{"id":"https://openalex.org/W4415142734","doi":"https://doi.org/10.1109/iccv51701.2025.00238","title":"PROL: Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning","display_name":"PROL: Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4415142734","doi":"https://doi.org/10.1109/iccv51701.2025.00238"},"language":"en","primary_location":{"id":"doi:10.1109/iccv51701.2025.00238","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.00238","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2507.12305","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048298559","display_name":"M. Anwar Ma\u2019sum","orcid":"https://orcid.org/0000-0002-9251-7781"},"institutions":[{"id":"https://openalex.org/I170239107","display_name":"University of South Australia","ror":"https://ror.org/01p93h210","country_code":"AU","type":"education","lineage":["https://openalex.org/I170239107"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"M. Anwar Ma'sum","raw_affiliation_strings":["STEM University of South Australia,South Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STEM University of South Australia,South Australia","institution_ids":["https://openalex.org/I170239107"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036928886","display_name":"Mahardhika Pratama","orcid":"https://orcid.org/0000-0001-6531-5087"},"institutions":[{"id":"https://openalex.org/I170239107","display_name":"University of South Australia","ror":"https://ror.org/01p93h210","country_code":"AU","type":"education","lineage":["https://openalex.org/I170239107"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mahardhika Pratama","raw_affiliation_strings":["STEM University of South Australia,South Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STEM University of South Australia,South Australia","institution_ids":["https://openalex.org/I170239107"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019720185","display_name":"Savitha Ramasamy","orcid":"https://orcid.org/0000-0003-1534-2989"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Savitha Ramasamy","raw_affiliation_strings":["Institute for Infocomm Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100383342","display_name":"Lin Liu","orcid":"https://orcid.org/0000-0003-2843-5738"},"institutions":[{"id":"https://openalex.org/I170239107","display_name":"University of South Australia","ror":"https://ror.org/01p93h210","country_code":"AU","type":"education","lineage":["https://openalex.org/I170239107"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lin Liu","raw_affiliation_strings":["STEM University of South Australia,South Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STEM University of South Australia,South Australia","institution_ids":["https://openalex.org/I170239107"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100709492","display_name":"H. Habibullah","orcid":"https://orcid.org/0000-0002-9542-9525"},"institutions":[{"id":"https://openalex.org/I170239107","display_name":"University of South Australia","ror":"https://ror.org/01p93h210","country_code":"AU","type":"education","lineage":["https://openalex.org/I170239107"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Habibullah Habibullah","raw_affiliation_strings":["STEM University of South Australia,South Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STEM University of South Australia,South Australia","institution_ids":["https://openalex.org/I170239107"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024220409","display_name":"Ryszard Kowalczyk","orcid":"https://orcid.org/0000-0003-0937-4028"},"institutions":[{"id":"https://openalex.org/I170239107","display_name":"University of South Australia","ror":"https://ror.org/01p93h210","country_code":"AU","type":"education","lineage":["https://openalex.org/I170239107"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ryszard Kowalczyk","raw_affiliation_strings":["STEM University of South Australia,South Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STEM University of South Australia,South Australia","institution_ids":["https://openalex.org/I170239107"]}]}],"institutions":[],"countries_distinct_count":2,"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":0.14583112,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2471","last_page":"2481"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9940000176429749,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9940000176429749,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9878000020980835,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9846000075340271,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/streaming-data","display_name":"Streaming data","score":0.5760999917984009},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.5605000257492065},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5230000019073486},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5181999802589417},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5012000203132629},{"id":"https://openalex.org/keywords/online-learning","display_name":"Online learning","score":0.48339998722076416},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.44029998779296875},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.4097999930381775},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.34929999709129333}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7353000044822693},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.5760999917984009},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.5605000257492065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5565999746322632},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5230000019073486},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5199999809265137},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5181999802589417},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5012000203132629},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.48339998722076416},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.44029998779296875},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4097999930381775},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.34929999709129333},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.34689998626708984},{"id":"https://openalex.org/C187166803","wikidata":"https://www.wikidata.org/wiki/Q2835831","display_name":"Streaming algorithm","level":3,"score":0.3269999921321869},{"id":"https://openalex.org/C2777851325","wikidata":"https://www.wikidata.org/wiki/Q7094102","display_name":"Online model","level":2,"score":0.3061000108718872},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.304500013589859},{"id":"https://openalex.org/C84976871","wikidata":"https://www.wikidata.org/wiki/Q2015673","display_name":"Openness to experience","level":2,"score":0.2944999933242798},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.27070000767707825},{"id":"https://openalex.org/C115903097","wikidata":"https://www.wikidata.org/wiki/Q7094097","display_name":"Online machine learning","level":3,"score":0.26820001006126404},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.25699999928474426},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.2547000050544739},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.2538999915122986}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv51701.2025.00238","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.00238","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2507.12305","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.12305","pdf_url":"https://arxiv.org/pdf/2507.12305","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2507.12305","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2507.12305","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2507.12305","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.12305","pdf_url":"https://arxiv.org/pdf/2507.12305","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,78],"data":[1,11,89],"privacy":[2],"constraint":[3],"in":[4,22,33,51,64,85,161],"online":[5,116],"continual":[6,65,117],"learning":[7,66,118],"(OCL),":[8],"where":[9],"the":[10,18,30,37,52,56,59,69,93,97,103,158,194],"can":[12],"be":[13,49,83],"seen":[14],"only":[15],"once,":[16],"complicates":[17],"catastrophic":[19],"forgetting":[20],"problem":[21],"streaming":[23,104],"data.":[24,105],"A":[25],"common":[26],"approach":[27,61,80,95],"applied":[28],"by":[29],"current":[31,53,159],"SOTAs":[32,160],"OCL":[34],"is":[35,200],"with":[36,68,102],"use":[38],"of":[39,71,75,99,180,197],"memory":[40],"saving":[41],"exemplars":[42],"or":[43],"features":[44],"from":[45],"previous":[46],"classes":[47],"to":[48,88],"replayed":[50],"task.":[54],"On":[55],"other":[57],"hand,":[58],"prompt-based":[60,113],"performs":[62],"excellently":[63],"but":[67],"cost":[70],"a":[72,111,130,176],"growing":[73],"number":[74,179],"trainable":[76,134],"parameters.":[77],"first":[79],"may":[81],"not":[82],"applicable":[84],"practice":[86],"due":[87],"openness":[90],"policy,":[91],"while":[92],"second":[94],"has":[96],"issue":[98],"throughput":[100],"associated":[101],"In":[106],"this":[107],"study,":[108,193],"we":[109],"propose":[110],"novel":[112],"method":[114,152,174,199],"for":[115],"that":[119,172],"includes":[120],"4":[121],"main":[122],"components:":[123],"(1)":[124],"single":[125],"light-weight":[126],"prompt":[127],"generator":[128],"as":[129,136],"general":[131],"knowledge,":[132,138],"(2)":[133],"scaler-and-shifter":[135],"specific":[137],"(3)":[139],"pre-trained":[140],"model":[141],"(PTM)":[142],"generalization":[143],"preserving,":[144],"and":[145,165,182,189],"(4)":[146],"hard-soft":[147],"updates":[148],"mechanism.":[149],"Our":[150,168],"proposed":[151],"achieves":[153,183],"significantly":[154],"higher":[155],"performance":[156],"than":[157],"CIFAR100,":[162],"ImageNet-R,":[163],"ImageNet-A,":[164],"CUB":[166],"dataset.":[167],"complexity":[169],"analysis":[170],"shows":[171],"our":[173,198],"requires":[175],"relatively":[177],"smaller":[178],"parameters":[181],"moderate":[184],"training":[185],"time,":[186,188],"inference":[187],"throughput.":[190],"For":[191],"further":[192],"source":[195],"code":[196],"available":[201],"at":[202],"https://github.com/anwarmaxsum/PROL.":[203]},"counts_by_year":[],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-14T00:00:00"}
