{"id":"https://openalex.org/W4352977275","doi":"https://doi.org/10.1109/tgrs.2023.3260121","title":"Dual Contrastive Network for Few-Shot Remote Sensing Image Scene Classification","display_name":"Dual Contrastive Network for Few-Shot Remote Sensing Image Scene Classification","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4352977275","doi":"https://doi.org/10.1109/tgrs.2023.3260121"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3260121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3260121","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2603.23161","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005367680","display_name":"Zhong Ji","orcid":"https://orcid.org/0000-0002-2197-3739"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Ji","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China","CETC Key Laboratory of Aerospace Information Applications, Shijiazhuang, China"],"raw_orcid":"https://orcid.org/0000-0002-2197-3739","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"CETC Key Laboratory of Aerospace Information Applications, Shijiazhuang, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065580068","display_name":"Liyuan Hou","orcid":"https://orcid.org/0000-0003-4776-1467"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyuan Hou","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-4776-1467","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071644420","display_name":"Xuan Wang","orcid":"https://orcid.org/0000-0002-4050-5308"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Wang","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-4050-5308","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100367368","display_name":"Gang Wang","orcid":"https://orcid.org/0000-0002-3359-3565"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gang Wang","raw_affiliation_strings":["CETC Key Laboratory of Aerospace Information Applications, Shijiazhuang, China"],"raw_orcid":"https://orcid.org/0000-0002-3359-3565","affiliations":[{"raw_affiliation_string":"CETC Key Laboratory of Aerospace Information Applications, Shijiazhuang, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086887025","display_name":"Yanwei Pang","orcid":"https://orcid.org/0000-0001-6670-3727"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanwei Pang","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-6670-3727","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8756,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.91781748,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9947999715805054,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9930999875068665,"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":0.827178955078125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7045100927352905},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6240624189376831},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.550790011882782},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.501453161239624},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4971063435077667},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4161646366119385},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4107971489429474},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3347155749797821},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20631611347198486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.827178955078125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7045100927352905},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6240624189376831},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.550790011882782},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.501453161239624},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4971063435077667},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4161646366119385},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4107971489429474},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3347155749797821},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20631611347198486},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/tgrs.2023.3260121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3260121","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"},{"id":"pmh:oai:arXiv.org:2603.23161","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2603.23161","pdf_url":"https://arxiv.org/pdf/2603.23161","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2603.23161","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2603.23161","pdf_url":"https://arxiv.org/pdf/2603.23161","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G3930161243","display_name":null,"funder_award_id":"62176178","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4352977275.pdf","grobid_xml":"https://content.openalex.org/works/W4352977275.grobid-xml"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W1980038761","https://openalex.org/W2067178723","https://openalex.org/W2194775991","https://openalex.org/W2515866431","https://openalex.org/W2592962403","https://openalex.org/W2620429297","https://openalex.org/W2620858446","https://openalex.org/W2746325398","https://openalex.org/W2783165089","https://openalex.org/W2798015956","https://openalex.org/W2883589384","https://openalex.org/W2883982921","https://openalex.org/W2901268191","https://openalex.org/W2912089046","https://openalex.org/W2919352650","https://openalex.org/W2921700058","https://openalex.org/W2940939359","https://openalex.org/W2941769495","https://openalex.org/W2962217138","https://openalex.org/W2962858109","https://openalex.org/W2963741406","https://openalex.org/W2963910238","https://openalex.org/W2963943197","https://openalex.org/W2964105864","https://openalex.org/W2983228121","https://openalex.org/W2994745448","https://openalex.org/W2995589713","https://openalex.org/W2996836954","https://openalex.org/W3004916592","https://openalex.org/W3009081299","https://openalex.org/W3012255272","https://openalex.org/W3015063979","https://openalex.org/W3023931079","https://openalex.org/W3035821888","https://openalex.org/W3037215700","https://openalex.org/W3096675569","https://openalex.org/W3097284097","https://openalex.org/W3101627915","https://openalex.org/W3105577662","https://openalex.org/W3108975329","https://openalex.org/W3120093386","https://openalex.org/W3121292405","https://openalex.org/W3128992469","https://openalex.org/W3138758234","https://openalex.org/W3166273784","https://openalex.org/W3174822832","https://openalex.org/W3176341011","https://openalex.org/W3181682259","https://openalex.org/W3188824417","https://openalex.org/W3189656202","https://openalex.org/W3199708111","https://openalex.org/W3200370304","https://openalex.org/W3208926440","https://openalex.org/W3213288046","https://openalex.org/W4205587104","https://openalex.org/W4213052879","https://openalex.org/W4225630686","https://openalex.org/W4283724240","https://openalex.org/W4285302279","https://openalex.org/W4285505614","https://openalex.org/W4292258945","https://openalex.org/W4312462231","https://openalex.org/W4312935555","https://openalex.org/W6717697761","https://openalex.org/W6736057607","https://openalex.org/W6758126075","https://openalex.org/W6768230505","https://openalex.org/W6775657223"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2129933262","https://openalex.org/W2565656575"],"abstract_inverted_index":{"Few-shot":[0],"remote":[1,10,37,183],"sensing":[2,11,38,184],"image":[3],"scene":[4],"classification":[5],"(FS-RSISC)":[6],"aims":[7],"at":[8],"classifying":[9],"images":[12],"with":[13],"only":[14],"a":[15,46,67,77,99,109,133,149],"few":[16],"labeled":[17],"samples.":[18],"The":[19],"main":[20],"challenges":[21],"lie":[22],"in":[23,165],"small":[24],"inter-class":[25,86],"variances":[26],"and":[27,73,88,106],"large":[28],"intra-class":[29,89],"variances,":[30],"which":[31,52,83],"are":[32],"the":[33,61,74,93,116,122,130,140,155,162,169,187],"inherent":[34],"property":[35],"of":[36,115,190],"images.":[39],"To":[40],"address":[41],"these":[42],"challenges,":[43],"we":[44,96,147],"propose":[45],"transfer-based":[47],"Dual":[48],"Contrastive":[49,69,79],"Network":[50,101,135],"(DCN),":[51],"incorporates":[53],"two":[54],"auxiliary":[55],"supervised":[56,110,150],"contrastive":[57,111,151],"learning":[58,112,152],"branches":[59],"during":[60],"training":[62],"process.":[63],"Specifically,":[64],"one":[65],"is":[66,76,136],"Context-guided":[68],"Learning":[70,80],"(CCL)":[71],"branch":[72],"other":[75],"Detail-guided":[78],"(DCL)":[81],"branch,":[82,95,132],"focus":[84],"on":[85,113,154,173,179],"discriminability":[87],"invariance,":[90],"respectively.":[91],"In":[92,129],"CCL":[94],"first":[97],"devise":[98],"Condenser":[100],"to":[102,120,124,138,159,171],"capture":[103],"context":[104,118],"features,":[105],"then":[107,146],"leverage":[108],"top":[114],"obtained":[117],"features":[119],"facilitate":[121],"model":[123,170],"learn":[125],"more":[126],"discriminative":[127],"features.":[128,176],"DCL":[131],"Smelter":[134],"designed":[137],"highlight":[139],"significant":[141],"local":[142],"detail":[143,156,175],"information.":[144],"And":[145],"construct":[148],"based":[153],"feature":[157],"maps":[158],"fully":[160],"exploit":[161],"spatial":[163],"information":[164],"each":[166],"map,":[167],"enabling":[168],"concentrate":[172],"invariant":[174],"Extensive":[177],"experiments":[178],"four":[180],"public":[181],"benchmark":[182],"datasets":[185],"demonstrate":[186],"competitive":[188],"performance":[189],"our":[191],"proposed":[192],"DCN.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
