Liu","orcid":"https://orcid.org/0000-0002-9297-8035"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]},{"id":"https://openalex.org/I4210153300","display_name":"Shanghai Research Center for Wireless Communications","ror":"https://ror.org/04xfd0826","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210153300"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengxuan Liu","raw_affiliation_strings":["Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing 210023, China","School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing 210023, China","institution_ids":["https://openalex.org/I4210153300"]},{"raw_affiliation_string":"School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432613","display_name":"Peng Li","orcid":"https://orcid.org/0000-0001-5026-5347"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]},{"id":"https://openalex.org/I4210153300","display_name":"Shanghai Research Center for Wireless Communications","ror":"https://ror.org/04xfd0826","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210153300"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Li","raw_affiliation_strings":["Jiangsu HPC and Intelligent Processing Engineer Research Center, Nanjing 210023, China","Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing 210023, China","School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu HPC and Intelligent Processing Engineer Research Center, Nanjing 210023, China","institution_ids":[]},{"raw_affiliation_string":"Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing 210023, China","institution_ids":["https://openalex.org/I4210153300"]},{"raw_affiliation_string":"School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109232005","display_name":"Ruchuan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]},{"id":"https://openalex.org/I4210153300","display_name":"Shanghai Research Center for Wireless Communications","ror":"https://ror.org/04xfd0826","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210153300"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruchuan Wang","raw_affiliation_strings":["Jiangsu HPC and Intelligent Processing Engineer Research Center, Nanjing 210023, China","Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing 210023, China","School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu HPC and Intelligent Processing Engineer Research Center, Nanjing 210023, China","institution_ids":[]},{"raw_affiliation_string":"Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing 210023, China","institution_ids":["https://openalex.org/I4210153300"]},{"raw_affiliation_string":"School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100432613"],"corresponding_institution_ids":["https://openalex.org/I41198531","https://openalex.org/I4210153300"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.3431,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.93950981,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"15","issue":"14","first_page":"3583","last_page":"3583"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9977999925613403,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9904000163078308,"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":0.8203423023223877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5150677561759949},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.49177244305610657},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.48438555002212524},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.4706859886646271},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.46345090866088867},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.450168639421463},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4263911247253418},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41182979941368103},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41062796115875244},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3941747844219208},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.23954126238822937},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.19162946939468384},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11306661367416382}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8203423023223877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5150677561759949},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.49177244305610657},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.48438555002212524},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.4706859886646271},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.46345090866088867},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.450168639421463},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4263911247253418},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41182979941368103},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41062796115875244},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3941747844219208},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.23954126238822937},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.19162946939468384},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11306661367416382},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15143583","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15143583","pdf_url":"https://www.mdpi.com/2072-4292/15/14/3583/pdf?version=1689662053","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:498b356a75154329b1a81bab7f124961","is_oa":true,"landing_page_url":"https://doaj.org/article/498b356a75154329b1a81bab7f124961","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 15, Iss 14, p 3583 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/14/3583/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15143583","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; Volume 15; Issue 14; Pages: 3583","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15143583","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15143583","pdf_url":"https://www.mdpi.com/2072-4292/15/14/3583/pdf?version=1689662053","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/G1779324945","display_name":null,"funder_award_id":"SJCX22_0267","funder_id":"https://openalex.org/F4320326182","funder_display_name":"Six Talent Peaks Project in Jiangsu Province"},{"id":"https://openalex.org/G3264557862","display_name":null,"funder_award_id":"RJFW-111","funder_id":"https://openalex.org/F4320326182","funder_display_name":"Six Talent Peaks Project in Jiangsu Province"},{"id":"https://openalex.org/G3346166895","display_name":null,"funder_award_id":"61872196\u300161872194\u300161902196","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7757074312","display_name":null,"funder_award_id":"BE2019740","funder_id":"https://openalex.org/F4320326182","funder_display_name":"Six Talent Peaks Project in Jiangsu Province"},{"id":"https://openalex.org/G790709808","display_name":null,"funder_award_id":"SJCX22_0275","funder_id":"https://openalex.org/F4320326182","funder_display_name":"Six Talent Peaks Project in Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320326182","display_name":"Six Talent Peaks Project in Jiangsu Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4384636555.pdf"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W2156387975","https://openalex.org/W2193145675","https://openalex.org/W2400652284","https://openalex.org/W2570343428","https://openalex.org/W2752782242","https://openalex.org/W2884585870","https://openalex.org/W2962777203","https://openalex.org/W2962834855","https://openalex.org/W2963037989","https://openalex.org/W2963351448","https://openalex.org/W2964241181","https://openalex.org/W2989611864","https://openalex.org/W2993756598","https://openalex.org/W2995484963","https://openalex.org/W3034978645","https://openalex.org/W3106250896","https://openalex.org/W3159088339","https://openalex.org/W3167706095","https://openalex.org/W3168844623","https://openalex.org/W3177052299","https://openalex.org/W3195342722","https://openalex.org/W3210586215","https://openalex.org/W4200158270","https://openalex.org/W4206294875","https://openalex.org/W4281488652","https://openalex.org/W4285814464","https://openalex.org/W4303980730","https://openalex.org/W4312218857","https://openalex.org/W4312823573","https://openalex.org/W4324067075","https://openalex.org/W4327652243","https://openalex.org/W4381166147","https://openalex.org/W4381617607","https://openalex.org/W6682889407","https://openalex.org/W6846893557","https://openalex.org/W6850738929"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2012531322","https://openalex.org/W2611989081","https://openalex.org/W2785900585","https://openalex.org/W2353730437","https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W3034745255","https://openalex.org/W4254103348"],"abstract_inverted_index":{"Small":[0],"target":[1,48,257],"detection":[2,29,191,199,258],"has":[3],"been":[4],"widely":[5],"used":[6],"in":[7,39,46,99,186,271],"applications":[8],"that":[9],"are":[10,43],"relevant":[11],"to":[12,52,89,141,169,183,201,223,240,263],"everyday":[13],"life":[14],"and":[15,24,71,96,128,177,212,215,229,234,238,246,267,280],"have":[16,35],"many":[17],"real-time":[18],"requirements,":[19],"such":[20,63,274],"as":[21,64,275],"road":[22,278],"patrols":[23],"security":[25,281],"surveillance.":[26,282],"Although":[27],"object":[28],"methods":[30],"based":[31,81,153],"on":[32,82,111,154,209,231],"deep":[33],"learning":[34,175],"achieved":[36],"great":[37],"success":[38],"recent":[40],"years,":[41],"they":[42],"not":[44],"effective":[45],"small":[47,256],"detection.":[49],"In":[50],"order":[51],"solve":[53],"the":[54,83,117,125,131,134,143,150,155,159,166,171,187,190,207,210,232,251,254,265],"problem":[55],"of":[56,67,119,130,145,149,173,179,253,269],"low":[57,65],"recognition":[58],"rate":[59],"caused":[60],"by":[61,195,227,244],"factors":[62],"resolution":[66],"UAV":[68],"viewpoint":[69],"images":[70],"little":[72],"valid":[73],"information,":[74],"this":[75],"paper":[76],"proposes":[77],"an":[78],"improved":[79,194,226,243],"algorithm":[80,208],"YOLOv5s":[84],"model,":[85],"called":[86],"YOLOv5s-pp.":[87],"First,":[88],"better":[90,109],"suppress":[91],"interference":[92],"from":[93],"complex":[94],"backgrounds":[95],"negative":[97],"samples":[98],"images,":[100],"we":[101,123],"add":[102],"a":[103],"CA":[104],"attention":[105],"module,":[106],"which":[107,138],"can":[108],"focus":[110],"task-specific":[112],"important":[113],"channels":[114],"while":[115],"weakening":[116],"influence":[118],"irrelevant":[120],"channels.":[121],"Secondly,":[122],"improve":[124],"forward":[126],"propagation":[127],"generalisation":[129],"network":[132,167],"using":[133,196],"Meta-ACON":[135],"activation":[136,151],"function,":[137],"adaptively":[139],"learns":[140],"adjust":[142],"degree":[144],"linearity":[146],"or":[147],"nonlinearity":[148],"function":[152],"input":[156],"data.":[157],"Again,":[158],"SPD":[160],"Conv":[161],"module":[162],"is":[163,193],"incorporated":[164],"into":[165],"model":[168],"address":[170],"problems":[172],"reduced":[174],"efficiency":[176],"loss":[178],"fine-grained":[180],"information":[181],"due":[182],"cross-layer":[184],"convolution":[185],"model.":[188],"Finally,":[189],"head":[192],"smaller,":[197],"smaller-target":[198],"heads":[200],"reduce":[202],"missed":[203],"detections.":[204],"We":[205],"evaluated":[206],"VisDrone2019-DET":[211,233],"UAVDT":[213,235],"datasets":[214],"compared":[216,239],"it":[217,260],"with":[218],"other":[219],"state-of-the-art":[220],"algorithms.":[221],"Compared":[222],"YOLOv5s,":[224],"mAP@.5":[225,242],"7.4%":[228],"6.5%":[230],"datasets,":[236],"respectively,":[237],"YOLOv8s,":[241],"0.8%":[245],"2.1%,":[247],"respectively.":[248],"For":[249],"improving":[250],"performance":[252],"UAV-side":[255],"algorithm,":[259],"will":[261],"help":[262],"enhance":[264],"reliability":[266],"safety":[268],"UAVs":[270],"critical":[272],"missions":[273],"military":[276],"reconnaissance,":[277],"patrol":[279]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}