{"id":"https://openalex.org/W4387969342","doi":"https://doi.org/10.1145/3581783.3612146","title":"DANet: Multi-scale UAV Target Detection with Dynamic Feature Perception and Scale-aware Knowledge Distillation","display_name":"DANet: Multi-scale UAV Target Detection with Dynamic Feature Perception and Scale-aware Knowledge Distillation","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387969342","doi":"https://doi.org/10.1145/3581783.3612146"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3612146","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","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/A5032109527","display_name":"Houzhang Fang","orcid":"https://orcid.org/0000-0002-7949-8846"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Houzhang Fang","raw_affiliation_strings":["Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084499772","display_name":"Zikai Liao","orcid":"https://orcid.org/0009-0005-9105-7196"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zikai Liao","raw_affiliation_strings":["Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100364399","display_name":"Lu Wang","orcid":"https://orcid.org/0000-0001-8414-4164"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Wang","raw_affiliation_strings":["Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404954","display_name":"Qingshan Li","orcid":"https://orcid.org/0000-0001-8692-5132"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingshan Li","raw_affiliation_strings":["Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049349192","display_name":"Yi Chang","orcid":"https://orcid.org/0000-0001-8542-5937"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Chang","raw_affiliation_strings":["Huazhong University of Science and Techno, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Techno, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075653923","display_name":"Luxin Yan","orcid":"https://orcid.org/0000-0002-5445-2702"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luxin Yan","raw_affiliation_strings":["Huazhong University of Science and Techno, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Techno, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000193598","display_name":"Wang Xu-hua","orcid":"https://orcid.org/0009-0000-3753-4899"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuhua Wang","raw_affiliation_strings":["Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5032109527"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":3.2843,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.93306196,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2121","last_page":"2130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9865000247955322,"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":0.9800999760627747,"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":0.7577572464942932},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5326926708221436},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5280609726905823},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4356107711791992},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37163466215133667},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3321373462677002}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7577572464942932},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5326926708221436},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5280609726905823},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4356107711791992},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37163466215133667},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3321373462677002},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3612146","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1038398077","display_name":null,"funder_award_id":"61971460, 62101294","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5060680146","display_name":null,"funder_award_id":"ZYTS23201","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5914841961","display_name":null,"funder_award_id":"61971460","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6205343464","display_name":null,"funder_award_id":"62101294","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7033253288","display_name":null,"funder_award_id":"Grants","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8951484681","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W2341998679","https://openalex.org/W2601564443","https://openalex.org/W2797821788","https://openalex.org/W2884585870","https://openalex.org/W2912919760","https://openalex.org/W2963420686","https://openalex.org/W2964231884","https://openalex.org/W2981689412","https://openalex.org/W2986357608","https://openalex.org/W3010079414","https://openalex.org/W3034552520","https://openalex.org/W3035396860","https://openalex.org/W3035524453","https://openalex.org/W3039072276","https://openalex.org/W3039443125","https://openalex.org/W3045672834","https://openalex.org/W3092663126","https://openalex.org/W3118249006","https://openalex.org/W3118934234","https://openalex.org/W3167976421","https://openalex.org/W3170181770","https://openalex.org/W3171950886","https://openalex.org/W3191710552","https://openalex.org/W3193310807","https://openalex.org/W3202623927","https://openalex.org/W3203532272","https://openalex.org/W3210096385","https://openalex.org/W3210343736","https://openalex.org/W4214524539","https://openalex.org/W4226367203","https://openalex.org/W4226426325","https://openalex.org/W4281489207","https://openalex.org/W4287812705","https://openalex.org/W4302603755","https://openalex.org/W4304084055","https://openalex.org/W4304091718","https://openalex.org/W4304092528","https://openalex.org/W4304098609","https://openalex.org/W4306914511","https://openalex.org/W4312943058","https://openalex.org/W4313065862","https://openalex.org/W4313141028","https://openalex.org/W4317038477","https://openalex.org/W4319300529","https://openalex.org/W4386076222","https://openalex.org/W4388469847","https://openalex.org/W4388544064","https://openalex.org/W6776700526","https://openalex.org/W6779679448"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W2033914206"],"abstract_inverted_index":{"Multi-scale":[0],"infrared":[1,251],"unmanned":[2],"aerial":[3],"vehicle":[4],"(UAV)":[5],"targets":[6,136],"(IRUTs)":[7],"detection":[8,30,161],"under":[9],"dynamic":[10,49],"scenarios":[11],"remains":[12],"a":[13,48,54,140,172,180,209,219,265],"challenging":[14],"task":[15],"due":[16],"to":[17,35,146,193,223,244,260],"weak":[18],"target":[19],"features,":[20,229],"varying":[21],"shapes":[22],"and":[23,25,41,60,101,137,200,226,230,270],"poses,":[24],"complex":[26,153],"background":[27],"interference.":[28],"Current":[29],"methods":[31],"find":[32],"it":[33],"difficult":[34],"address":[36],"the":[37,71,86,108,148,158,184,204,236],"above":[38],"issues":[39],"accurately":[40],"efficiently.":[42],"In":[43],"this":[44],"paper,":[45],"we":[46,170,187,207,217],"design":[47],"attentive":[50,212],"network":[51,77],"(DANet)":[52],"incorporating":[53],"scale-adaptive":[55],"feature":[56,64,143],"enhancement":[57],"mechanism":[58,222],"(SaFEM)":[59],"an":[61],"attention-guided":[62],"cross-weighting":[63],"aggregator":[65],"(ACFA).":[66],"The":[67,91],"SaFEM":[68],"adaptively":[69],"adjusts":[70],"network's":[72,87,149],"receptive":[73],"fields":[74],"at":[75],"hierarchical":[76],"levels":[78,106],"leveraging":[79],"separable":[80],"deformable":[81],"convolution":[82],"(SDC),":[83],"which":[84,130],"enhances":[85],"multi-scale":[88,112,159,241,262],"IRUT":[89,113,228,242],"awareness.":[90],"ACFA,":[92],"modulated":[93],"by":[94],"two":[95],"crossing":[96],"attention":[97,221],"mechanisms,":[98],"strengthens":[99],"structural":[100],"semantic":[102],"properties":[103],"on":[104,127,133,179,249],"neighboring":[105],"for":[107,197,235],"accurate":[109],"representation":[110],"of":[111,135,163,239],"features":[114,134,243],"from":[115,139],"different":[116],"levels.":[117],"A":[118],"plug-and-play":[119],"anti-distractor":[120,150],"contrastive":[121],"regularization":[122],"(ADCR)":[123],"is":[124,258],"also":[125],"imposed":[126],"our":[128,245,256],"DANet,":[129],"enforces":[131],"similarity":[132],"distractors":[138],"new":[141],"uncompressed":[142],"projector":[144],"(UFP)":[145],"increase":[147,157],"ability":[151],"in":[152],"backgrounds.":[154],"To":[155],"further":[156],"UAV":[160,252],"performance":[162],"DANet":[164,257],"while":[165],"maintaining":[166],"its":[167],"efficiency":[168],"superiority,":[169],"propose":[171,208],"novel":[173,210],"scale-specific":[174],"knowledge":[175,196,234],"distiller":[176],"(SSKD)":[177],"based":[178],"divide-and-conquer":[181],"strategy.":[182],"For":[183,203],"\"divide''":[185],"stage,":[186,206],"intendedly":[188],"construct":[189],"three":[190],"task-oriented":[191],"teachers":[192],"learn":[194],"tailored":[195],"small-,":[198],"medium-,":[199],"large-scale":[201],"IRUTs.":[202],"\"conquer''":[205],"element-wise":[211],"distillation":[213],"module":[214],"(EADM),":[215],"where":[216],"employ":[218],"pixel-wise":[220],"highlight":[224],"teacher":[225],"student":[227],"incorporate":[231],"IRUT-associated":[232],"prior":[233],"collaborative":[237],"transfer":[238],"refined":[240],"DANet.":[246],"Extensive":[247],"experiments":[248],"real":[250],"datasets":[253],"demonstrate":[254],"that":[255],"able":[259],"detect":[261],"UAVs":[263],"with":[264],"satisfactory":[266],"balance":[267],"between":[268],"accuracy":[269],"efficiency.":[271]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}