{"id":"https://openalex.org/W4377712049","doi":"https://doi.org/10.1109/tgrs.2023.3276995","title":"FFN: Fountain Fusion Net for Arbitrary-Oriented Object Detection","display_name":"FFN: Fountain Fusion Net for Arbitrary-Oriented Object Detection","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4377712049","doi":"https://doi.org/10.1109/tgrs.2023.3276995"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3276995","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3276995","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/A5012204523","display_name":"Tianwei Zhang","orcid":"https://orcid.org/0000-0002-7486-9468"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","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":true,"raw_author_name":"Tianwei Zhang","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, the Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, and the International Research Center of Big Data for Sustainable Development Goals, Chinese Academy of Sciences, Beijing, China","College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, the Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, and the International Research Center of Big Data for Sustainable Development Goals, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111863979","display_name":"Xu Sun","orcid":"https://orcid.org/0000-0001-5389-7251"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","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":"Xu Sun","raw_affiliation_strings":["Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","Aerospace Information Research Institute, Key Laboratory of Computational Optical Imaging Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Aerospace Information Research Institute, Key Laboratory of Computational Optical Imaging Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022920106","display_name":"Lina Zhuang","orcid":"https://orcid.org/0000-0002-9622-6535"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","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":"Lina Zhuang","raw_affiliation_strings":["Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","Aerospace Information Research Institute, Key Laboratory of Computational Optical Imaging Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Aerospace Information Research Institute, Key Laboratory of Computational Optical Imaging Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051017507","display_name":"Xiaoyu Dong","orcid":"https://orcid.org/0000-0001-6717-9779"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]},{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xiaoyu Dong","raw_affiliation_strings":["Department of Complexity Science and Engineering, The University of Tokyo, Chuo, Tokyo, Japan","RIKEN AIP, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Complexity Science and Engineering, The University of Tokyo, Chuo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"RIKEN AIP, Tokyo, Japan","institution_ids":["https://openalex.org/I4210126580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066378186","display_name":"Lianru Gao","orcid":"https://orcid.org/0000-0003-3888-8124"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","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":"Lianru Gao","raw_affiliation_strings":["Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","Aerospace Information Research Institute, Key Laboratory of Computational Optical Imaging Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Aerospace Information Research Institute, Key Laboratory of Computational Optical Imaging Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389658","display_name":"Bing Zhang","orcid":"https://orcid.org/0000-0001-7311-9844"},"institutions":[{"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/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"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":"Bing Zhang","raw_affiliation_strings":["College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China","Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020896207","display_name":"Ke Zheng","orcid":"https://orcid.org/0000-0002-0108-0511"},"institutions":[{"id":"https://openalex.org/I196934937","display_name":"Liaocheng University","ror":"https://ror.org/03yh0n709","country_code":"CN","type":"education","lineage":["https://openalex.org/I196934937"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Zheng","raw_affiliation_strings":["College of Geography and Environment, Liaocheng University, Liaocheng, China"],"affiliations":[{"raw_affiliation_string":"College of Geography and Environment, Liaocheng University, Liaocheng, China","institution_ids":["https://openalex.org/I196934937"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5012204523"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":2.5792,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.91494692,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987999796867371,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9932000041007996,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8220889568328857},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6977740526199341},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6738492846488953},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6646355390548706},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.654740571975708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6488858461380005},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5922843813896179},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.517240583896637},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.512668251991272},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.44559597969055176},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4243411719799042},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07195311784744263},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06387543678283691}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8220889568328857},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6977740526199341},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6738492846488953},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6646355390548706},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.654740571975708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6488858461380005},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5922843813896179},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.517240583896637},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.512668251991272},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.44559597969055176},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4243411719799042},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07195311784744263},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06387543678283691},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3276995","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3276995","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/G2645103404","display_name":null,"funder_award_id":"2021YFB3900502","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W1536680647","https://openalex.org/W2144554289","https://openalex.org/W2163922914","https://openalex.org/W2296151615","https://openalex.org/W2512351403","https://openalex.org/W2565639579","https://openalex.org/W2569680626","https://openalex.org/W2576915720","https://openalex.org/W2593539516","https://openalex.org/W2594177559","https://openalex.org/W2605982830","https://openalex.org/W2725486421","https://openalex.org/W2769152880","https://openalex.org/W2788202095","https://openalex.org/W2855340099","https://openalex.org/W2894878591","https://openalex.org/W2899594603","https://openalex.org/W2899607431","https://openalex.org/W2949846184","https://openalex.org/W2950800384","https://openalex.org/W2953106684","https://openalex.org/W2962749812","https://openalex.org/W2963037989","https://openalex.org/W2963299736","https://openalex.org/W2963299996","https://openalex.org/W2963351448","https://openalex.org/W2963857746","https://openalex.org/W2964294787","https://openalex.org/W2964979676","https://openalex.org/W2967487473","https://openalex.org/W2968292493","https://openalex.org/W2989604896","https://openalex.org/W2991322429","https://openalex.org/W2991359031","https://openalex.org/W2991363140","https://openalex.org/W3034993937","https://openalex.org/W3035396860","https://openalex.org/W3081417559","https://openalex.org/W3086533300","https://openalex.org/W3091379344","https://openalex.org/W3092088889","https://openalex.org/W3099008583","https://openalex.org/W3106228955","https://openalex.org/W3106250896","https://openalex.org/W3107075539","https://openalex.org/W3109055651","https://openalex.org/W3121842289","https://openalex.org/W3122893743","https://openalex.org/W3157386596","https://openalex.org/W3170033848","https://openalex.org/W3174389852","https://openalex.org/W3175496347","https://openalex.org/W4211114389","https://openalex.org/W4211247672","https://openalex.org/W4292265241","https://openalex.org/W4297688279","https://openalex.org/W4310853903","https://openalex.org/W4312804579","https://openalex.org/W6618372016","https://openalex.org/W6620707391","https://openalex.org/W6694954494","https://openalex.org/W6714138976","https://openalex.org/W6729983426","https://openalex.org/W6739844568","https://openalex.org/W6753033036","https://openalex.org/W6766860876","https://openalex.org/W6770689091","https://openalex.org/W6771699368","https://openalex.org/W6782137339","https://openalex.org/W6785308693","https://openalex.org/W6785652829","https://openalex.org/W6786872689","https://openalex.org/W6788861147","https://openalex.org/W6788870397"],"related_works":["https://openalex.org/W2366906938","https://openalex.org/W2349391998","https://openalex.org/W4205655149","https://openalex.org/W2000775715","https://openalex.org/W2012531322","https://openalex.org/W2795393339","https://openalex.org/W2074467390","https://openalex.org/W4390618967","https://openalex.org/W2626393719","https://openalex.org/W2174745845"],"abstract_inverted_index":{"Arbitrary-oriented":[0],"object":[1,14],"detection":[2,37,44,81,112],"(AOOD)":[3],"is":[4,141],"widely":[5],"used":[6],"in":[7,26,54],"aerial":[8],"images":[9],"because":[10],"of":[11,36,52,73,110,185],"its":[12],"efficient":[13],"representation.":[15],"However,":[16],"current":[17,191],"detectors":[18,27,192],"employ":[19],"the":[20,50,63,71,103,108,183],"over-standardized":[21],"feature":[22,34,74,91,96],"extraction":[23],"structure,":[24],"resulting":[25],"has":[28],"no":[29],"ability":[30],"to":[31,70,106,193],"adaptively":[32],"readjust":[33],"representations":[35],"units.":[38,82],"Meanwhile,":[39],"we":[40,87],"observe":[41],"that":[42,117],"many":[43,147],"units":[45],"could":[46],"not":[47],"focus":[48],"on":[49,189,198],"objects":[51],"interest":[53],"their":[55,154],"receptive":[56],"field":[57],"and":[58,66,146,160,170],"are":[59,151],"easily":[60],"affected":[61],"by":[62],"background":[64],"information":[65],"interference":[67],"targets,":[68],"leading":[69],"weaking":[72],"expression":[75],"ability.":[76,130],"We":[77,156],"call":[78],"them":[79],"sub-optimal":[80,111],"To":[83],"address":[84],"this":[85,199],"issue,":[86],"propose":[88],"a":[89,132],"novel":[90,148,200],"enhancement":[92,97],"module":[93,98],"called":[94,136],"fountain":[95,115,137],"(FFEM).":[99],"FFEM":[100,144,161],"ingeniously":[101],"uses":[102],"fountain-like":[104],"structure":[105],"reconstruct":[107],"features":[109,116],"units,":[113],"generating":[114],"can":[118],"automatically":[119],"condense":[120],"spatial":[121],"regional":[122],"features,":[123],"which":[124],"effectively":[125],"enhances":[126],"detectors\u2019":[127],"overall":[128],"representation":[129],"Then,":[131],"high-performance":[133],"AOOD":[134,149],"detector":[135],"fusion":[138],"net":[139],"(FFN)":[140],"proposed":[142,187],"with":[143],"embedded,":[145],"components":[150],"tested":[152],"for":[153],"progressiveness.":[155],"validated":[157],"our":[158,186],"FFN":[159],"using":[162],"three":[163],"remote":[164],"sensing":[165],"datasets":[166],"\u2012":[167],"DOTA,":[168],"HRSC2016,":[169],"UCAS-AOD":[171],"as":[172,174],"well":[173],"one":[175],"scene":[176],"text":[177],"dataset\u2012ICDAR":[178],"2015.":[179],"Extensive":[180],"experiments":[181],"demonstrate":[182],"effectiveness":[184],"method":[188],"improving":[190],"achieve":[194],"state-of-the-art":[195],"performance":[196],"based":[197],"idea.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
