{"id":"https://openalex.org/W4409796197","doi":"https://doi.org/10.1109/tgrs.2025.3564261","title":"Boost UAV-Based Object Detection via Scale-Invariant Feature Disentanglement and Adversarial Learning","display_name":"Boost UAV-Based Object Detection via Scale-Invariant Feature Disentanglement and Adversarial Learning","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409796197","doi":"https://doi.org/10.1109/tgrs.2025.3564261"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3564261","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3564261","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5100371024","display_name":"Fan Liu","orcid":"https://orcid.org/0000-0001-8746-9845"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Liu","raw_affiliation_strings":["College of Computer Science and Software Engineering, Hohai University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-8746-9845","affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113012148","display_name":"Lin Yao","orcid":"https://orcid.org/0000-0002-4588-3658"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Yao","raw_affiliation_strings":["College of Computer Science and Software Engineering, Hohai University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035458299","display_name":"Chuanyi Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanyi Zhang","raw_affiliation_strings":["College of Artificial Intelligence and Automation, Hohai University, Changzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8724-5796","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence and Automation, Hohai University, Changzhou, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101380038","display_name":"Ting Wu","orcid":"https://orcid.org/0009-0002-1126-6405"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Wu","raw_affiliation_strings":["College of Computer Science and Software Engineering, Hohai University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0002-1126-6405","affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100744954","display_name":"Xinlei Zhang","orcid":"https://orcid.org/0000-0003-2281-3363"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinlei Zhang","raw_affiliation_strings":["College of Computer Science and Software Engineering, Hohai University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072826501","display_name":"Xiruo Jiang","orcid":"https://orcid.org/0000-0003-4649-5937"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiruo Jiang","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-4649-5937","affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100781212","display_name":"Jun Zhou","orcid":"https://orcid.org/0000-0001-5822-8233"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jun Zhou","raw_affiliation_strings":["School of Information and Communication Technology, Griffith University, Nathan, QLD, Australia","School of Information and Communication Technology, Griffith University, Nathan, Queensland, Australia"],"raw_orcid":"https://orcid.org/0000-0001-5822-8233","affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University, Nathan, QLD, Australia","institution_ids":["https://openalex.org/I11701301"]},{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University, Nathan, Queensland, Australia","institution_ids":["https://openalex.org/I11701301"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":30.2631,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.99467379,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.986299991607666,"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":0.986299991607666,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9761999845504761,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.9664000272750854,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6822682619094849},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6781817078590393},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6110687851905823},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5915336012840271},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5206208229064941},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5048227906227112},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4829070568084717},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4755151867866516},{"id":"https://openalex.org/keywords/scale-invariance","display_name":"Scale invariance","score":0.4528459310531616},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4261501729488373},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41079622507095337},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4008558690547943},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16431471705436707},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.15893200039863586},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13292407989501953},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08257463574409485}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6822682619094849},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6781817078590393},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6110687851905823},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5915336012840271},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5206208229064941},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5048227906227112},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4829070568084717},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4755151867866516},{"id":"https://openalex.org/C135593079","wikidata":"https://www.wikidata.org/wiki/Q1750766","display_name":"Scale invariance","level":2,"score":0.4528459310531616},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4261501729488373},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41079622507095337},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4008558690547943},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16431471705436707},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.15893200039863586},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13292407989501953},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08257463574409485},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3564261","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3564261","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G5660460135","display_name":null,"funder_award_id":"2022Z071108001","funder_id":"https://openalex.org/F4320327472","funder_display_name":"Chinese Aeronautical Establishment"},{"id":"https://openalex.org/G7052362745","display_name":null,"funder_award_id":"62302149","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7400425163","display_name":null,"funder_award_id":"62372155","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7879845350","display_name":null,"funder_award_id":"B240201077","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/F4320327472","display_name":"Chinese Aeronautical Establishment","ror":null},{"id":"https://openalex.org/F4320327794","display_name":"Qinglan Project of Jiangsu Province of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320335885","display_name":"High Performance Computing Platform of Jiangsu University","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1935978687","https://openalex.org/W1987971958","https://openalex.org/W2031489346","https://openalex.org/W2119605622","https://openalex.org/W2124386111","https://openalex.org/W2151103935","https://openalex.org/W2194775991","https://openalex.org/W2253709148","https://openalex.org/W2519586580","https://openalex.org/W2562731582","https://openalex.org/W2565639579","https://openalex.org/W2897529137","https://openalex.org/W2962777203","https://openalex.org/W2963351448","https://openalex.org/W2989611864","https://openalex.org/W2998115938","https://openalex.org/W3006834685","https://openalex.org/W3018757597","https://openalex.org/W3034971973","https://openalex.org/W3035316790","https://openalex.org/W3036271496","https://openalex.org/W3090280491","https://openalex.org/W3092151103","https://openalex.org/W3137746351","https://openalex.org/W3148848505","https://openalex.org/W3168997536","https://openalex.org/W3172461787","https://openalex.org/W3208285567","https://openalex.org/W3208645658","https://openalex.org/W3210997334","https://openalex.org/W4205253927","https://openalex.org/W4206004894","https://openalex.org/W4210288470","https://openalex.org/W4210842816","https://openalex.org/W4221040873","https://openalex.org/W4226410580","https://openalex.org/W4308279716","https://openalex.org/W4309078364","https://openalex.org/W4312618266","https://openalex.org/W4312823573","https://openalex.org/W4319998076","https://openalex.org/W4320002812","https://openalex.org/W4320891764","https://openalex.org/W4323921464","https://openalex.org/W4364302311","https://openalex.org/W4367624107","https://openalex.org/W4378759115","https://openalex.org/W4384201978","https://openalex.org/W4384304567","https://openalex.org/W4385801363","https://openalex.org/W4386076053","https://openalex.org/W4386076325","https://openalex.org/W4387694163","https://openalex.org/W4390189932","https://openalex.org/W4390659289","https://openalex.org/W4390873228","https://openalex.org/W4391974567","https://openalex.org/W4392980133","https://openalex.org/W4399800943","https://openalex.org/W4403864137","https://openalex.org/W4404101481","https://openalex.org/W4405778882","https://openalex.org/W4407375775","https://openalex.org/W6631190155","https://openalex.org/W6635035540","https://openalex.org/W6745935785","https://openalex.org/W6750759024","https://openalex.org/W6757817989","https://openalex.org/W6850787431","https://openalex.org/W6873058455","https://openalex.org/W6873170609","https://openalex.org/W6874673442"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W2097033632","https://openalex.org/W2021670453","https://openalex.org/W2139834217","https://openalex.org/W2100099236","https://openalex.org/W2021783512","https://openalex.org/W1575585820"],"abstract_inverted_index":{"Detecting":[0],"objects":[1],"from":[2],"Unmanned":[3],"Aerial":[4],"Vehicles":[5],"(UAV)":[6],"is":[7,39,70,84],"often":[8],"hindered":[9],"by":[10],"a":[11,65,102],"large":[12],"number":[13],"of":[14],"small":[15],"objects,":[16],"resulting":[17],"in":[18],"low":[19],"detection":[20,106,122],"accuracy.":[21],"To":[22,49],"address":[23],"this":[24,50],"issue,":[25],"mainstream":[26],"approaches":[27],"typically":[28],"utilize":[29],"multi-stage":[30],"inferences.":[31],"Despite":[32],"their":[33],"remarkable":[34],"detecting":[35],"accuracies,":[36],"real-time":[37],"efficiency":[38],"sacrificed,":[40],"making":[41],"them":[42],"less":[43],"practical":[44],"to":[45,54,72,86,119],"handle":[46],"real":[47],"applications.":[48],"end,":[51],"we":[52,100],"propose":[53],"improve":[55,136],"the":[56],"single-stage":[57],"inference":[58],"accuracy":[59,138],"through":[60],"learning":[61],"scale-invariant":[62,76,90],"features.":[63,77],"Specifically,":[64],"Scale-Invariant":[66],"Feature":[67,81],"Disentangling":[68],"module":[69],"designed":[71],"disentangle":[73],"scale-related":[74],"and":[75,139,149],"Then":[78],"an":[79],"Adversarial":[80],"Learning":[82],"scheme":[83],"employed":[85],"enhance":[87],"disentanglement.":[88],"Finally,":[89],"features":[91],"are":[92,151],"leveraged":[93],"for":[94],"robust":[95],"UAV-based":[96],"object":[97,105],"detection.":[98],"Furthermore,":[99],"construct":[101],"multi-modal":[103],"UAV":[104,112],"dataset,":[107],"State-Air,":[108],"which":[109],"incorporates":[110],"annotated":[111],"state":[113],"parameters.":[114],"We":[115],"apply":[116],"our":[117,132],"approach":[118,133],"three":[120,145],"lightweight":[121],"frameworks":[123],"on":[124,144],"two":[125],"benchmark":[126],"datasets.":[127,146],"Extensive":[128],"experiments":[129],"demonstrate":[130],"that":[131],"can":[134],"effectively":[135],"model":[137],"achieve":[140],"state-of-the-art":[141],"(SoTA)":[142],"performance":[143],"Our":[147],"code":[148],"dataset":[150],"publicly":[152],"available":[153],"at":[154],"https://github.com/1e12Leon/SIFDAL.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
