{"id":"https://openalex.org/W4396941254","doi":"https://doi.org/10.1109/tgrs.2024.3401071","title":"Semi-Supervised Few-Shot Classification With Multitask Learning and Iterative Label Correction","display_name":"Semi-Supervised Few-Shot Classification With Multitask Learning and Iterative Label Correction","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4396941254","doi":"https://doi.org/10.1109/tgrs.2024.3401071"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3401071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3401071","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":["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/A5004950171","display_name":"Hong Ji","orcid":"https://orcid.org/0000-0003-0812-4334"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hong Ji","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-0812-4334","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084683976","display_name":"Zhi Gao","orcid":"https://orcid.org/0000-0003-3325-1183"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Gao","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-3325-1183","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102001222","display_name":"Yao Lu","orcid":"https://orcid.org/0000-0001-9416-904X"},"institutions":[{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Lu","raw_affiliation_strings":["Beijing Institute of Remote Sensing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Remote Sensing, Beijing, China","institution_ids":["https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078276870","display_name":"Ziyao Li","orcid":"https://orcid.org/0000-0003-0955-8265"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyao Li","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-0955-8265","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071650569","display_name":"Boan Chen","orcid":"https://orcid.org/0000-0003-4484-3416"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boan Chen","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-4484-3416","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103098550","display_name":"Yanzhang Li","orcid":"https://orcid.org/0000-0002-3312-3256"},"institutions":[{"id":"https://openalex.org/I4210100278","display_name":"Beijing Satellite Navigation Center","ror":"https://ror.org/0188rvx33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210100278"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanzhang Li","raw_affiliation_strings":["DFH Satellite Company Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DFH Satellite Company Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210100278"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100370163","display_name":"Jun Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100278","display_name":"Beijing Satellite Navigation Center","ror":"https://ror.org/0188rvx33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210100278"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhu","raw_affiliation_strings":["DFH Satellite Company Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DFH Satellite Company Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210100278"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045002108","display_name":"Chao Wang","orcid":"https://orcid.org/0000-0002-1311-3456"},"institutions":[{"id":"https://openalex.org/I4210100278","display_name":"Beijing Satellite Navigation Center","ror":"https://ror.org/0188rvx33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210100278"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Wang","raw_affiliation_strings":["DFH Satellite Company Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DFH Satellite Company Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210100278"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080314324","display_name":"Zhi\u2010Cheng Shi","orcid":"https://orcid.org/0000-0001-6098-0002"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhicheng Shi","raw_affiliation_strings":["Beijing Institute of Space Mechanics and Electricity, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Space Mechanics and Electricity, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5004950171"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.9228,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.76920898,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9623000025749207,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9623000025749207,"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/T14158","display_name":"Optical Systems and Laser Technology","score":0.9120000004768372,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7746100425720215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5910996198654175},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5805415511131287},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.5364981293678284},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.433951735496521},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40013161301612854}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7746100425720215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5910996198654175},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5805415511131287},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5364981293678284},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.433951735496521},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40013161301612854},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3401071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3401071","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2131151903","display_name":null,"funder_award_id":"42192580","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2220427958","display_name":null,"funder_award_id":"D040103","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2248801779","display_name":null,"funder_award_id":"D010206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4308293926","display_name":null,"funder_award_id":"42192583","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":75,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1540155273","https://openalex.org/W2020912318","https://openalex.org/W2108598243","https://openalex.org/W2125027820","https://openalex.org/W2194775991","https://openalex.org/W2294802479","https://openalex.org/W2342880667","https://openalex.org/W2515866431","https://openalex.org/W2592962403","https://openalex.org/W2618530766","https://openalex.org/W2742093937","https://openalex.org/W2762534372","https://openalex.org/W2904008038","https://openalex.org/W2921700058","https://openalex.org/W2963070905","https://openalex.org/W2963845150","https://openalex.org/W2964105864","https://openalex.org/W2964159205","https://openalex.org/W2984353870","https://openalex.org/W2994633389","https://openalex.org/W2997701990","https://openalex.org/W3009081299","https://openalex.org/W3012255272","https://openalex.org/W3035160371","https://openalex.org/W3035370595","https://openalex.org/W3088971399","https://openalex.org/W3096675569","https://openalex.org/W3104355817","https://openalex.org/W3105577662","https://openalex.org/W3107030229","https://openalex.org/W3108878460","https://openalex.org/W3110214837","https://openalex.org/W3111381272","https://openalex.org/W3117115365","https://openalex.org/W3118608800","https://openalex.org/W3133744637","https://openalex.org/W3165838961","https://openalex.org/W3166792421","https://openalex.org/W3188824417","https://openalex.org/W3191302135","https://openalex.org/W3199708111","https://openalex.org/W3200370304","https://openalex.org/W3203918617","https://openalex.org/W3204699193","https://openalex.org/W4205536765","https://openalex.org/W4210884681","https://openalex.org/W4225911012","https://openalex.org/W4226271323","https://openalex.org/W4233762729","https://openalex.org/W4312589581","https://openalex.org/W4312935555","https://openalex.org/W4313058403","https://openalex.org/W4313167301","https://openalex.org/W4383032603","https://openalex.org/W4386041175","https://openalex.org/W6640963894","https://openalex.org/W6675747103","https://openalex.org/W6682494755","https://openalex.org/W6717697761","https://openalex.org/W6736057607","https://openalex.org/W6742288159","https://openalex.org/W6743661861","https://openalex.org/W6748284727","https://openalex.org/W6752232076","https://openalex.org/W6754484989","https://openalex.org/W6755766585","https://openalex.org/W6757817989","https://openalex.org/W6758126075","https://openalex.org/W6762818971","https://openalex.org/W6767471572","https://openalex.org/W6768230505","https://openalex.org/W6771630921","https://openalex.org/W6780205758","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W2033914206"],"abstract_inverted_index":{"Few-shot":[0],"learning":[1,98,120,208,218],"enables":[2],"rapid":[3],"generalization":[4],"from":[5],"extremely":[6],"limited":[7],"training":[8,125],"examples.":[9],"While":[10],"previous":[11],"efforts":[12],"have":[13],"utilized":[14],"meta-learning":[15],"or":[16],"data":[17,25,63,231],"augmentation":[18],"methods":[19,225],"to":[20,31,38,94,115,143,178,193,209,235],"mitigate":[21],"the":[22,51,62,76,103,135,159,179,185],"problem":[23],"of":[24,65,78,84,91,102,162,202],"scarcity,":[26],"such":[27],"approaches":[28],"may":[29],"struggle":[30],"maintain":[32],"robustness":[33],"and":[34,40,68,86,157,205,229,242],"generalize":[35],"effectively":[36],"due":[37],"overfitting":[39],"noise":[41],"sensitivity.":[42],"In":[43,134],"this":[44],"paper,":[45],"we":[46,188,198],"propose":[47],"a":[48,110,137,190],"novel":[49],"approach,":[50],"Semi-Supervised":[52],"Label":[53],"Correction":[54],"method":[55],"for":[56,99],"Few-Shot":[57],"Learning":[58],"(SSLC-FSL),":[59],"which":[60],"leverages":[61],"distribution":[64],"readily":[66],"available":[67],"easily":[69],"obtainable":[70],"unlabeled":[71],"data.":[72],"SSLC-FSL":[73,186,221],"iteratively":[74],"corrects":[75],"labels":[77],"testing":[79,105,117,150,174],"samples":[80,118,175],"with":[81,121,233],"alternating":[82],"steps":[83],"pseudo-labeling":[85,92],"sample":[87],"selection.":[88],"The":[89,124,165],"objective":[90],"is":[93,127,141,170],"repurpose":[95],"graph-based":[96],"semi-supervised":[97],"joint":[100],"prediction":[101],"entire":[104],"set.":[106,182],"We":[107],"then":[108],"introduce":[109],"Modulation":[111,138],"Selection":[112],"Network":[113],"(MSN)":[114],"rank":[116],"by":[119,129],"noisy":[122],"labels.":[123,164],"set":[126],"expanded":[128,180],"selecting":[130],"confident":[131],"pseudo-labeled":[132],"samples.":[133],"MSN,":[136],"Aggregation":[139],"Layer":[140],"designed":[142],"encode":[144],"support":[145,181],"class":[146],"information":[147,213],"into":[148],"each":[149],"sample,":[151],"thereby":[152],"highlighting":[153],"target":[154],"category":[155],"features":[156],"mitigating":[158],"negative":[160],"impact":[161],"incorrect":[163],"iterative":[166],"label":[167],"correction":[168],"process":[169],"repeated":[171],"until":[172],"all":[173,230],"are":[176],"recalled":[177],"To":[183],"boost":[184],"algorithm,":[187],"pre-train":[189],"feature":[191],"extractor":[192],"produce":[194],"general-purpose":[195],"representations.":[196],"Particularly,":[197],"investigate":[199],"two":[200],"types":[201],"auxiliary":[203],"tasks":[204],"their":[206],"collaborative":[207],"acquire":[210],"transferable":[211],"visual":[212],"via":[214],"an":[215],"end-to-end":[216],"multi-task":[217],"model.":[219],"Our":[220],"outperforms":[222],"current":[223],"state-of-the-art":[224],"in":[226],"any":[227],"shot":[228],"settings,":[232],"up":[234],"+27.74%":[236],"on":[237,244],"standard":[238,245],"remote":[239],"sensing":[240],"benchmarks":[241],"+5.70%":[243],"natural":[246],"scene":[247],"benchmarks.":[248]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}