{"id":"https://openalex.org/W7125985968","doi":"https://doi.org/10.1109/smc58881.2025.11343529","title":"Multi-scale Dynamic Dilated Transformer for UAV Real-time Ship Inspection","display_name":"Multi-scale Dynamic Dilated Transformer for UAV Real-time Ship Inspection","publication_year":2025,"publication_date":"2025-10-05","ids":{"openalex":"https://openalex.org/W7125985968","doi":"https://doi.org/10.1109/smc58881.2025.11343529"},"language":null,"primary_location":{"id":"doi:10.1109/smc58881.2025.11343529","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343529","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":"conference-paper","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/A5105940788","display_name":"Huijie Miao","orcid":null},"institutions":[{"id":"https://openalex.org/I2802541053","display_name":"Academy of Military Medical Sciences","ror":"https://ror.org/02bv3c993","country_code":"CN","type":"facility","lineage":["https://openalex.org/I2802541053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huijie Miao","raw_affiliation_strings":["Academy of Military Science,Institute of Systems Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of Military Science,Institute of Systems Engineering","institution_ids":["https://openalex.org/I2802541053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436894","display_name":"Jie Zhang","orcid":"https://orcid.org/0000-0003-4335-3546"},"institutions":[{"id":"https://openalex.org/I2802541053","display_name":"Academy of Military Medical Sciences","ror":"https://ror.org/02bv3c993","country_code":"CN","type":"facility","lineage":["https://openalex.org/I2802541053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["Academy of Military Science,Institute of Systems Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of Military Science,Institute of Systems Engineering","institution_ids":["https://openalex.org/I2802541053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124137751","display_name":"Jiang Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I2802541053","display_name":"Academy of Military Medical Sciences","ror":"https://ror.org/02bv3c993","country_code":"CN","type":"facility","lineage":["https://openalex.org/I2802541053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang Yan","raw_affiliation_strings":["Academy of Military Science,Institute of Systems Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of Military Science,Institute of Systems Engineering","institution_ids":["https://openalex.org/I2802541053"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070334439","display_name":"Jian Zhou","orcid":"https://orcid.org/0000-0002-7650-7540"},"institutions":[{"id":"https://openalex.org/I2802541053","display_name":"Academy of Military Medical Sciences","ror":"https://ror.org/02bv3c993","country_code":"CN","type":"facility","lineage":["https://openalex.org/I2802541053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zhou","raw_affiliation_strings":["Academy of Military Science,Institute of Systems Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of Military Science,Institute of Systems Engineering","institution_ids":["https://openalex.org/I2802541053"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2802541053"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1734","last_page":"1741"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9286999702453613,"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":0.9286999702453613,"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":0.007300000172108412,"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/T12316","display_name":"Oil Spill Detection and Mitigation","score":0.006500000134110451,"subfield":{"id":"https://openalex.org/subfields/2310","display_name":"Pollution"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.541700005531311},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5141000151634216},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.48179998993873596},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4523000121116638},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.36629998683929443},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.33090001344680786},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.2896000146865845},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.28940001130104065}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7692000269889832},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.541700005531311},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5141000151634216},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.48179998993873596},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4523000121116638},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4521999955177307},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.39010000228881836},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.36629998683929443},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3488999903202057},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3434999883174896},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.33090001344680786},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3197999894618988},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.2896000146865845},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.28940001130104065},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.28859999775886536},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.2768999934196472},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2578999996185303},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2538999915122986}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc58881.2025.11343529","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343529","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":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.4464223384857178}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2193145675","https://openalex.org/W2594177559","https://openalex.org/W2799171885","https://openalex.org/W2885291434","https://openalex.org/W2963037989","https://openalex.org/W3034421924","https://openalex.org/W4293584584","https://openalex.org/W4312513541","https://openalex.org/W4312659758","https://openalex.org/W4387807161","https://openalex.org/W4393149647","https://openalex.org/W4393154727","https://openalex.org/W4393158440","https://openalex.org/W4393159461","https://openalex.org/W4396229019","https://openalex.org/W4402667905","https://openalex.org/W4402702970","https://openalex.org/W4402703037","https://openalex.org/W4402703046","https://openalex.org/W4402716414","https://openalex.org/W4402727514","https://openalex.org/W4402727538","https://openalex.org/W4402727653","https://openalex.org/W4402753996","https://openalex.org/W4402754006","https://openalex.org/W4402754139","https://openalex.org/W4403887847","https://openalex.org/W4405695519"],"related_works":[],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,19,34,42,45,55,62,65,76,82,86,105,115,121,126,133,145,152,156,167,174,178,181,188,194,200,209,241],"problems":[3,35],"encountered":[4],"in":[5,11,44,144,163,223],"object":[6,27],"detection":[7,28,175,243],"of":[8,36,41,64,96,101,120,147,155,180],"UAV":[9,66],"vessels":[10],"China\u2019s":[12],"offshore":[13],"waters,":[14],"this":[15],"paper,":[16],"based":[17,32],"on":[18,33,208],"YOLOv11":[20],"algorithmic":[21,29],"model,":[22,56],"creatively":[23],"proposes":[24],"a":[25,99,159],"new":[26],"architecture,":[30],"DCM-Net,":[31],"multi-scale":[37],"and":[38,103,118,172,198,214,221,225,228],"complex":[39],"background":[40],"targets":[43,97],"images":[46],"captured":[47],"by":[48,50],"UAVs":[49],"making":[51],"various":[52],"improvements":[53],"to":[54,59,74,108,142,158,165,192],"so":[57,136],"as":[58],"significantly":[60,239],"improve":[61,199],"performance":[63,154],"monitoring":[67,153],"model.":[68],"To":[69],"begin":[70],"with,":[71],"we":[72,84,130,186],"aim":[73],"uncover":[75],"multidimensional":[77],"semantic":[78],"information":[79],"encapsulated":[80],"within":[81],"image,":[83],"introduce":[85,187],"Multi-scale":[87],"Dilated":[88],"Attention":[89],"Transformer":[90],"(MSDA)":[91],"module,":[92],"which":[93,150],"captures":[94],"details":[95],"across":[98],"spectrum":[100],"scales":[102],"refining":[104],"model\u2019s":[106,116,242],"sensitivity":[107],"image":[109],"subtleties.":[110],"The":[111,232],"MSDA":[112],"module":[113,191],"improves":[114,151,218],"comprehension":[117],"expression":[119,202],"multiscale":[122],"features":[123],"while":[124],"maintaining":[125],"computational":[127,226],"efficiency.":[128],"Secondly,":[129],"dynamically":[131],"adjust":[132],"model":[134,157,168,195,201,217],"architecture":[135],"that":[137,236],"DCM-Net":[138],"is":[139],"more":[140],"sensitive":[141],"changes":[143],"scale":[146],"ship":[148],"targets,":[149],"greater":[160],"extent.":[161],"Finally,":[162],"order":[164],"optimize":[166],"for":[169],"reduced":[170],"complexity":[171],"satisfy":[173],"task":[176],"when":[177],"resources":[179],"edge":[182],"devices":[183],"are":[184],"insufficient,":[185],"dynamic":[189],"convolution":[190],"reduce":[193],"computation":[196],"consumption":[197,227],"ability.":[203],"Through":[204],"extensive":[205],"experimental":[206,233],"validation":[207],"public":[210],"datasets":[211],"HRSC2016,":[212],"Seaships,":[213],"Shipsdataset,":[215],"our":[216,237],"3.3%,":[219],"16%,":[220],"50%":[222],"mAP50":[224],"FPS":[229],"metrics,":[230],"respectively.":[231],"outcomes":[234],"demonstrate":[235],"algorithm":[238],"enhances":[240],"capabilities.":[244]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-01-29T00:00:00"}
