{"id":"https://openalex.org/W7140079503","doi":"https://doi.org/10.1109/tip.2026.3671694","title":"Symmetric Image-Text Tuning With Entropy-Guided Fusion for Online Continual Learning in Non-Stationary Visual Streams","display_name":"Symmetric Image-Text Tuning With Entropy-Guided Fusion for Online Continual Learning in Non-Stationary Visual Streams","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7140079503","doi":"https://doi.org/10.1109/tip.2026.3671694","pmid":"https://pubmed.ncbi.nlm.nih.gov/41870927"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2026.3671694","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2026.3671694","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","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/A5070031492","display_name":"Leyuan Wang","orcid":"https://orcid.org/0000-0003-4084-4470"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leyuan Wang","raw_affiliation_strings":["Laboratory of Visual Computing and Intelligent System, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4084-4470","affiliations":[{"raw_affiliation_string":"Laboratory of Visual Computing and Intelligent System, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077408167","display_name":"Liuyu Xiang","orcid":"https://orcid.org/0000-0001-8486-6255"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liuyu Xiang","raw_affiliation_strings":["Laboratory of Visual Computing and Intelligent System, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8486-6255","affiliations":[{"raw_affiliation_string":"Laboratory of Visual Computing and Intelligent System, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130390022","display_name":"Yujie Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Wei","raw_affiliation_strings":["Laboratory of Visual Computing and Intelligent System, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-6773-3431","affiliations":[{"raw_affiliation_string":"Laboratory of Visual Computing and Intelligent System, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031051208","display_name":"Yiwei Ru","orcid":"https://orcid.org/0009-0004-5577-2769"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwei Ru","raw_affiliation_strings":["Laboratory of Visual Computing and Intelligent System, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Visual Computing and Intelligent System, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130374439","display_name":"Yunlong Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"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":"Yunlong Wang","raw_affiliation_strings":["New Laboratory of Pattern Recognition and the State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3535-308X","affiliations":[{"raw_affiliation_string":"New Laboratory of Pattern Recognition and the State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I4210112150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5130411041","display_name":"Zhaofeng He","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaofeng He","raw_affiliation_strings":["Laboratory of Visual Computing and Intelligent System, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3433-8435","affiliations":[{"raw_affiliation_string":"Laboratory of Visual Computing and Intelligent System, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"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":0.3922351,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":null,"first_page":"3202","last_page":"3213"},"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":0.6097000241279602,"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":0.6097000241279602,"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/T11448","display_name":"Face recognition and analysis","score":0.07349999994039536,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.050200000405311584,"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/visualization","display_name":"Visualization","score":0.47940000891685486},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.42250001430511475},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.40709999203681946},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3878999948501587},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3788999915122986},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.374099999666214},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3395000100135803},{"id":"https://openalex.org/keywords/algorithm-design","display_name":"Algorithm design","score":0.31929999589920044}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7091000080108643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6262999773025513},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5605999827384949},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.47940000891685486},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.42250001430511475},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.40709999203681946},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3878999948501587},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3788999915122986},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.374099999666214},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3395000100135803},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.31929999589920044},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.3095000088214874},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.3003000020980835},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29649999737739563},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2849000096321106},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27559998631477356},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C2779726219","wikidata":"https://www.wikidata.org/wiki/Q7685884","display_name":"Target acquisition","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C196467688","wikidata":"https://www.wikidata.org/wiki/Q1851985","display_name":"Telerobotics","level":4,"score":0.26170000433921814},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.2612999975681305},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2556000053882599},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25519999861717224},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.25440001487731934}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2026.3671694","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2026.3671694","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:41870927","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41870927","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G181284883","display_name":null,"funder_award_id":"62406028","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1987962485","display_name":null,"funder_award_id":"62576046","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2176803174","display_name":null,"funder_award_id":"24JZD040","funder_id":"https://openalex.org/F4320335958","funder_display_name":"Ministry of Education Key Projects of Philosophy and Social Sciences Research"},{"id":"https://openalex.org/G2805850703","display_name":null,"funder_award_id":"62206012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4800139155","display_name":null,"funder_award_id":"62301066","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6434247759","display_name":null,"funder_award_id":"2025YZ010","funder_id":"https://openalex.org/F4320321470","funder_display_name":"Beijing University of Posts and Telecommunications"},{"id":"https://openalex.org/G8091107968","display_name":null,"funder_award_id":"24JZD040","funder_id":"https://openalex.org/F4320327557","funder_display_name":"National Office for Philosophy and Social Sciences"},{"id":"https://openalex.org/G8361507201","display_name":null,"funder_award_id":"62176025","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G858523971","display_name":null,"funder_award_id":"2023RC72","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G858966135","display_name":null,"funder_award_id":"2022YFF1202400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8709529125","display_name":null,"funder_award_id":"U21B2045","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/F4320321470","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59"},{"id":"https://openalex.org/F4320327557","display_name":"National Office for Philosophy and Social Sciences","ror":"https://ror.org/04m0ms912"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320335958","display_name":"Ministry of Education Key Projects of Philosophy and Social Sciences Research","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":[1,28,135,158],"learning":[2,136,159,197],"studies":[3],"how":[4],"models":[5,20],"learn":[6],"from":[7,90],"continuous":[8],"and":[9,93,161,168,189],"non-stationary":[10],"data":[11,148,188],"streams.":[12],"In":[13,128],"this":[14,56],"paper,":[15],"we":[16,58,130],"observe":[17],"that":[18,69,86,138,176],"CLIP":[19],"exhibit":[21],"an":[22,81,133],"asymmetric":[23,72],"image-text":[24,65],"interaction":[25],"under":[26],"online":[27,76,134,196],"learning.":[29,77],"Specifically,":[30],"text":[31,73],"features":[32,45],"of":[33,46],"previously":[34,191],"seen":[35],"classes":[36,123],"may":[37],"introduce":[38,80],"unfavorable":[39],"supervision":[40,74],"when":[41,110,124],"paired":[42],"with":[43,150],"visual":[44],"newly":[47],"observed":[48,122],"data,":[49],"leading":[50],"to":[51,106,144,170,186],"catastrophic":[52],"forgetting.":[53],"To":[54],"alleviate":[55],"issue,":[57],"propose":[59],"a":[60,181],"simple":[61],"yet":[62],"effective":[63],"symmetric":[64],"tuning":[66],"(SIT)":[67],"strategy":[68],"removes":[70],"such":[71],"during":[75],"We":[78],"further":[79],"entropy-guided":[82],"fusion":[83],"(EGF)":[84],"mechanism":[85],"adaptively":[87],"combines":[88,139],"predictions":[89],"the":[91,104,111,162,177],"pretrained":[92,108],"finetuned":[94,112],"branches":[95],"based":[96],"on":[97,120,156],"their":[98],"relative":[99],"uncertainty.":[100],"This":[101],"design":[102],"allows":[103],"model":[105],"recover":[107],"knowledge":[109],"branch":[113],"becomes":[114],"unreliable,":[115],"while":[116],"still":[117],"preserving":[118,190],"plasticity":[119],"recently":[121],"confidence":[125],"is":[126],"high.":[127],"addition,":[129],"present":[131],"MiD-Blurry,":[132],"benchmark":[137],"multiple":[140],"class":[141],"distribution":[142],"patterns":[143],"better":[145],"reflect":[146],"realistic":[147,195],"streams":[149],"blurred":[151],"temporal":[152],"boundaries.":[153],"Extensive":[154],"experiments":[155],"standard":[157],"benchmarks":[160],"MiD-Blurry":[163],"setting":[164],"evaluate":[165],"inference-at-any-time":[166],"performance":[167],"generalization":[169],"future":[171],"data.":[172],"The":[173],"results":[174],"show":[175],"proposed":[178],"approach":[179],"maintains":[180],"practical":[182],"balance":[183],"between":[184],"adapting":[185],"new":[187],"learned":[192],"information":[193],"in":[194],"scenarios.":[198]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-24T00:00:00"}