{"id":"https://openalex.org/W3198298840","doi":"https://doi.org/10.1109/tgrs.2021.3091003","title":"Solo-to-Collaborative Dual-Attention Network for One-Shot Object Detection in Remote Sensing Images","display_name":"Solo-to-Collaborative Dual-Attention Network for One-Shot Object Detection in Remote Sensing Images","publication_year":2021,"publication_date":"2021-07-02","ids":{"openalex":"https://openalex.org/W3198298840","doi":"https://doi.org/10.1109/tgrs.2021.3091003","mag":"3198298840"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2021.3091003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3091003","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/A5100746147","display_name":"Lingjun Li","orcid":"https://orcid.org/0000-0001-9143-838X"},"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":"Lingjun Li","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi\u2019an, China","School of Automation, Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049629716","display_name":"Xiwen Yao","orcid":"https://orcid.org/0000-0002-7466-7428"},"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":"Xiwen Yao","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi\u2019an, China","School of Automation, Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080476856","display_name":"Gong Cheng","orcid":"https://orcid.org/0000-0001-5030-0683"},"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":"Gong Cheng","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi\u2019an, China","School of Automation, Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081346568","display_name":"Mingliang Xu","orcid":"https://orcid.org/0000-0002-6885-3451"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingliang Xu","raw_affiliation_strings":["Henan Institute of Advanced Technology, Zhengzhou University, Zhengzhou, China","School of Information Engineering, Zhengzhou University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"Henan Institute of Advanced Technology, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"School of Information Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046605531","display_name":"Jungong Han","orcid":"https://orcid.org/0000-0003-4361-956X"},"institutions":[{"id":"https://openalex.org/I16038530","display_name":"Aberystwyth University","ror":"https://ror.org/015m2p889","country_code":"GB","type":"education","lineage":["https://openalex.org/I16038530"]},{"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","GB"],"is_corresponding":false,"raw_author_name":"Jungong Han","raw_affiliation_strings":["Aberystwyth University, Aberystwyth, U.K","School of Automation, Northwestern Polytechnical University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"Aberystwyth University, Aberystwyth, U.K","institution_ids":["https://openalex.org/I16038530"]},{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012529382","display_name":"Junwei Han","orcid":"https://orcid.org/0000-0001-5545-7217"},"institutions":[{"id":"https://openalex.org/I16038530","display_name":"Aberystwyth University","ror":"https://ror.org/015m2p889","country_code":"GB","type":"education","lineage":["https://openalex.org/I16038530"]},{"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","GB"],"is_corresponding":false,"raw_author_name":"Junwei Han","raw_affiliation_strings":["Aberystwyth University, Aberystwyth, U.K","School of Automation, Northwestern Polytechnical University, Xi\u2019an, China","School of Automation, Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Aberystwyth University, Aberystwyth, U.K","institution_ids":["https://openalex.org/I16038530"]},{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100746147"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":2.5192,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.91227473,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9991999864578247,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8195383548736572},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6772245168685913},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6382341384887695},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5755183696746826},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5478437542915344},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5122701525688171},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4810678958892822},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47829562425613403},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4515024423599243},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4491349756717682},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4226798713207245},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.42166346311569214},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.23538032174110413}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8195383548736572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6772245168685913},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6382341384887695},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5755183696746826},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5478437542915344},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5122701525688171},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4810678958892822},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47829562425613403},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4515024423599243},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4491349756717682},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4226798713207245},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.42166346311569214},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23538032174110413},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2021.3091003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3091003","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/G1153066675","display_name":null,"funder_award_id":"61773315","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4017332417","display_name":null,"funder_award_id":"61701415","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6671078455","display_name":null,"funder_award_id":"62071388","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7773270691","display_name":null,"funder_award_id":"61772425","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2005368619","https://openalex.org/W2027287150","https://openalex.org/W2092569534","https://openalex.org/W2113199901","https://openalex.org/W2115733720","https://openalex.org/W2194775991","https://openalex.org/W2341088578","https://openalex.org/W2342880667","https://openalex.org/W2512351403","https://openalex.org/W2577537809","https://openalex.org/W2597117158","https://openalex.org/W2605793178","https://openalex.org/W2664380602","https://openalex.org/W2733535455","https://openalex.org/W2735165202","https://openalex.org/W2779335303","https://openalex.org/W2783165089","https://openalex.org/W2789436332","https://openalex.org/W2794954404","https://openalex.org/W2804528682","https://openalex.org/W2884419823","https://openalex.org/W2884585870","https://openalex.org/W2898504016","https://openalex.org/W2904452845","https://openalex.org/W2950516690","https://openalex.org/W2950907316","https://openalex.org/W2955084925","https://openalex.org/W2962876592","https://openalex.org/W2963091558","https://openalex.org/W2963253279","https://openalex.org/W2963420686","https://openalex.org/W2965318645","https://openalex.org/W2975233290","https://openalex.org/W2990844506","https://openalex.org/W2992240579","https://openalex.org/W3016584671","https://openalex.org/W3019659794","https://openalex.org/W3021734639","https://openalex.org/W3026303927","https://openalex.org/W3033502887","https://openalex.org/W3046476394","https://openalex.org/W3066454894","https://openalex.org/W3096675569","https://openalex.org/W3097947628","https://openalex.org/W3099503507","https://openalex.org/W3104825134","https://openalex.org/W3106938141","https://openalex.org/W3110971880","https://openalex.org/W3146079624","https://openalex.org/W6717697761","https://openalex.org/W6719057275","https://openalex.org/W6739901393","https://openalex.org/W6768454739","https://openalex.org/W6776419441","https://openalex.org/W6783596713"],"related_works":["https://openalex.org/W2095705906","https://openalex.org/W2975200075","https://openalex.org/W2007544051","https://openalex.org/W2732308154","https://openalex.org/W1988485990","https://openalex.org/W3177406559","https://openalex.org/W2546942002","https://openalex.org/W2334336442","https://openalex.org/W3042897387","https://openalex.org/W2048505601"],"abstract_inverted_index":{"In":[0],"this":[1,48],"article,":[2],"we":[3,113],"attempt":[4],"to":[5,15,83,99,120,171,180,213],"achieve":[6],"one-shot":[7,49,79,234],"object":[8,27,80,241],"detection":[9,81],"by":[10,151,184],"mimicking":[11],"the":[12,43,56,66,70,78,86,90,100,138,154,158,181,186,204,210,227,233],"human":[13,53,59],"ability":[14,51],"learn":[16,215],"new":[17],"concepts":[18],"under":[19,232],"limited":[20],"reference,":[21],"which":[22,73],"aims":[23],"at":[24],"detecting":[25,237],"all":[26],"instances":[28],"of":[29,42,52,89,105,130,140,144,176,188,201,209,229,236],"an":[30,75,145,173],"unseen":[31,45,240],"class":[32,92,183],"in":[33,93],"a":[34,39,115,199,216],"target":[35,94,211],"image":[36,41,125,146,212],"when":[37],"given":[38],"query":[40,91,182,205],"same":[44],"class.":[46],"However,":[47],"learning":[50],"benefits":[54],"from":[55,157],"fact":[57],"that":[58,136,168,197],"brain":[60],"can":[61],"quickly":[62],"extract":[63],"and":[64,102,147,160,193,207,239],"process":[65],"associated":[67],"information":[68],"between":[69,203],"query\u2013target":[71,190],"images,":[72],"is":[74,96],"issue":[76],"for":[77],"framework":[82],"overcome.":[84],"Moreover,":[85],"feature":[87,126,142,191,206],"extraction":[88],"images":[95],"intractable":[97],"due":[98],"complex":[101],"diversified":[103],"background":[104,149],"remote":[106],"sensing":[107],"images.":[108],"To":[109],"solve":[110],"these":[111],"issues,":[112],"propose":[114],"solo-to-collaborative":[116],"dual-attention":[117],"network":[118],"(SCoDANet)":[119],"hierarchically":[121],"(image":[122],"itself/pairs)":[123],"enhance":[124],"representations.":[127],"It":[128],"consists":[129],"three":[131],"components:":[132],"1)":[133],"solo-attention":[134],"head":[135],"strengthens":[137],"compactness":[139],"intraclass":[141],"representations":[143],"avoids":[148],"interference":[150],"selectively":[152],"aggregating":[153],"similar":[155],"features":[156],"spatial":[159],"channel":[161],"dimensions,":[162],"respectively;":[163],"2)":[164],"dual":[165],"coattention":[166],"module":[167],"guides":[169],"RPN":[170],"generate":[172],"expected":[174],"set":[175],"region":[177],"proposals":[178,208],"related":[179],"mining":[185],"coinformation":[187],"each":[189],"pair;":[192],"3)":[194],"nonlinear":[195],"matching":[196],"provides":[198],"measure":[200],"similarity":[202],"further":[214],"more":[217],"robust":[218],"detector.":[219],"Our":[220],"extensive":[221],"experiments":[222],"over":[223],"two":[224],"benchmarks":[225],"demonstrate":[226],"effectiveness":[228],"our":[230],"method":[231],"scenario":[235],"seen":[238],"categories.":[242]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}