{"id":"https://openalex.org/W7153286871","doi":"https://doi.org/10.1109/tpami.2026.3681470","title":"Quadruplet Augmentation With Attribute and Structure Invariance for Online Continual Learning","display_name":"Quadruplet Augmentation With Attribute and Structure Invariance for Online Continual Learning","publication_year":2026,"publication_date":"2026-04-10","ids":{"openalex":"https://openalex.org/W7153286871","doi":"https://doi.org/10.1109/tpami.2026.3681470","pmid":"https://pubmed.ncbi.nlm.nih.gov/41961570"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2026.3681470","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2026.3681470","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","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/A5090168766","display_name":"Jiamin Wu","orcid":"https://orcid.org/0000-0002-2455-0272"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialu Wu","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, School of Artificial Intelligence, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, School of Artificial Intelligence, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252","https://openalex.org/I4210100255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133354450","display_name":"Shaofan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaofan Wang","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, School of Artificial Intelligence, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3045-624X","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, School of Artificial Intelligence, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252","https://openalex.org/I4210100255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069468921","display_name":"Yanan Sun","orcid":"https://orcid.org/0000-0003-4940-3743"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfeng Sun","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, School of Artificial Intelligence, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0872-384X","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, School of Artificial Intelligence, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252","https://openalex.org/I4210100255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091545406","display_name":"Boyue Wang","orcid":"https://orcid.org/0000-0002-2677-8342"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boyue Wang","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, School of Artificial Intelligence, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2677-8342","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, School of Artificial Intelligence, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252","https://openalex.org/I4210100255"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5133364870","display_name":"Baocai YinMember","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baocai Yin","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, School of Artificial Intelligence, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3121-1823","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, School of Artificial Intelligence, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252","https://openalex.org/I4210100255"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.4077056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"48","issue":"8","first_page":"9876","last_page":"9894"},"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":0.4677000045776367,"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":0.4677000045776367,"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/T10057","display_name":"Face and Expression Recognition","score":0.14630000293254852,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.05350000038743019,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37139999866485596},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.33320000767707825},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3197999894618988},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.30239999294281006},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.2870999872684479},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.28519999980926514}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7272999882698059},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6759999990463257},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39739999175071716},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37139999866485596},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.33320000767707825},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3197999894618988},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.30239999294281006},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2870999872684479},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.26570001244544983},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.25850000977516174},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2026.3681470","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2026.3681470","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:41961570","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41961570","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 pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1318205984","display_name":null,"funder_award_id":"L257022","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G3840657713","display_name":null,"funder_award_id":"62441232","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/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Online":[0],"Continual":[1],"Learning":[2],"(OCL)":[3],"learns":[4],"from":[5,23,112],"non-independently":[6],"and":[7,18,28,37,84,89,121,154,170,194,212],"identically":[8],"distributed":[9],"streaming":[10],"data":[11,88,143],"with":[12,92,189,199],"unknown":[13],"task":[14],"boundaries":[15],"during":[16,52,68,127],"training":[17],"testing.":[19],"Previous":[20],"methods":[21],"suffer":[22],"the":[24,45,58,63,71,109,150,155,161,185,195],"shortcut":[25],"feature":[26],"trap":[27],"limited":[29],"plasticity,":[30],"leading":[31],"to":[32,43,61,107,146],"two":[33,165],"requirements:":[34],"attribute":[35,83,132],"invariance":[36,51,86,133,163,176],"structure":[38,85,162,175],"invariance.":[39],"The":[40],"former":[41],"requires":[42,60],"capture":[44,62],"attributes":[46,67,111],"of":[47,55,65,95,105,119,124],"objects":[48],"which":[49,183],"maintain":[50],"all":[53],"sessions":[54],"OCL,":[56],"while":[57],"latter":[59],"relation":[64],"different":[66,117],"OCL.":[69,217],"From":[70],"causal":[72,103],"invariant":[73],"representation":[74],"perspective,":[75],"we":[76,99],"propose":[77],"Quadruplet":[78],"Augmentation":[79],"(QuadAug)":[80],"by":[81,115,134,159,177],"preserving":[82],"via":[87,140],"channel":[90,168,171,186,196],"augmentation":[91,96,137,144,180,202],"four":[93,209],"types":[94],"strategies.":[97],"First,":[98],"build":[100],"a":[101,141],"fine-grained":[102],"graph":[104],"OCL":[106],"isolate":[108],"session-invariant":[110],"confounders.":[113],"Then,":[114],"observing":[116],"roles":[118],"amplitude":[120],"phase":[122],"components":[123],"Fourier":[125],"domain":[126],"knowledge":[128],"transfer,":[129],"QuadAug":[130,173,204],"preserves":[131,174,184],"an":[135,178,190,200],"Amplitude-Phase":[136],"(AP-aug)":[138],"module":[139],"bidirectional":[142],"strategy,":[145],"intervene":[147],"subtle":[148],"confounders:":[149],"single-session":[151],"class":[152],"factor":[153],"class-irrelevant":[156],"factor.":[157],"Finally,":[158],"decomposing":[160],"into":[164],"necessary":[166],"conditions:":[167],"independence":[169,187],"sufficiency,":[172],"Independence-Sufficiency":[179],"(IS-aug)":[181],"module,":[182],"property":[188,198],"inter-channel":[191],"discrepancy":[192],"constraint,":[193],"sufficiency":[197],"adversarial":[201],"constraint.":[203],"produces":[205],"significant":[206],"improvement":[207],"on":[208],"sequential":[210],"datasets":[211,215],"three":[213],"blurry":[214],"for":[216]},"counts_by_year":[],"updated_date":"2026-07-07T06:14:10.401900","created_date":"2026-04-11T00:00:00"}
