{"id":"https://openalex.org/W3206568644","doi":"https://doi.org/10.3390/rs13214200","title":"Task-Adaptive Embedding Learning with Dynamic Kernel Fusion for Few-Shot Remote Sensing Scene Classification","display_name":"Task-Adaptive Embedding Learning with Dynamic Kernel Fusion for Few-Shot Remote Sensing Scene Classification","publication_year":2021,"publication_date":"2021-10-20","ids":{"openalex":"https://openalex.org/W3206568644","doi":"https://doi.org/10.3390/rs13214200","mag":"3206568644"},"language":"en","primary_location":{"id":"doi:10.3390/rs13214200","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13214200","pdf_url":"https://www.mdpi.com/2072-4292/13/21/4200/pdf?version=1634889508","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/13/21/4200/pdf?version=1634889508","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031510879","display_name":"Pei Zhang","orcid":"https://orcid.org/0000-0002-6372-5653"},"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":"Pei Zhang","raw_affiliation_strings":["School of Computer Science, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Shaanxi Provincial Key Laboratory of Speech & Image Information Processing, Northwestern Polytechnical University, Xi\u2019an 710129, China","School of Computer Science, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Shaanxi Provincial Key Laboratory of Speech & Image Information Processing, Northwestern Polytechnical University, Xi'an 710129, China"],"raw_orcid":"https://orcid.org/0000-0002-6372-5653","affiliations":[{"raw_affiliation_string":"School of Computer Science, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Shaanxi Provincial Key Laboratory of Speech & Image Information Processing, Northwestern Polytechnical University, Xi\u2019an 710129, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Computer Science, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Shaanxi Provincial Key Laboratory of Speech & Image Information Processing, Northwestern Polytechnical University, Xi'an 710129, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016996180","display_name":"Guoliang Fan","orcid":"https://orcid.org/0000-0002-8584-9040"},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guoliang Fan","raw_affiliation_strings":["School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK 74078, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK 74078, USA","institution_ids":["https://openalex.org/I115475287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025640482","display_name":"Chanyue Wu","orcid":null},"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":"Chanyue Wu","raw_affiliation_strings":["School of Computer Science, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Shaanxi Provincial Key Laboratory of Speech & Image Information Processing, Northwestern Polytechnical University, Xi\u2019an 710129, China","School of Computer Science, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Shaanxi Provincial Key Laboratory of Speech & Image Information Processing, Northwestern Polytechnical University, Xi'an 710129, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Shaanxi Provincial Key Laboratory of Speech & Image Information Processing, Northwestern Polytechnical University, Xi\u2019an 710129, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Computer Science, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Shaanxi Provincial Key Laboratory of Speech & Image Information Processing, Northwestern Polytechnical University, Xi'an 710129, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080470435","display_name":"Dong Wang","orcid":"https://orcid.org/0000-0003-0577-7305"},"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"]},{"id":"https://openalex.org/I4210102412","display_name":"Yan'an University","ror":"https://ror.org/01dyr7034","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210102412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Wang","raw_affiliation_strings":["School of Computer Science, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Shaanxi Provincial Key Laboratory of Speech & Image Information Processing, Northwestern Polytechnical University, Xi\u2019an 710129, China","School of Physics and Electronic Information, Yan\u2019an University, Yan\u2019an 716000, China","School of Physics and Electronic Information, Yan'an University, Yan'an 716000, China","School of Computer Science, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Shaanxi Provincial Key Laboratory of Speech & Image Information Processing, Northwestern Polytechnical University, Xi'an 710129, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Shaanxi Provincial Key Laboratory of Speech & Image Information Processing, Northwestern Polytechnical University, Xi\u2019an 710129, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Physics and Electronic Information, Yan\u2019an University, Yan\u2019an 716000, China","institution_ids":["https://openalex.org/I4210102412"]},{"raw_affiliation_string":"School of Physics and Electronic Information, Yan'an University, Yan'an 716000, China","institution_ids":["https://openalex.org/I4210102412"]},{"raw_affiliation_string":"School of Computer Science, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Shaanxi Provincial Key Laboratory of Speech & Image Information Processing, Northwestern Polytechnical University, Xi'an 710129, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100785617","display_name":"Ying Li","orcid":"https://orcid.org/0000-0001-7370-1754"},"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"]},{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ying Li","raw_affiliation_strings":["School of Communication and Information Engineering, Xi\u2019an University of Posts & Telecommunications, Xi\u2019an 710121, China","School of Computer Science, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Shaanxi Provincial Key Laboratory of Speech & Image Information Processing, Northwestern Polytechnical University, Xi\u2019an 710129, China","School of Computer Science, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Shaanxi Provincial Key Laboratory of Speech & Image Information Processing, Northwestern Polytechnical University, Xi'an 710129, China","School of Communication and Information Engineering, Xi'an University of Posts & Telecommunications, Xi'an 710121, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Xi\u2019an University of Posts & Telecommunications, Xi\u2019an 710121, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"School of Computer Science, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Shaanxi Provincial Key Laboratory of Speech & Image Information Processing, Northwestern Polytechnical University, Xi\u2019an 710129, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Computer Science, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Shaanxi Provincial Key Laboratory of Speech & Image Information Processing, Northwestern Polytechnical University, Xi'an 710129, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Communication and Information Engineering, Xi'an University of Posts & Telecommunications, Xi'an 710121, China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100785617"],"corresponding_institution_ids":["https://openalex.org/I17145004","https://openalex.org/I4210136859"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.8965,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.87362735,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"13","issue":"21","first_page":"4200","last_page":"4200"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9983999729156494,"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":0.9983999729156494,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9718999862670898,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9652000069618225,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.8309369683265686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7752286195755005},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7528203725814819},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6757965683937073},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.6078264117240906},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5833614468574524},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4706757962703705},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.46841374039649963},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4547937512397766},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4389254152774811},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4258022606372833},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3693099915981293},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18118494749069214},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07463201880455017}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.8309369683265686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7752286195755005},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7528203725814819},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6757965683937073},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6078264117240906},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5833614468574524},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4706757962703705},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.46841374039649963},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4547937512397766},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4389254152774811},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4258022606372833},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3693099915981293},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18118494749069214},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07463201880455017},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs13214200","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13214200","pdf_url":"https://www.mdpi.com/2072-4292/13/21/4200/pdf?version=1634889508","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4991804dda80475e995865ceb5225731","is_oa":true,"landing_page_url":"https://doaj.org/article/4991804dda80475e995865ceb5225731","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":"Remote Sensing, Vol 13, Iss 21, p 4200 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/21/4200/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13214200","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Remote Sensing; Volume 13; Issue 21; Pages: 4200","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs13214200","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13214200","pdf_url":"https://www.mdpi.com/2072-4292/13/21/4200/pdf?version=1634889508","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2261214789","display_name":null,"funder_award_id":"3102019ghxm016","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G259401970","display_name":null,"funder_award_id":"61871460","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":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3206568644.pdf"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W1665214252","https://openalex.org/W1836465849","https://openalex.org/W1980038761","https://openalex.org/W1981213426","https://openalex.org/W2009873714","https://openalex.org/W2024106491","https://openalex.org/W2095705004","https://openalex.org/W2115733720","https://openalex.org/W2116360511","https://openalex.org/W2131386954","https://openalex.org/W2143668817","https://openalex.org/W2147672495","https://openalex.org/W2194775991","https://openalex.org/W2515866431","https://openalex.org/W2577537809","https://openalex.org/W2591853304","https://openalex.org/W2592962403","https://openalex.org/W2601450892","https://openalex.org/W2604763608","https://openalex.org/W2752782242","https://openalex.org/W2783165089","https://openalex.org/W2793263498","https://openalex.org/W2803672301","https://openalex.org/W2898204262","https://openalex.org/W2922509574","https://openalex.org/W2946584829","https://openalex.org/W2963070905","https://openalex.org/W2963125010","https://openalex.org/W2964105864","https://openalex.org/W2974885182","https://openalex.org/W2991559096","https://openalex.org/W2994633389","https://openalex.org/W3012255272","https://openalex.org/W3014323018","https://openalex.org/W3015104952","https://openalex.org/W3025346498","https://openalex.org/W3034312118","https://openalex.org/W3035143213","https://openalex.org/W3036045183","https://openalex.org/W3088971399","https://openalex.org/W3096675569","https://openalex.org/W3097019284","https://openalex.org/W3098643429","https://openalex.org/W3103856189","https://openalex.org/W3104355817","https://openalex.org/W3105577662","https://openalex.org/W3108975329","https://openalex.org/W3125113274","https://openalex.org/W3125493368","https://openalex.org/W3129332838","https://openalex.org/W3161789741","https://openalex.org/W3162599149","https://openalex.org/W6631190155","https://openalex.org/W6674330103","https://openalex.org/W6735236233","https://openalex.org/W6743661861","https://openalex.org/W6747943641","https://openalex.org/W6753311412","https://openalex.org/W6775609595"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W3119773509","https://openalex.org/W3208297503","https://openalex.org/W2889153461","https://openalex.org/W2964117661","https://openalex.org/W4388405611","https://openalex.org/W2619127353"],"abstract_inverted_index":{"The":[0],"central":[1],"goal":[2],"of":[3,122],"few-shot":[4,95,163],"scene":[5,19,96],"classification":[6],"is":[7],"to":[8,16,89,139],"learn":[9],"a":[10,17,26,45,58,73,109,134,153,186],"model":[11,159],"that":[12,80,115,137],"can":[13],"generalize":[14],"well":[15],"novel":[18,74],"category":[20],"(UNSEEN)":[21],"from":[22,128],"only":[23],"one":[24],"or":[25,60],"few":[27],"labeled":[28],"examples.":[29],"Recent":[30],"works":[31],"in":[32,44,94,102,160],"the":[33,67,82,103,117,146,161],"Remote":[34],"Sensing":[35],"(RS)":[36],"community":[37],"tackle":[38],"this":[39],"challenge":[40],"by":[41,85,124,144,185],"developing":[42],"algorithms":[43],"meta-learning":[46],"manner.":[47],"However,":[48],"most":[49],"prior":[50],"approaches":[51],"have":[52],"either":[53],"focused":[54],"on":[55,166,177],"rapidly":[56],"optimizing":[57],"meta-learner":[59],"finding":[61],"good":[62],"similarity":[63],"metrics":[64],"while":[65],"overlooking":[66],"embedding":[68,104],"power.":[69],"Here":[70],"we":[71,107,132],"propose":[72],"Task-Adaptive":[75],"Embedding":[76],"Learning":[77],"(TAEL)":[78],"framework":[79],"complements":[81],"existing":[83],"methods":[84],"giving":[86],"full":[87],"play":[88],"feature":[90],"embedding\u2019s":[91],"dual":[92],"roles":[93],"classification\u2014representing":[97],"images":[98],"and":[99,119,171],"constructing":[100],"classifiers":[101],"space.":[105],"First,":[106],"design":[108],"Dynamic":[110],"Kernel":[111],"Fusion":[112],"Network":[113],"(DKF-Net)":[114],"enriches":[116],"diversity":[118],"expressive":[120],"capacity":[121],"embeddings":[123,148,151],"dynamically":[125],"fusing":[126],"information":[127],"multiple":[129],"kernels.":[130],"Second,":[131],"present":[133],"task-adaptive":[135,150],"strategy":[136],"helps":[138],"generate":[140],"more":[141],"discriminative":[142],"representations":[143],"transforming":[145],"universal":[147],"into":[149],"via":[152],"self-attention":[154],"mechanism.":[155],"We":[156],"evaluate":[157],"our":[158,180],"standard":[162],"learning":[164],"setting":[165],"two":[167],"challenging":[168],"datasets:":[169],"NWPU-RESISC4":[170],"RSD46-WHU.":[172],"Experimental":[173],"results":[174],"demonstrate":[175],"that,":[176],"all":[178],"tasks,":[179],"method":[181],"achieves":[182],"state-of-the-art":[183],"performance":[184],"significant":[187],"margin.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2021-10-25T00:00:00"}