{"id":"https://openalex.org/W4205932092","doi":"https://doi.org/10.1109/tgrs.2021.3133956","title":"ABNet: Adaptive Balanced Network for Multiscale Object Detection in Remote Sensing Imagery","display_name":"ABNet: Adaptive Balanced Network for Multiscale Object Detection in Remote Sensing Imagery","publication_year":2021,"publication_date":"2021-12-08","ids":{"openalex":"https://openalex.org/W4205932092","doi":"https://doi.org/10.1109/tgrs.2021.3133956"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2021.3133956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3133956","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/A5036015170","display_name":"Yanfeng Liu","orcid":"https://orcid.org/0000-0003-0122-4463"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanfeng Liu","raw_affiliation_strings":["School of Computer Science and the School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","School of Computer Science and the School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019","an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and the School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Computer Science and the School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100429992","display_name":"Qiang Li","orcid":"https://orcid.org/0000-0002-6736-3389"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Li","raw_affiliation_strings":["School of Computer Science and the School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","School of Computer Science and the School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019","an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and the School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Computer Science and the School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100334733","display_name":"Yuan Yuan","orcid":"https://orcid.org/0000-0001-7964-6514"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Yuan","raw_affiliation_strings":["School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","an, China","School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"an, China","institution_ids":[]},{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033017179","display_name":"Qian Du","orcid":"https://orcid.org/0000-0001-8354-7500"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qian Du","raw_affiliation_strings":["Department of Electronic and Computer Engineering, Mississippi State University, Starkville, MS, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, Mississippi State University, Starkville, MS, USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100341321","display_name":"Qi Wang","orcid":"https://orcid.org/0000-0002-7028-4956"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Wang","raw_affiliation_strings":["School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019","an, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5036015170"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":21.4255,"has_fulltext":false,"cited_by_count":246,"citation_normalized_percentile":{"value":0.99642815,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9987999796867371,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9976999759674072,"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":0.8587594032287598},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.679435670375824},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.6257070302963257},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6238662004470825},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6151519417762756},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6069231033325195},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5590572953224182},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5369121432304382},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5219151973724365},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.46718505024909973},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4326092004776001},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4242219030857086},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41255974769592285},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41238296031951904},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3754904270172119},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.329372763633728}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8587594032287598},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.679435670375824},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.6257070302963257},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6238662004470825},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6151519417762756},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6069231033325195},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5590572953224182},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5369121432304382},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5219151973724365},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.46718505024909973},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4326092004776001},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4242219030857086},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41255974769592285},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41238296031951904},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3754904270172119},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.329372763633728},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2021.3133956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3133956","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":[{"id":"https://metadata.un.org/sdg/10","score":0.7400000095367432,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G11847706","display_name":null,"funder_award_id":"61632018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1964179093","display_name":null,"funder_award_id":"U21B2041","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2513133394","display_name":null,"funder_award_id":"61825603","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3196644182","display_name":null,"funder_award_id":"U1864204","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":60,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2005368619","https://openalex.org/W2105482032","https://openalex.org/W2194775991","https://openalex.org/W2476548250","https://openalex.org/W2512351403","https://openalex.org/W2530966705","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2577537809","https://openalex.org/W2749439257","https://openalex.org/W2752782242","https://openalex.org/W2764012408","https://openalex.org/W2779335303","https://openalex.org/W2884585870","https://openalex.org/W2888728082","https://openalex.org/W2953478519","https://openalex.org/W2957667237","https://openalex.org/W2963037989","https://openalex.org/W2963091558","https://openalex.org/W2963179609","https://openalex.org/W2963351448","https://openalex.org/W2963857746","https://openalex.org/W2967487473","https://openalex.org/W2982770724","https://openalex.org/W2985405845","https://openalex.org/W2987033638","https://openalex.org/W2989611864","https://openalex.org/W2991359031","https://openalex.org/W2992240579","https://openalex.org/W2995801068","https://openalex.org/W3001733574","https://openalex.org/W3010021382","https://openalex.org/W3010225291","https://openalex.org/W3034307881","https://openalex.org/W3034552520","https://openalex.org/W3034971973","https://openalex.org/W3039238486","https://openalex.org/W3053427166","https://openalex.org/W3092088889","https://openalex.org/W3112264198","https://openalex.org/W3113164744","https://openalex.org/W3122490299","https://openalex.org/W3127075416","https://openalex.org/W3132349651","https://openalex.org/W3133878118","https://openalex.org/W3137165785","https://openalex.org/W3138958001","https://openalex.org/W3139555693","https://openalex.org/W3147835263","https://openalex.org/W3157386596","https://openalex.org/W3158390871","https://openalex.org/W3159815144","https://openalex.org/W3176495987","https://openalex.org/W3193627072","https://openalex.org/W3194662152","https://openalex.org/W3201797941","https://openalex.org/W4293584584","https://openalex.org/W6750227808","https://openalex.org/W6791710061"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2797752778"],"abstract_inverted_index":{"Benefiting":[0],"from":[1],"the":[2,90,95,100,136],"development":[3],"of":[4,33,46,94,102],"convolutional":[5],"neural":[6],"networks":[7],"(CNNs),":[8],"many":[9],"excellent":[10,58],"algorithms":[11],"for":[12,155],"object":[13,20,157],"detection":[14,21,59],"have":[15],"been":[16],"presented.":[17],"Remote":[18],"sensing":[19,35,48],"(RSOD)":[22],"is":[23,126,148],"a":[24,143],"challenging":[25],"task":[26],"mainly":[27],"due":[28],"to:":[29],"1)":[30],"complicated":[31],"background":[32,104],"remote":[34,47],"images":[36],"(RSIs)":[37],"and":[38,43,61,117],"2)":[39],"extremely":[40],"imbalanced":[41],"scale":[42],"sparsity":[44],"distribution":[45],"objects.":[49,107],"Existing":[50],"methods":[51],"cannot":[52],"effectively":[53],"solve":[54],"these":[55,66],"problems":[56],"with":[57],"accuracy":[60],"rapid":[62],"speed.":[63],"To":[64],"address":[65],"issues,":[67],"we":[68,79],"propose":[69],"an":[70,81,120],"adaptive":[71,121],"balanced":[72],"network":[73,124],"(ABNet)":[74],"in":[75,114],"this":[76],"article.":[77],"First,":[78],"design":[80],"enhanced":[82],"effective":[83],"channel":[84],"attention":[85],"(EECA)":[86],"mechanism":[87],"to":[88,109,128,150],"improve":[89],"feature":[91,122],"representation":[92],"ability":[93],"backbone,":[96],"which":[97],"can":[98],"alleviate":[99],"obstacles":[101],"complex":[103],"on":[105,161],"foreground":[106],"Then,":[108],"combine":[110],"multiscale":[111,156],"features":[112],"adaptively":[113],"different":[115],"channels":[116],"spatial":[118],"positions,":[119],"pyramid":[123],"(AFPN)":[125],"designed":[127],"capture":[129],"more":[130],"discriminative":[131],"features.":[132],"Furthermore,":[133],"considering":[134],"that":[135,166],"original":[137],"FPN":[138],"ignores":[139],"rich":[140],"deep-level":[141],"features,":[142],"context":[144],"enhancement":[145],"module":[146],"(CEM)":[147],"proposed":[149],"exploit":[151],"abundant":[152],"semantic":[153],"information":[154],"detection.":[158],"Experimental":[159],"results":[160],"three":[162],"public":[163],"datasets":[164],"demonstrate":[165],"our":[167],"approach":[168],"exhibits":[169],"superior":[170],"performance":[171],"over":[172],"baseline":[173],"by":[174],"only":[175],"introducing":[176],"less":[177],"than":[178],"1.5M":[179],"extra":[180],"parameters.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":69},{"year":2024,"cited_by_count":77},{"year":2023,"cited_by_count":64},{"year":2022,"cited_by_count":29}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
