{"id":"https://openalex.org/W7108218812","doi":"https://doi.org/10.1109/tcsvt.2025.3639309","title":"Mitigating Catastrophic Forgetting in Online Continual Learning With Dual-Margin Contrastive Replay","display_name":"Mitigating Catastrophic Forgetting in Online Continual Learning With Dual-Margin Contrastive Replay","publication_year":2025,"publication_date":"2025-12-02","ids":{"openalex":"https://openalex.org/W7108218812","doi":"https://doi.org/10.1109/tcsvt.2025.3639309"},"language":null,"primary_location":{"id":"doi:10.1109/tcsvt.2025.3639309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3639309","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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":null,"display_name":"Fan Lyu","orcid":"https://orcid.org/0000-0002-0878-5485"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Lyu","raw_affiliation_strings":["New Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0878-5485","affiliations":[{"raw_affiliation_string":"New Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Gongbo Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"education","lineage":["https://openalex.org/I308837"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gongbo Cheng","raw_affiliation_strings":["School of Electronic and Engineering, Suzhou University of Science and Technology, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Engineering, Suzhou University of Science and Technology, Suzhou, China","institution_ids":["https://openalex.org/I308837"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Daofeng Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"education","lineage":["https://openalex.org/I308837"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daofeng Liu","raw_affiliation_strings":["School of Electronic and Engineering, Suzhou University of Science and Technology, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Engineering, Suzhou University of Science and Technology, Suzhou, China","institution_ids":["https://openalex.org/I308837"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Linglan Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linglan Zhao","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhang Zhang","orcid":"https://orcid.org/0000-0001-9425-3065"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Zhang","raw_affiliation_strings":["New Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9425-3065","affiliations":[{"raw_affiliation_string":"New Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Fuyuan Hu","orcid":"https://orcid.org/0000-0002-6818-2221"},"institutions":[{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"education","lineage":["https://openalex.org/I308837"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuyuan Hu","raw_affiliation_strings":["School of Electronic and Engineering, Suzhou University of Science and Technology, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6818-2221","affiliations":[{"raw_affiliation_string":"School of Electronic and Engineering, Suzhou University of Science and Technology, Suzhou, China","institution_ids":["https://openalex.org/I308837"]}]},{"author_position":"last","author":{"id":null,"display_name":"Liang Wang","orcid":"https://orcid.org/0000-0001-5224-8647"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Wang","raw_affiliation_strings":["New Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5224-8647","affiliations":[{"raw_affiliation_string":"New Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.792,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.9284414,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"36","issue":"4","first_page":"4433","last_page":"4449"},"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":0.9624999761581421,"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":0.9624999761581421,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.0044999998062849045,"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":0.002400000113993883,"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/forgetting","display_name":"Forgetting","score":0.8830000162124634},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5695000290870667},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5227000117301941},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4781999886035919},{"id":"https://openalex.org/keywords/retraining","display_name":"Retraining","score":0.47450000047683716},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.32330000400543213}],"concepts":[{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.8830000162124634},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8123999834060669},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5695000290870667},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5227000117301941},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5187000036239624},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4781999886035919},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.47450000047683716},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3749000132083893},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.32330000400543213},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.31439998745918274},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.30379998683929443},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.28540000319480896},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2831000089645386},{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.27300000190734863}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2025.3639309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3639309","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4458029568195343},{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4036543071269989}],"awards":[{"id":"https://openalex.org/G1496555614","display_name":null,"funder_award_id":"62476189","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1627056226","display_name":null,"funder_award_id":"62373355","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1689765390","display_name":null,"funder_award_id":"2022ZD0117901","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"},{"id":"https://openalex.org/G4282209332","display_name":null,"funder_award_id":"2024M753496","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8432199413","display_name":null,"funder_award_id":"62406323","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Online":[0],"Continual":[1],"Learning":[2],"(OCL)":[3],"enables":[4],"machine":[5],"learning":[6],"models":[7],"to":[8,46,83,92,104,135,151,167,187,202,220],"learn":[9],"from":[10,171],"a":[11,26,47,69,126,163,177],"stream":[12],"of":[13,50,72,99,139],"non-stationary":[14],"tasks,":[15,44],"making":[16],"it":[17],"more":[18,155],"aligned":[19],"with":[20],"real-world":[21],"scenarios.":[22],"However,":[23,81],"OCL":[24,55],"faces":[25],"significant":[27],"challenge:":[28],"catastrophic":[29,65,248],"forgetting,":[30],"wherein":[31],"the":[32,95,108,119,137,144,169,189,196,205,217,222,241,247],"model":[33,115,170],"learned":[34],"in":[35,63,107,121,162,174,224,255],"previous":[36,100,229],"tasks":[37,141],"is":[38,185],"substantially":[39],"overwritten":[40],"upon":[41],"encountering":[42],"new":[43,79],"leading":[45],"biased":[48,175],"forgetting":[49,66,112,249],"prior":[51],"knowledge.":[52],"Among":[53],"various":[54],"strategies,":[56],"replay-based":[57],"methods":[58],"have":[59],"proven":[60],"particularly":[61],"effective":[62],"mitigating":[64],"by":[67,159],"maintaining":[68],"small":[70],"buffer":[71],"past":[73],"samples":[74,157],"and":[75,113,142,191,194,198,250],"retraining":[76],"them":[77],"alongside":[78],"data.":[80],"due":[82],"strict":[84],"memory":[85,153,219],"constraints,":[86],"these":[87],"replay":[88,128,218],"buffers":[89],"often":[90],"fail":[91],"adequately":[93],"represent":[94],"true":[96],"data":[97,164],"distribution":[98,138,172],"tasks.":[101],"This":[102],"leads":[103],"distributional":[105,206],"shifts":[106],"feature":[109,225],"space,":[110],"amplifying":[111],"degrading":[114],"performance.":[116],"To":[117],"address":[118],"problem,":[120],"this":[122],"paper,":[123],"we":[124,149,208],"propose":[125,150],"novel":[127],"strategy,":[129],"termed":[130],"Dual-Margin":[131],"Contrastive":[132,181],"Replay":[133],"(DMCR),":[134],"anchor":[136,221],"old":[140,230],"reduce":[143],"negative":[145],"transfer":[146],"effects.":[147],"First,":[148],"select":[152],"for":[154,227],"representative":[156],"guided":[158],"constructed":[160],"centroids":[161],"stream.":[165],"Then,":[166],"keep":[168],"chaos":[173],"replay,":[176],"two-level":[178],"angular":[179],"cross-task":[180],"Margin":[182],"Loss":[183,214],"(CML)":[184],"proposed,":[186],"encourage":[188],"intra-class":[190],"intra-task":[192],"compactness,":[193],"increase":[195],"inter-class":[197],"inter-task":[199],"discrepancy.":[200],"Finally,":[201],"further":[203],"suppress":[204],"drift,":[207],"present":[209],"an":[210],"optional":[211],"Centroid":[212],"Distillation":[213],"(CDL)":[215],"on":[216,235],"knowledge":[223],"space":[226],"each":[228],"task.":[231],"Extensive":[232],"experimental":[233],"results":[234],"five":[236],"benchmark":[237],"datasets":[238],"validate":[239],"that":[240],"proposed":[242],"DMCR":[243],"can":[244],"effectively":[245],"mitigate":[246],"achieve":[251],"state-of-the-art":[252],"(SOTA)":[253],"performance":[254],"OCL.":[256]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-04-07T06:01:17.266235","created_date":"2025-12-03T00:00:00"}
