{"id":"https://openalex.org/W4287832681","doi":"https://doi.org/10.1007/s12652-022-04327-5","title":"Multi-level adaptive few-shot learning network combined with vision transformer","display_name":"Multi-level adaptive few-shot learning network combined with vision transformer","publication_year":2022,"publication_date":"2022-07-25","ids":{"openalex":"https://openalex.org/W4287832681","doi":"https://doi.org/10.1007/s12652-022-04327-5"},"language":"en","primary_location":{"id":"doi:10.1007/s12652-022-04327-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s12652-022-04327-5","pdf_url":null,"source":{"id":"https://openalex.org/S48031226","display_name":"Journal of Ambient Intelligence and Humanized Computing","issn_l":"1868-5137","issn":["1868-5137","1868-5145"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Ambient Intelligence and Humanized Computing","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/A5041328137","display_name":"Hegui Zhu","orcid":"https://orcid.org/0000-0002-6501-4097"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hegui Zhu","raw_affiliation_strings":["College of Sciences, Northeastern University, Shenyang, 110819, China"],"affiliations":[{"raw_affiliation_string":"College of Sciences, Northeastern University, Shenyang, 110819, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101019809","display_name":"Xiaoxi Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxi Cai","raw_affiliation_strings":["College of Sciences, Northeastern University, Shenyang, 110819, China"],"affiliations":[{"raw_affiliation_string":"College of Sciences, Northeastern University, Shenyang, 110819, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090629816","display_name":"Jieru Dou","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jieru Dou","raw_affiliation_strings":["College of Sciences, Northeastern University, Shenyang, 110819, China"],"affiliations":[{"raw_affiliation_string":"College of Sciences, Northeastern University, Shenyang, 110819, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101696204","display_name":"Zhan Gao","orcid":"https://orcid.org/0000-0001-6041-5599"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhan Gao","raw_affiliation_strings":["College of Sciences, Northeastern University, Shenyang, 110819, China"],"affiliations":[{"raw_affiliation_string":"College of Sciences, Northeastern University, Shenyang, 110819, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100337171","display_name":"Libo Zhang","orcid":"https://orcid.org/0000-0002-8705-0435"},"institutions":[{"id":"https://openalex.org/I4210129955","display_name":"General Hospital of Shenyang Military Region","ror":"https://ror.org/0340t0585","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210129955"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Libo Zhang","raw_affiliation_strings":["Department of radiology, The General Hospital of Northern Theater Command PLA, Shenyang, 110016, China"],"affiliations":[{"raw_affiliation_string":"Department of radiology, The General Hospital of Northern Theater Command PLA, Shenyang, 110016, China","institution_ids":["https://openalex.org/I4210129955"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041328137"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":{"value":2690,"currency":"EUR","value_usd":3390},"apc_paid":null,"fwci":0.5517,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71662075,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"14","issue":"9","first_page":"12477","last_page":"12491"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991999864578247,"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/T12676","display_name":"Machine Learning and ELM","score":0.9980000257492065,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9769999980926514,"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":0.838675856590271},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7591514587402344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6904824376106262},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6441835761070251},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5347391963005066},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.5220875144004822},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.5133418440818787},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.512360692024231},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5095629692077637},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49563777446746826},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4943678379058838},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4899727404117584},{"id":"https://openalex.org/keywords/single-shot","display_name":"Single shot","score":0.4496942460536957},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.0736331045627594}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.838675856590271},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7591514587402344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6904824376106262},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6441835761070251},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5347391963005066},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.5220875144004822},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.5133418440818787},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.512360692024231},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5095629692077637},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49563777446746826},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4943678379058838},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4899727404117584},{"id":"https://openalex.org/C3019835501","wikidata":"https://www.wikidata.org/wiki/Q1310130","display_name":"Single shot","level":2,"score":0.4496942460536957},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0736331045627594},{"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},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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:10.1007/s12652-022-04327-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s12652-022-04327-5","pdf_url":null,"source":{"id":"https://openalex.org/S48031226","display_name":"Journal of Ambient Intelligence and Humanized Computing","issn_l":"1868-5137","issn":["1868-5137","1868-5145"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Ambient Intelligence and Humanized Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G584194478","display_name":null,"funder_award_id":"2017YFF0108800","funder_id":"https://openalex.org/F4320335774","funder_display_name":"Key Technologies Research and Development Program"},{"id":"https://openalex.org/G7866805382","display_name":null,"funder_award_id":"2020-MS-080","funder_id":"https://openalex.org/F4320323086","funder_display_name":"Natural Science Foundation of Liaoning Province"}],"funders":[{"id":"https://openalex.org/F4320323086","display_name":"Natural Science Foundation of Liaoning Province","ror":null},{"id":"https://openalex.org/F4320335774","display_name":"Key Technologies Research and Development Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2016429292","https://openalex.org/W2076205488","https://openalex.org/W2133665775","https://openalex.org/W2156406284","https://openalex.org/W2194775991","https://openalex.org/W2469981738","https://openalex.org/W2963070905","https://openalex.org/W2963078159","https://openalex.org/W2963078860","https://openalex.org/W2963636184","https://openalex.org/W2964105864","https://openalex.org/W2981718299","https://openalex.org/W2981899103","https://openalex.org/W2990216037","https://openalex.org/W3034312118","https://openalex.org/W3034974675","https://openalex.org/W3035143213","https://openalex.org/W3035370595","https://openalex.org/W3035531117","https://openalex.org/W3047669212","https://openalex.org/W3092600962","https://openalex.org/W3118882016","https://openalex.org/W3121523901","https://openalex.org/W3135674174","https://openalex.org/W3172122903","https://openalex.org/W4225911012","https://openalex.org/W4226271323","https://openalex.org/W4301734842","https://openalex.org/W6600175564","https://openalex.org/W6600339963","https://openalex.org/W6628991556","https://openalex.org/W6736505632","https://openalex.org/W6811851346","https://openalex.org/W6829155664"],"related_works":["https://openalex.org/W3119773509","https://openalex.org/W3208297503","https://openalex.org/W2889153461","https://openalex.org/W2964117661","https://openalex.org/W4388405611","https://openalex.org/W2345529346","https://openalex.org/W2316061288","https://openalex.org/W2808886599","https://openalex.org/W2909948317","https://openalex.org/W2329247833"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
