{"id":"https://openalex.org/W4210630409","doi":"https://doi.org/10.1109/tgrs.2022.3147224","title":"FADA: Feature Aligned Domain Adaptive Object Detection in Remote Sensing Imagery","display_name":"FADA: Feature Aligned Domain Adaptive Object Detection in Remote Sensing Imagery","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4210630409","doi":"https://doi.org/10.1109/tgrs.2022.3147224"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3147224","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3147224","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/A5100728476","display_name":"Tao Xu","orcid":"https://orcid.org/0000-0002-7855-4199"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Xu","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","Key Laboratory of Network Information System Technology (NIST), Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7855-4199","affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Network Information System Technology (NIST), Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005905514","display_name":"Xian Sun","orcid":"https://orcid.org/0000-0002-0038-9816"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian Sun","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","Key Laboratory of Network Information System Technology (NIST), Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0038-9816","affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Network Information System Technology (NIST), Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002110023","display_name":"Wenhui Diao","orcid":"https://orcid.org/0000-0002-3931-3974"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhui Diao","raw_affiliation_strings":["Aerospace Information Research Institute and the Key Laboratory of Network Information System Technology (NIST), Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3931-3974","affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute and the Key Laboratory of Network Information System Technology (NIST), Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089561905","display_name":"Liangjin Zhao","orcid":"https://orcid.org/0000-0002-2590-591X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangjin Zhao","raw_affiliation_strings":["Aerospace Information Research Institute and the Key Laboratory of Network Information System Technology (NIST), Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2590-591X","affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute and the Key Laboratory of Network Information System Technology (NIST), Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101411139","display_name":"Kun Fu","orcid":"https://orcid.org/0000-0002-8647-9627"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Fu","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","Key Laboratory of Network Information System Technology (NIST), Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8647-9627","affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Laboratory of Network Information System Technology (NIST), Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101404293","display_name":"Hongqi Wang","orcid":"https://orcid.org/0000-0002-5172-571X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongqi Wang","raw_affiliation_strings":["Aerospace Information Research Institute and the Key Laboratory of Network Information System Technology (NIST), Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute and the Key Laboratory of Network Information System Technology (NIST), Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.7299,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.93774135,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.9980999827384949,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9980999827384949,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8115460872650146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7211734056472778},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6922046542167664},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6896359920501709},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6267048716545105},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5278183221817017},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5032255053520203},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4563160836696625},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.45220470428466797},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4421907067298889},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43685758113861084},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.38832372426986694},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08009082078933716},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06985372304916382}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8115460872650146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7211734056472778},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6922046542167664},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6896359920501709},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6267048716545105},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5278183221817017},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5032255053520203},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4563160836696625},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.45220470428466797},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4421907067298889},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43685758113861084},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.38832372426986694},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08009082078933716},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06985372304916382},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3147224","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3147224","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":[],"awards":[{"id":"https://openalex.org/G7408801154","display_name":null,"funder_award_id":"61725105","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":70,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2104094955","https://openalex.org/W2115579991","https://openalex.org/W2117539524","https://openalex.org/W2187089797","https://openalex.org/W2193145675","https://openalex.org/W2340897893","https://openalex.org/W2397830550","https://openalex.org/W2431874326","https://openalex.org/W2487365028","https://openalex.org/W2565639579","https://openalex.org/W2884561390","https://openalex.org/W2886642929","https://openalex.org/W2889987506","https://openalex.org/W2910979321","https://openalex.org/W2912514498","https://openalex.org/W2950637875","https://openalex.org/W2955889502","https://openalex.org/W2962749812","https://openalex.org/W2962793481","https://openalex.org/W2962921175","https://openalex.org/W2963037989","https://openalex.org/W2963693541","https://openalex.org/W2963730616","https://openalex.org/W2964115968","https://openalex.org/W2964979676","https://openalex.org/W2966197049","https://openalex.org/W2968634921","https://openalex.org/W2968762770","https://openalex.org/W2970929725","https://openalex.org/W2971291258","https://openalex.org/W2977464309","https://openalex.org/W2982770724","https://openalex.org/W2989866772","https://openalex.org/W2990740643","https://openalex.org/W2992240579","https://openalex.org/W2995801068","https://openalex.org/W2998115938","https://openalex.org/W2999187804","https://openalex.org/W3005568369","https://openalex.org/W3005658295","https://openalex.org/W3010381534","https://openalex.org/W3010456692","https://openalex.org/W3034779842","https://openalex.org/W3034971973","https://openalex.org/W3035175896","https://openalex.org/W3035396860","https://openalex.org/W3035673985","https://openalex.org/W3096751897","https://openalex.org/W3102057471","https://openalex.org/W3106250896","https://openalex.org/W3110011650","https://openalex.org/W3118508671","https://openalex.org/W3131740536","https://openalex.org/W3132437036","https://openalex.org/W3160187093","https://openalex.org/W3174873843","https://openalex.org/W3176495987","https://openalex.org/W3176895448","https://openalex.org/W3186406830","https://openalex.org/W4226456028","https://openalex.org/W4288325606","https://openalex.org/W4297670610","https://openalex.org/W4304206535","https://openalex.org/W6748130322","https://openalex.org/W6753526802","https://openalex.org/W6760424586","https://openalex.org/W6764322716","https://openalex.org/W6776984768","https://openalex.org/W6791123957"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W4230315250","https://openalex.org/W2086519370","https://openalex.org/W4287991909"],"abstract_inverted_index":{"Deep":[0],"learning-based":[1],"object":[2,38,102],"detectors":[3,17],"have":[4],"been":[5],"widely":[6],"adopted":[7],"in":[8,124,221],"the":[9,21,27,33,48,53,59,82,91,109,113,127,145,157,168,172,180,187,190,195,200,207,211],"field":[10],"of":[11,189],"remote":[12,29,60,83,115],"sensing":[13,30,61,84,116],"imagery":[14],"interpretation.":[15],"These":[16],"heavily":[18],"depend":[19],"on":[20,199,210],"expensive":[22],"large-scale":[23,216],"labeled":[24],"datasets,":[25],"while":[26],"scarce":[28],"datasets":[31],"limit":[32],"performance.":[34,183],"The":[35,118,142],"domain":[36,54,100,110,181],"adaptive":[37,101],"detection":[39],"can":[40,155],"alleviate":[41],"this":[42],"problem.":[43],"However,":[44],"it":[45,154],"struggles":[46],"with":[47,63,86,194],"confusing":[49,138,173],"feature\u2019s":[50],"alignment,":[51],"damaging":[52],"generalization":[55],"performance,":[56],"especially":[57],"for":[58,218],"scene":[62],"sparse":[64],"objects":[65],"and":[66,89,135,153,175,230],"diverse":[67],"backgrounds.":[68],"For":[69],"that":[70,161],"reason,":[71],"a":[72,95,136,215],"semisynthetic":[73,201],"data":[74],"generator":[75],"(SDG)":[76],"is":[77,105,162],"proposed":[78,106,122,191],"to":[79,107,126,165],"automatically":[80],"generate":[81],"dataset":[85,214],"low":[87],"cost":[88],"replace":[90],"real-world":[92,212],"training":[93,151],"dataset,":[94,203],"<italic":[96],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[97],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">feature":[98],"aligned":[99],"detector</i>":[103],"(FADA)":[104],"enhance":[108],"adaptation":[111,182],"among":[112],"cross-domain":[114,146],"images.":[117],"FADA":[119,205],"contains":[120],"two":[121],"modules":[123],"addition":[125],"base":[128],"detector:":[129],"an":[130],"adversarial-based":[131],"foreground":[132,147,176],"alignment":[133,140],"(AFA)":[134],"prototype-based":[137],"feature":[139,148,160],"(PCFA).":[141],"AFA":[143],"aligns":[144,171],"by":[149,225],"adversarial":[150],"(AT),":[152],"filter":[156],"noisy":[158],"background":[159,174],"not":[163],"suitable":[164],"transfer.":[166],"Then,":[167],"PCFA":[169],"adaptively":[170],"feature,":[177],"further":[178],"promoting":[179],"Comprehensive":[184],"experiments":[185],"validate":[186],"effectiveness":[188],"method.":[192],"Compared":[193],"baseline":[196],"model":[197],"trained":[198],"source":[202],"our":[204],"improves":[206],"generalized":[208],"performance":[209],"target":[213],"Dataset":[217],"Object":[219],"deTection":[220],"Aerial":[222],"images":[223],"(DOTA)":[224],"15.7%":[226],"average":[227],"precision":[228],"(AP)":[229],"achieves":[231],"state-of-the-art":[232],"results.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}