{"id":"https://openalex.org/W3162240418","doi":"https://doi.org/10.1109/jstars.2021.3079968","title":"Lightweight Oriented Object Detection Using Multiscale Context and Enhanced Channel Attention in Remote Sensing Images","display_name":"Lightweight Oriented Object Detection Using Multiscale Context and Enhanced Channel Attention in Remote Sensing Images","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3162240418","doi":"https://doi.org/10.1109/jstars.2021.3079968","mag":"3162240418"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2021.3079968","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2021.3079968","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09430684.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09430684.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060998004","display_name":"Qiong Ran","orcid":"https://orcid.org/0000-0002-9423-5307"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiong Ran","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100762531","display_name":"Qing Wang","orcid":"https://orcid.org/0000-0002-6940-6805"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Wang","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060938159","display_name":"Boya Zhao","orcid":"https://orcid.org/0000-0001-5620-406X"},"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":"Boya Zhao","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112014078","display_name":"Yuanfeng Wu","orcid":"https://orcid.org/0000-0001-8427-9851"},"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":"Yuanfeng Wu","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, 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/0000-0001-8427-9851","affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"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/A5044971247","display_name":"Shengliang Pu","orcid":"https://orcid.org/0000-0003-4685-5621"},"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":"Shengliang Pu","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102812273","display_name":"Zijin Li","orcid":"https://orcid.org/0000-0003-2018-2086"},"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":"Zijin Li","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1800,"currency":"USD","value_usd":1800},"apc_paid":{"value":1800,"currency":"USD","value_usd":1800},"fwci":3.2911,"has_fulltext":true,"cited_by_count":70,"citation_normalized_percentile":{"value":0.92563733,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":"14","issue":null,"first_page":"5786","last_page":"5795"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9991999864578247,"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":0.9972000122070312,"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":0.8225181102752686},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7260968089103699},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.626929759979248},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.625558078289032},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6121294498443604},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6104550361633301},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5050819516181946},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5046108961105347},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.48784375190734863},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.47324734926223755},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4454089105129242},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4245948791503906}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8225181102752686},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7260968089103699},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.626929759979248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.625558078289032},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6121294498443604},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6104550361633301},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5050819516181946},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5046108961105347},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.48784375190734863},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.47324734926223755},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4454089105129242},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4245948791503906},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2021.3079968","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2021.3079968","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09430684.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c0f7409dbba3450f8b00e1ad2bf6b103","is_oa":true,"landing_page_url":"https://doaj.org/article/c0f7409dbba3450f8b00e1ad2bf6b103","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 5786-5795 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2021.3079968","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2021.3079968","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09430684.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5490320317","display_name":"\u9ad8\u5149\u8c31\u56fe\u50cf\u76ee\u6807\u63a2\u6d4b\u5bb9\u9519\u7279\u6027\u53ca\u5728\u8f68\u8fd1\u4f3c\u8ba1\u7b97\u7814\u7a76","funder_award_id":"41871245","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6276956774","display_name":null,"funder_award_id":"62001455","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3162240418.pdf","grobid_xml":"https://content.openalex.org/works/W3162240418.grobid-xml"},"referenced_works_count":73,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1989684337","https://openalex.org/W2005368619","https://openalex.org/W2102605133","https://openalex.org/W2161969291","https://openalex.org/W2168356304","https://openalex.org/W2193145675","https://openalex.org/W2407521645","https://openalex.org/W2512351403","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2579985080","https://openalex.org/W2613718673","https://openalex.org/W2768489488","https://openalex.org/W2773495332","https://openalex.org/W2883780447","https://openalex.org/W2884561390","https://openalex.org/W2898682679","https://openalex.org/W2899607431","https://openalex.org/W2911469306","https://openalex.org/W2944165510","https://openalex.org/W2950800384","https://openalex.org/W2953705887","https://openalex.org/W2962721361","https://openalex.org/W2962749812","https://openalex.org/W2962992847","https://openalex.org/W2963037989","https://openalex.org/W2963058975","https://openalex.org/W2963150697","https://openalex.org/W2963342610","https://openalex.org/W2963381188","https://openalex.org/W2963420686","https://openalex.org/W2963786238","https://openalex.org/W2969666521","https://openalex.org/W2970987838","https://openalex.org/W2982770724","https://openalex.org/W2988452521","https://openalex.org/W2995801068","https://openalex.org/W2999452014","https://openalex.org/W3020658963","https://openalex.org/W3022917557","https://openalex.org/W3034993937","https://openalex.org/W3040988483","https://openalex.org/W3045913686","https://openalex.org/W3048631361","https://openalex.org/W3086049282","https://openalex.org/W3102692100","https://openalex.org/W3106250896","https://openalex.org/W3109750868","https://openalex.org/W3111729930","https://openalex.org/W3113117952","https://openalex.org/W3114606989","https://openalex.org/W3137634992","https://openalex.org/W3174873843","https://openalex.org/W3175496347","https://openalex.org/W4293584584","https://openalex.org/W4304206535","https://openalex.org/W6620707391","https://openalex.org/W6732243160","https://openalex.org/W6742348326","https://openalex.org/W6746776673","https://openalex.org/W6749810415","https://openalex.org/W6750227808","https://openalex.org/W6751325469","https://openalex.org/W6753767121","https://openalex.org/W6755965428","https://openalex.org/W6760947256","https://openalex.org/W6762082143","https://openalex.org/W6766860876","https://openalex.org/W6776254782","https://openalex.org/W6776984768","https://openalex.org/W6786872689"],"related_works":["https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4239306820","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W2947043951","https://openalex.org/W4399188509","https://openalex.org/W2969228573","https://openalex.org/W2963690996"],"abstract_inverted_index":{"Object":[0],"detection":[1,37,66,69,109,150,221],"is":[2,139,146,166,203],"a":[3,15,22,105,216],"focal":[4],"point":[5],"in":[6,31,61,104,223],"remote":[7,41,224],"sensing":[8,11,42,225],"applications.":[9],"Remote":[10],"images":[12,98],"typically":[13],"contain":[14,82],"large":[16],"number":[17],"of":[18,25,76,157,201,208],"small":[19,35,64,79],"objects":[20,80],"and":[21,74,85,119,141,187,193],"wide":[23],"range":[24],"orientations":[26],"across":[27,101],"objects.":[28],"This":[29],"results":[30],"great":[32],"challenges":[33],"to":[34,52,57,152,184],"object":[36,65,220],"approaches":[38],"based":[39],"on":[40,168,190],"images.":[43,226],"Methods":[44],"directly":[45],"employ":[46],"channel":[47,121,137],"relations":[48],"with":[49,148],"equal":[50],"weights":[51],"construct":[53],"information":[54,145],"features":[55,87],"leads":[56],"inadequate":[58],"feature":[59,97,135],"representation":[60],"complex":[62],"image":[63,136],"tasks.":[67],"Multiscale":[68],"methods":[70,151],"improve":[71,153],"the":[72,86,94,96,108,116,129,134,142,154,158,191,198],"speed":[73],"accuracy":[75],"detection,":[77,95],"while":[78],"themselves":[81],"limited":[83],"information,":[84],"are":[88,99],"easily":[89],"lost":[90],"following":[91],"down-sampling.":[92],"During":[93],"independent":[100],"scales,":[102],"resulting":[103],"discontinuity":[106],"at":[107],"scale.":[110],"In":[111,132],"this":[112],"article,":[113],"we":[114],"propose":[115],"multiscale":[117,143,149],"context":[118,144],"enhanced":[120,140],"attention":[122,138],"(MSCCA)":[123],"model.":[124],"MSCCA":[125,164,181,202,211],"employs":[126],"PeleeNet":[127],"as":[128,215],"backbone":[130],"network.":[131,161],"particular,":[133],"fused":[147],"characterization":[155],"ability":[156],"convolutional":[159],"neural":[160],"The":[162],"proposed":[163],"method":[165],"evaluated":[167],"two":[169],"real":[170],"datasets.":[171],"Results":[172],"show":[173],"that":[174,207],"for":[175],"512":[176,178],"\u00d7":[177],"input":[179],"images,":[180],"was":[182],"able":[183],"achieve":[185],"80.4%":[186],"94.4%":[188],"mAP":[189],"DOTA":[192],"NWPU":[194],"VHR-10,":[195],"respectively.":[196],"Meanwhile,":[197],"model":[199,222],"size":[200],"21%":[204],"smaller":[205],"than":[206],"its":[209],"predecessor.":[210],"can":[212],"be":[213],"considered":[214],"practical":[217],"lightweight":[218],"oriented":[219]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
