{"id":"https://openalex.org/W4399347063","doi":"https://doi.org/10.1109/tnnls.2024.3400592","title":"Few-Shot Learning With Enhancements to Data Augmentation and Feature Extraction","display_name":"Few-Shot Learning With Enhancements to Data Augmentation and Feature Extraction","publication_year":2024,"publication_date":"2024-06-04","ids":{"openalex":"https://openalex.org/W4399347063","doi":"https://doi.org/10.1109/tnnls.2024.3400592","pmid":"https://pubmed.ncbi.nlm.nih.gov/38833392"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3400592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3400592","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5102853767","display_name":"Yourun Zhang","orcid":"https://orcid.org/0000-0003-1086-9036"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yourun Zhang","raw_affiliation_strings":["Hangzhou Institute of Technology, Xidian University, Hangzhou, China","Ministry of Education, Key Laboratory of Collaborative Intelligence Systems, Xidian University, Xib an, China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Institute of Technology, Xidian University, Hangzhou, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Ministry of Education, Key Laboratory of Collaborative Intelligence Systems, Xidian University, Xib an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091227928","display_name":"Maoguo Gong","orcid":"https://orcid.org/0000-0002-0415-8556"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I22046295","display_name":"Inner Mongolia Normal University","ror":"https://ror.org/0497ase59","country_code":"CN","type":"education","lineage":["https://openalex.org/I22046295"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maoguo Gong","raw_affiliation_strings":["Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi’an, China","College of Mathematics Science, Inner Mongolia Normal University, Hohhot, China","Ministry of Education, Key Laboratory of Collaborative Intelligence Systems, Xidian University, Xib an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"College of Mathematics Science, Inner Mongolia Normal University, Hohhot, China","institution_ids":["https://openalex.org/I22046295"]},{"raw_affiliation_string":"Ministry of Education, Key Laboratory of Collaborative Intelligence Systems, Xidian University, Xib an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103165266","display_name":"Jianzhao Li","orcid":"https://orcid.org/0000-0002-1524-1363"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianzhao Li","raw_affiliation_strings":["Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi’an, China","Ministry of Education, Key Laboratory of Collaborative Intelligence Systems, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Ministry of Education, Key Laboratory of Collaborative Intelligence Systems, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060765360","display_name":"Kaiyuan Feng","orcid":"https://orcid.org/0000-0003-4970-4175"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiyuan Feng","raw_affiliation_strings":["Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi’an, China","Ministry of Education, Key Laboratory of Collaborative Intelligence Systems, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Ministry of Education, Key Laboratory of Collaborative Intelligence Systems, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100432821","display_name":"Mingyang Zhang","orcid":"https://orcid.org/0000-0002-9768-516X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyang Zhang","raw_affiliation_strings":["Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi’an, China","Ministry of Education, Key Laboratory of Collaborative Intelligence Systems, Xidian University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Ministry of Education, Key Laboratory of Collaborative Intelligence Systems, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102853767"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":6.5631,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.97104033,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"36","issue":"4","first_page":"6655","last_page":"6668"},"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":0.9943000078201294,"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":0.9943000078201294,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11243","display_name":"Respiratory viral infections research","score":0.9397000074386597,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8086022138595581},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.7819175720214844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6140850782394409},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6012300848960876},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5637654662132263},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5262053608894348},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4806462824344635},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4736565053462982},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4705239534378052},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4648747742176056},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.44953304529190063},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41285863518714905},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07939952611923218}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8086022138595581},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.7819175720214844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6140850782394409},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6012300848960876},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5637654662132263},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5262053608894348},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4806462824344635},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4736565053462982},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4705239534378052},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4648747742176056},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.44953304529190063},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41285863518714905},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07939952611923218},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2024.3400592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3400592","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:38833392","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38833392","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1949608614","display_name":null,"funder_award_id":"62036006","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":70,"referenced_works":["https://openalex.org/W2117539524","https://openalex.org/W2194775991","https://openalex.org/W2625674597","https://openalex.org/W2752782242","https://openalex.org/W2909383239","https://openalex.org/W2963070905","https://openalex.org/W2963845150","https://openalex.org/W2963943197","https://openalex.org/W2964137095","https://openalex.org/W2988501586","https://openalex.org/W2992308087","https://openalex.org/W2996976377","https://openalex.org/W3009081299","https://openalex.org/W3012255272","https://openalex.org/W3016847592","https://openalex.org/W3027585699","https://openalex.org/W3030401348","https://openalex.org/W3034296706","https://openalex.org/W3035143213","https://openalex.org/W3035370595","https://openalex.org/W3047669212","https://openalex.org/W3092987574","https://openalex.org/W3110057998","https://openalex.org/W3127690492","https://openalex.org/W3135126802","https://openalex.org/W3137257446","https://openalex.org/W3168464182","https://openalex.org/W3171521713","https://openalex.org/W3171632293","https://openalex.org/W3188824417","https://openalex.org/W3194746126","https://openalex.org/W3205249428","https://openalex.org/W3209786827","https://openalex.org/W4205176217","https://openalex.org/W4205223684","https://openalex.org/W4205460645","https://openalex.org/W4220899212","https://openalex.org/W4225589957","https://openalex.org/W4226106696","https://openalex.org/W4250482878","https://openalex.org/W4283517970","https://openalex.org/W4283794091","https://openalex.org/W4297399525","https://openalex.org/W6638319203","https://openalex.org/W6717697761","https://openalex.org/W6736057607","https://openalex.org/W6743661861","https://openalex.org/W6745136726","https://openalex.org/W6747943641","https://openalex.org/W6748284727","https://openalex.org/W6749327742","https://openalex.org/W6751281049","https://openalex.org/W6752232076","https://openalex.org/W6753311412","https://openalex.org/W6756444276","https://openalex.org/W6758126075","https://openalex.org/W6758857762","https://openalex.org/W6759807521","https://openalex.org/W6760184523","https://openalex.org/W6763315676","https://openalex.org/W6770404601","https://openalex.org/W6778963470","https://openalex.org/W6779447676","https://openalex.org/W6779702771","https://openalex.org/W6781848295","https://openalex.org/W6788840927","https://openalex.org/W6791909203","https://openalex.org/W6803279866","https://openalex.org/W6810250958","https://openalex.org/W7015890786"],"related_works":["https://openalex.org/W2062399876","https://openalex.org/W2607795551","https://openalex.org/W3155117723","https://openalex.org/W1991429770","https://openalex.org/W1983892167","https://openalex.org/W2281134365","https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W4310746709","https://openalex.org/W4212888438"],"abstract_inverted_index":{"The":[0],"few-shot":[1,62,137,149,238],"image":[2],"classification":[3,150,239],"task":[4],"is":[5,35,53,75],"to":[6,10,49,66,76,80,108,121,132,143,173,177,191],"enable":[7,77],"a":[8,17,28,100,200],"model":[9,29,79,120],"identify":[11],"novel":[12,38,160],"classes":[13],"by":[14],"using":[15],"only":[16],"few":[18],"labeled":[19],"samples":[20],"as":[21],"references.":[22],"In":[23,95,130],"general,":[24],"the":[25,31,59,78,90,114,119,133,155,159,163,178,181,185,208],"more":[26,32,51,83,122],"knowledge":[27,52,82,125],"has,":[30],"robust":[33,192,216],"it":[34,57],"when":[36],"facing":[37],"situations.":[39],"Although":[40],"directly":[41],"introducing":[42],"large":[43],"amounts":[44],"of":[45,61,92,113,135,158,180,210],"new":[46,101],"training":[47,128],"data":[48,102,224],"acquire":[50],"an":[54],"attractive":[55],"solution,":[56],"violates":[58],"purpose":[60],"learning":[63,138],"with":[64],"respect":[65],"reducing":[67],"dependence":[68],"on":[69,153,234],"big":[70],"data.":[71,94,129],"Another":[72],"viable":[73],"option":[74],"accumulate":[81,124],"effectively":[84,123],"from":[85,126],"existing":[86,93,147],"data,":[87,136],"i.e.,":[88],"improve":[89],"utilization":[91,134,225],"this":[96,196],"article,":[97],"we":[98,198],"propose":[99,199],"augmentation":[103],"method":[104,230],"called":[105],"self-mixup":[106],"(SM)":[107],"assemble":[109],"different":[110,211],"augmented":[111],"instances":[112],"same":[115],"image,":[116],"which":[117,213],"facilitates":[118],"limited":[127],"addition":[131],"faces":[139],"another":[140],"challenge":[141],"related":[142],"feature":[144,174,217,227],"extraction.":[145],"Specifically,":[146],"metric-based":[148],"methods":[151],"rely":[152],"comparing":[154],"extracted":[156],"features":[157,187],"classes,":[161],"but":[162],"widely":[164,236],"adopted":[165,237],"downsampling":[166,202],"structures":[167],"in":[168],"various":[169],"networks":[170],"can":[171,214],"lead":[172],"degradation":[175],"due":[176],"violation":[179],"sampling":[182],"theorem,":[183],"and":[184,206,219,226],"degraded":[186],"are":[188],"not":[189],"conducive":[190],"classification.":[193,221],"To":[194],"alleviate":[195],"problem,":[197],"calibration-adaptive":[201],"(CADS)":[203],"that":[204],"calibrates":[205],"utilizes":[207],"characteristics":[209],"features,":[212],"facilitate":[215],"extraction":[218],"benefit":[220],"By":[222],"improving":[223],"extraction,":[228],"our":[229],"shows":[231],"superior":[232],"performance":[233],"four":[235],"datasets.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}