{"id":"https://openalex.org/W4399682786","doi":"https://doi.org/10.1007/s11263-024-02108-5","title":"Towards Generalized UAV Object Detection: A Novel Perspective from Frequency Domain Disentanglement","display_name":"Towards Generalized UAV Object Detection: A Novel Perspective from Frequency Domain Disentanglement","publication_year":2024,"publication_date":"2024-06-14","ids":{"openalex":"https://openalex.org/W4399682786","doi":"https://doi.org/10.1007/s11263-024-02108-5"},"language":"en","primary_location":{"id":"doi:10.1007/s11263-024-02108-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11263-024-02108-5","pdf_url":null,"source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","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/A5100615242","display_name":"Kunyu Wang","orcid":"https://orcid.org/0000-0003-0297-8216"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kunyu Wang","raw_affiliation_strings":["School of Information Science and Technology and MoE Key Laboratory of Brain-Inspired Intelligent Perception and Cognition, University of Science and Technology of China, Hefei, 230026, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology and MoE Key Laboratory of Brain-Inspired Intelligent Perception and Cognition, University of Science and Technology of China, Hefei, 230026, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079007635","display_name":"Xueyang Fu","orcid":"https://orcid.org/0000-0001-8036-4071"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueyang Fu","raw_affiliation_strings":["School of Information Science and Technology and MoE Key Laboratory of Brain-Inspired Intelligent Perception and Cognition, University of Science and Technology of China, Hefei, 230026, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology and MoE Key Laboratory of Brain-Inspired Intelligent Perception and Cognition, University of Science and Technology of China, Hefei, 230026, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015696501","display_name":"Chengjie Ge","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengjie Ge","raw_affiliation_strings":["School of Information Science and Technology and MoE Key Laboratory of Brain-Inspired Intelligent Perception and Cognition, University of Science and Technology of China, Hefei, 230026, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology and MoE Key Laboratory of Brain-Inspired Intelligent Perception and Cognition, University of Science and Technology of China, Hefei, 230026, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025050880","display_name":"Chengzhi Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengzhi Cao","raw_affiliation_strings":["School of Information Science and Technology and MoE Key Laboratory of Brain-Inspired Intelligent Perception and Cognition, University of Science and Technology of China, Hefei, 230026, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology and MoE Key Laboratory of Brain-Inspired Intelligent Perception and Cognition, University of Science and Technology of China, Hefei, 230026, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003217535","display_name":"Zheng-Jun Zha","orcid":"https://orcid.org/0000-0003-2510-8993"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zheng-Jun Zha","raw_affiliation_strings":["School of Information Science and Technology and MoE Key Laboratory of Brain-Inspired Intelligent Perception and Cognition, University of Science and Technology of China, Hefei, 230026, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology and MoE Key Laboratory of Brain-Inspired Intelligent Perception and Cognition, University of Science and Technology of China, Hefei, 230026, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5003217535"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":{"value":2890,"currency":"EUR","value_usd":3690},"apc_paid":null,"fwci":5.0329,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.95761733,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"132","issue":"11","first_page":"5410","last_page":"5438"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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":0.9937000274658203,"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":0.725629448890686},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.6810147166252136},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.6474332213401794},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6339550614356995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6171301007270813},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5408338904380798},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.535728931427002},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.48535147309303284},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4674813151359558},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.456429660320282},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4285180866718292},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.41927382349967957},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1733991503715515}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.725629448890686},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.6810147166252136},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6474332213401794},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6339550614356995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6171301007270813},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5408338904380798},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.535728931427002},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.48535147309303284},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4674813151359558},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.456429660320282},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4285180866718292},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.41927382349967957},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1733991503715515},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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:10.1007/s11263-024-02108-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11263-024-02108-5","pdf_url":null,"source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G575396328","display_name":null,"funder_award_id":"62225207","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6082284406","display_name":null,"funder_award_id":"62276243","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":87,"referenced_works":["https://openalex.org/W320879671","https://openalex.org/W1536680647","https://openalex.org/W1882958252","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2441255125","https://openalex.org/W2593768305","https://openalex.org/W2748021867","https://openalex.org/W2788226543","https://openalex.org/W2884366600","https://openalex.org/W2958360136","https://openalex.org/W2962777203","https://openalex.org/W2963150697","https://openalex.org/W2963346150","https://openalex.org/W2964115968","https://openalex.org/W2968405839","https://openalex.org/W2968634921","https://openalex.org/W2970977083","https://openalex.org/W2979475574","https://openalex.org/W2981488580","https://openalex.org/W2982164728","https://openalex.org/W2990007814","https://openalex.org/W2990138404","https://openalex.org/W2993756598","https://openalex.org/W2995484963","https://openalex.org/W2998216033","https://openalex.org/W2998249728","https://openalex.org/W3010381534","https://openalex.org/W3016641475","https://openalex.org/W3034278302","https://openalex.org/W3034522582","https://openalex.org/W3034779842","https://openalex.org/W3035175896","https://openalex.org/W3035294798","https://openalex.org/W3035524453","https://openalex.org/W3035564946","https://openalex.org/W3035673985","https://openalex.org/W3035731588","https://openalex.org/W3038585207","https://openalex.org/W3091565629","https://openalex.org/W3092151103","https://openalex.org/W3096609285","https://openalex.org/W3103461182","https://openalex.org/W3110011650","https://openalex.org/W3121281282","https://openalex.org/W3121661546","https://openalex.org/W3134649899","https://openalex.org/W3169044395","https://openalex.org/W3173317327","https://openalex.org/W3176346992","https://openalex.org/W3180034634","https://openalex.org/W3180303049","https://openalex.org/W3180439858","https://openalex.org/W3183864931","https://openalex.org/W3194643899","https://openalex.org/W3199334903","https://openalex.org/W3204359931","https://openalex.org/W3207856632","https://openalex.org/W3208824064","https://openalex.org/W3209499093","https://openalex.org/W3210997334","https://openalex.org/W4281692368","https://openalex.org/W4283807782","https://openalex.org/W4285397058","https://openalex.org/W4292399242","https://openalex.org/W4312249431","https://openalex.org/W4312369265","https://openalex.org/W4312740566","https://openalex.org/W4312775058","https://openalex.org/W4312993742","https://openalex.org/W4313160378","https://openalex.org/W4327808545","https://openalex.org/W4362597616","https://openalex.org/W4382240242","https://openalex.org/W4382458328","https://openalex.org/W4382568144","https://openalex.org/W4386065626","https://openalex.org/W4386066070","https://openalex.org/W4386066146","https://openalex.org/W4386066484","https://openalex.org/W4386071531","https://openalex.org/W4386071781","https://openalex.org/W4386076100","https://openalex.org/W4386076209","https://openalex.org/W4386076274","https://openalex.org/W4387741718","https://openalex.org/W6785302134"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2239445980","https://openalex.org/W2080152487","https://openalex.org/W3083152911","https://openalex.org/W3022347918","https://openalex.org/W4200527723"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":1}],"updated_date":"2026-01-20T17:24:06.736184","created_date":"2025-10-10T00:00:00"}
