{"id":"https://openalex.org/W3024899163","doi":"https://doi.org/10.1109/access.2020.2993998","title":"An Efficient Feature Pyramid Network for Object Detection in Remote Sensing Imagery","display_name":"An Efficient Feature Pyramid Network for Object Detection in Remote Sensing Imagery","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3024899163","doi":"https://doi.org/10.1109/access.2020.2993998","mag":"3024899163"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2993998","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2993998","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09091190.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09091190.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054973659","display_name":"Qingyun Fang","orcid":"https://orcid.org/0000-0002-7858-1525"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fang Qingyun","raw_affiliation_strings":["School of Aerospace Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Aerospace Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhang Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhang Lin","raw_affiliation_strings":["University of Cincinnati, Cincinnati, USA"],"affiliations":[{"raw_affiliation_string":"University of Cincinnati, Cincinnati, USA","institution_ids":["https://openalex.org/I63135867"]}]},{"author_position":"last","author":{"id":null,"display_name":"Wang Zhaokui","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Zhaokui","raw_affiliation_strings":["School of Aerospace Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Aerospace Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054973659"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.6685,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.86368158,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"93058","last_page":"93068"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9962999820709229,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.791702151298523},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.7385425567626953},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6378690004348755},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6148570775985718},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5190733075141907},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.45577195286750793},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4384710192680359},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.43521034717559814},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.418376624584198},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.37417837977409363},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2891235053539276},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09882944822311401},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09027755260467529}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.791702151298523},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.7385425567626953},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6378690004348755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6148570775985718},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5190733075141907},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.45577195286750793},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4384710192680359},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.43521034717559814},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.418376624584198},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.37417837977409363},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2891235053539276},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09882944822311401},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09027755260467529},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2993998","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2993998","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09091190.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5042c9c789c14873a9d14ee82789e95d","is_oa":true,"landing_page_url":"https://doaj.org/article/5042c9c789c14873a9d14ee82789e95d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 Access, Vol 8, Pp 93058-93068 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2993998","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2993998","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09091190.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2900211015","display_name":null,"funder_award_id":"11872034","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3214160367","display_name":null,"funder_award_id":"No. 11","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5167091242","display_name":null,"funder_award_id":"No. 1","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6258415954","display_name":null,"funder_award_id":"Chinese","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","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"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3024899163.pdf","grobid_xml":"https://content.openalex.org/works/W3024899163.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2005368619","https://openalex.org/W2097117768","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2531409750","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2579985080","https://openalex.org/W2752782242","https://openalex.org/W2773495332","https://openalex.org/W2804356489","https://openalex.org/W2804523038","https://openalex.org/W2883780447","https://openalex.org/W2894878591","https://openalex.org/W2910628332","https://openalex.org/W2912792574","https://openalex.org/W2933397286","https://openalex.org/W2962858109","https://openalex.org/W2963037989","https://openalex.org/W2963125010","https://openalex.org/W2963150697","https://openalex.org/W2963163009","https://openalex.org/W2963446189","https://openalex.org/W2963446712","https://openalex.org/W2964121718","https://openalex.org/W2971597474","https://openalex.org/W2982083293","https://openalex.org/W2990792015","https://openalex.org/W2997225633","https://openalex.org/W3034971973","https://openalex.org/W3106250896","https://openalex.org/W4293584584","https://openalex.org/W4297775537","https://openalex.org/W4297803092","https://openalex.org/W6684191040","https://openalex.org/W6732243160","https://openalex.org/W6737664043","https://openalex.org/W6740474667","https://openalex.org/W6746776673","https://openalex.org/W6750227808","https://openalex.org/W6751733626","https://openalex.org/W6758645304","https://openalex.org/W6770600958","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W4249847449","https://openalex.org/W44395729","https://openalex.org/W2765338038","https://openalex.org/W1496225612","https://openalex.org/W1566843515","https://openalex.org/W4292850564","https://openalex.org/W4206776094","https://openalex.org/W3121197456","https://openalex.org/W4292830139","https://openalex.org/W3127668761"],"abstract_inverted_index":{"Scale":[0],"diversity,":[1],"small":[2,28],"target,":[3,29],"and":[4,27,57,150,168],"power":[5],"limitation":[6],"have":[7],"made":[8],"remote":[9],"sensing":[10],"imagery":[11],"a":[12,33,45,50,90,105,112,173],"challenging":[13],"field":[14],"in":[15,67,99,164],"object":[16,73,160],"detection":[17,161],"on":[18,118,162],"satellites.":[19],"Aiming":[20],"at":[21],"the":[22,78,85,119,143],"aspects":[23],"of":[24,53,108,115,158],"scale":[25],"diversity":[26],"this":[30],"paper":[31],"provides":[32],"novel":[34],"feature":[35,63,81,87],"pyramid":[36,88],"network":[37],"with":[38,69],"Adaptive":[39],"Residual":[40],"Spatial":[41],"Bi-Fusion":[42],"(ARSF)":[43],"as":[44],"solution.":[46],"ARSF":[47,70,138],"nets":[48],"introduce":[49],"robust":[51],"fusion":[52,64],"multi-scale":[54],"semantic":[55],"information":[56,95],"fine":[58],"spatial":[59,62],"details.":[60],"A":[61],"module":[65],"designed":[66],"networks":[68],"adapts":[71],"to":[72,84],"size":[74],"variation":[75],"by":[76,132],"learning":[77],"most":[79],"crucial":[80],"maps.":[82],"Comparing":[83],"original":[86],"network,":[89],"shorter":[91],"critical":[92],"path":[93],"for":[94,142,155,172],"transmission":[96],"is":[97,139],"formed":[98],"our":[100,137],"method.":[101],"Experiments":[102],"show":[103],"that":[104],"validation":[106],"instance":[107],"YOLOv3-ARSF":[109,122],"can":[110],"achieve":[111],"state-of-the-art":[113],"performance":[114],"85.8":[116],"mAP":[117],"NWPU-VHR10":[120],"dataset.":[121],"only":[123],"3MB":[124],"larger":[125],"than":[126],"YOLOv3":[127,131],"but":[128],"far":[129],"exceeds":[130],"2.3%":[133],"mAP,":[134],"which":[135],"shows":[136],"efficient.":[140],"As":[141],"last":[144],"challenge,":[145],"two":[146],"lightweight":[147],"versions,":[148],"ARSF(lite)":[149],"ARSF(lite+)":[151],"are":[152,170],"also":[153],"validated":[154],"future":[156],"research":[157],"online":[159],"satellites":[163],"aerospace":[165],"engineering.":[166],"Visualizations":[167],"details":[169],"provided":[171],"more":[174],"comprehensive":[175],"understanding.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
