{"id":"https://openalex.org/W2964738275","doi":"https://doi.org/10.1109/icaci.2019.8778601","title":"Meta-Relation Networks for Few Shot Learning","display_name":"Meta-Relation Networks for Few Shot Learning","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2964738275","doi":"https://doi.org/10.1109/icaci.2019.8778601","mag":"2964738275"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaci.2019.8778601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5100524235","display_name":"An Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"An Ye","raw_affiliation_strings":["Guangxi Key Laboratory of Intelligent Processing of Computer Images and Graphics, Guilin University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Intelligent Processing of Computer Images and Graphics, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000079751","display_name":"Ruomei Wang","orcid":"https://orcid.org/0000-0002-2712-4412"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruomei Wang","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-Sen University, Guilin, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-Sen University, Guilin, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100426931","display_name":"Xiaonan Luo","orcid":"https://orcid.org/0000-0002-0751-5045"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaonan Luo","raw_affiliation_strings":["National and Local Joint Engineering Research Center of Satellite Navigation and Location Service, Guilin University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"National and Local Joint Engineering Research Center of Satellite Navigation and Location Service, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045514825","display_name":"Rushi Lan","orcid":"https://orcid.org/0000-0002-9488-8236"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rushi Lan","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guilin, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":1,"citation_normalized_percentile":{"value":0.248969,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":62,"max":70},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Advances in Transfer Learning and Domain Adaptation","score":0.9997,"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":"Advances in Transfer Learning and Domain Adaptation","score":0.9997,"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/T11714","display_name":"Visual Question Answering in Images and Videos","score":0.9939,"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/T11775","display_name":"Applications of Deep Learning in Medical Imaging","score":0.9866,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/few-shot-learning","display_name":"Few-Shot Learning","score":0.632663},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta-Learning","score":0.604493},{"id":"https://openalex.org/keywords/representation-learning","display_name":"Representation Learning","score":0.559214},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"Transfer Learning","score":0.55517},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-Supervised Learning","score":0.534501},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.50342506}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8072729},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.7873512},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6954102},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.67488825},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6153793},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.56890845},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.54706097},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5250385},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.50342506},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.48942962},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35619402},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25460505},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical 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},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaci.2019.8778601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality education","score":0.41,"id":"https://metadata.un.org/sdg/4"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":26,"referenced_works":["https://openalex.org/W1514535095","https://openalex.org/W1686810756","https://openalex.org/W2064675550","https://openalex.org/W2117539524","https://openalex.org/W2139380585","https://openalex.org/W2140804329","https://openalex.org/W2160815625","https://openalex.org/W2163605009","https://openalex.org/W2401823607","https://openalex.org/W2472819217","https://openalex.org/W2601450892","https://openalex.org/W2604763608","https://openalex.org/W2726717203","https://openalex.org/W2742093937","https://openalex.org/W2753160622","https://openalex.org/W2770468159","https://openalex.org/W2900626451","https://openalex.org/W2948974578","https://openalex.org/W2950178297","https://openalex.org/W2962714319","https://openalex.org/W2962835968","https://openalex.org/W2963341924","https://openalex.org/W2964105864","https://openalex.org/W3091905774","https://openalex.org/W4293412117","https://openalex.org/W4295276204"],"related_works":["https://openalex.org/W4294892107","https://openalex.org/W4292659306","https://openalex.org/W394267150","https://openalex.org/W3044321615","https://openalex.org/W2806221744","https://openalex.org/W2497720472","https://openalex.org/W2392917037","https://openalex.org/W2357748469","https://openalex.org/W2326937258","https://openalex.org/W2046675961"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,59,65,70],"meta-relation":[3,51],"network":[4],"to":[5,17,55,108],"solve":[6],"the":[7,13,50,86,104],"few":[8,23,92],"shot":[9],"learning":[10,56],"problem,":[11],"where":[12],"classifier":[14],"must":[15],"learn":[16],"recognize":[18],"new":[19,66,80,96],"classes":[20,81],"given":[21],"only":[22,69],"examples":[24,93],"from":[25,64],"each.":[26],"Meta-relation":[27],"networks":[28,33,52],"is":[29],"based":[30],"on":[31,111],"relation":[32],"and":[34,91],"Model-Agnostic":[35],"Meta-Learning":[36],"(MAML)":[37],"training":[38,46],"methods,":[39],"which":[40],"can":[41,53,77],"be":[42],"trained":[43],"end-to-end.":[44],"After":[45],"with":[47,68],"MAML":[48],"algorithm,":[49],"adapt":[54],"quickly":[57],"for":[58],"small":[60,71],"number":[61],"of":[62,73,82,94],"samples":[63],"task":[67],"amount":[72],"gradient":[74],"step.":[75],"It":[76],"also":[78],"classify":[79],"images":[83,90],"by":[84],"calculating":[85],"scores":[87],"between":[88],"query":[89],"each":[95],"class.":[97],"In":[98],"experiments,":[99],"we":[100],"will":[101],"demonstrate":[102],"that":[103],"proposed":[105],"approach":[106],"leads":[107],"good":[109],"performance":[110],"two":[112],"few-shot":[113],"image":[114],"classification":[115],"benchmarks.":[116]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2964738275","counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2024-11-26T04:52:57.083866","created_date":"2019-08-13"}