{"id":"https://openalex.org/W3204532479","doi":"https://doi.org/10.1109/iccv48922.2021.00116","title":"Striking a Balance between Stability and Plasticity for Class-Incremental Learning","display_name":"Striking a Balance between Stability and Plasticity for Class-Incremental Learning","publication_year":2021,"publication_date":"2021-10-01","ids":{"openalex":"https://openalex.org/W3204532479","doi":"https://doi.org/10.1109/iccv48922.2021.00116","mag":"3204532479"},"language":"en","primary_location":{"id":"doi:10.1109/iccv48922.2021.00116","doi":"https://doi.org/10.1109/iccv48922.2021.00116","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv48922.2021.00116","pdf_url":null,"source":{"id":"https://openalex.org/S4363607764","display_name":"IEEE/CVF International Conference on Computer Vision (ICCV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/77838/2/Gong%20Striking%20a%20Balance%202021%20Accepted.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082901351","display_name":"Guile Wu","orcid":"https://orcid.org/0000-0001-7319-473X","observed_orcids":["https://orcid.org/0000-0001-7319-473X"]},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Guile Wu","raw_affiliation_strings":["Mary University of London"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mary University of London","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039302902","display_name":"Shaogang Gong","orcid":"https://orcid.org/0000-0001-8156-2299","observed_orcids":["https://orcid.org/0000-0001-8156-2299"]},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shaogang Gong","raw_affiliation_strings":["Mary University of London"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mary University of London","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5097952602","display_name":"Pan Li Queen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pan Li Queen","raw_affiliation_strings":["Mary University of London"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mary University of London","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":null,"apc_paid":null,"fwci":4.3248,"has_fulltext":true,"cited_by_count":56,"citation_normalized_percentile":{"value":0.95647795,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1104","last_page":"1113"},"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":0.9994999766349792,"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":0.9994999766349792,"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":0.0003000000142492354,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.0,"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/class-incremental-learning","display_name":"class-incremental learning","score":1.0},{"id":"https://openalex.org/keywords/stability-plasticity-trade-off","display_name":"stability-plasticity trade-off","score":0.8659999966621399},{"id":"https://openalex.org/keywords/catastrophic-forgetting","display_name":"catastrophic forgetting","score":0.8960000276565552},{"id":"https://openalex.org/keywords/continual-learning","display_name":"continual learning","score":0.621999979019165}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7439519166946411},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.7437210083007812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6833553314208984},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6672512292861938},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.5951683521270752},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4985687732696533},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4452115297317505},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.44385725259780884},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.43750452995300293},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4322758913040161},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.431969553232193},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.08719366788864136},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccv48922.2021.00116","doi":"https://doi.org/10.1109/iccv48922.2021.00116","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv48922.2021.00116","pdf_url":null,"source":{"id":"https://openalex.org/S4363607764","display_name":"IEEE/CVF International Conference on Computer Vision (ICCV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/77838","doi":null,"is_oa":true,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/77838","pdf_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/77838/2/Gong%20Striking%20a%20Balance%202021%20Accepted.pdf","source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/77838","doi":null,"is_oa":true,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/77838","pdf_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/77838/2/Gong%20Striking%20a%20Balance%202021%20Accepted.pdf","source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311061","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846"},{"id":"https://openalex.org/F4320335087","display_name":"Innovate UK","ror":"https://ror.org/05ar5fy68"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3204532479.pdf","grobid_xml":"https://content.openalex.org/works/W3204532479.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1682403713","https://openalex.org/W1797268635","https://openalex.org/W1821462560","https://openalex.org/W1839408879","https://openalex.org/W2036963181","https://openalex.org/W2059148040","https://openalex.org/W2117539524","https://openalex.org/W2152477898","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2340427832","https://openalex.org/W2432717477","https://openalex.org/W2473930607","https://openalex.org/W2533598788","https://openalex.org/W2554863749","https://openalex.org/W2560647685","https://openalex.org/W2768412495","https://openalex.org/W2785325870","https://openalex.org/W2786446225","https://openalex.org/W2796346823","https://openalex.org/W2798836702","https://openalex.org/W2884282566","https://openalex.org/W2892936772","https://openalex.org/W2895723011","https://openalex.org/W2901678097","https://openalex.org/W2948734064","https://openalex.org/W2950996604","https://openalex.org/W2954929116","https://openalex.org/W2962898354","https://openalex.org/W2963178577","https://openalex.org/W2963341924","https://openalex.org/W2963788399","https://openalex.org/W2981864462","https://openalex.org/W2994536315","https://openalex.org/W2994602346","https://openalex.org/W3005680577","https://openalex.org/W3007041883","https://openalex.org/W3034169498","https://openalex.org/W3034337759","https://openalex.org/W3034856281","https://openalex.org/W3034933965","https://openalex.org/W3035342403","https://openalex.org/W3035501943","https://openalex.org/W3118608800","https://openalex.org/W3174581090","https://openalex.org/W4250621041","https://openalex.org/W4320013936","https://openalex.org/W6638319203","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W4322097014","https://openalex.org/W4297834105","https://openalex.org/W7161157961","https://openalex.org/W4407403994","https://openalex.org/W7169683378","https://openalex.org/W4405119592","https://openalex.org/W4386071459","https://openalex.org/W4411486856","https://openalex.org/W4391307007","https://openalex.org/W3133105109"],"abstract_inverted_index":{"Class-incremental":[0],"learning":[1,71,85,122,136],"(CIL)":[2],"aims":[3],"at":[4,47],"continuously":[5],"updating":[6],"a":[7,82,94,102],"trained":[8],"model":[9,33,57],"with":[10],"new":[11,86,117,137],"classes":[12,77],"(plasticity)":[13],"without":[14],"forgetting":[15],"previously":[16],"learned":[17],"old":[18,76,90,139],"ones":[19],"(stability).":[20],"Contemporary":[21],"studies":[22],"resort":[23],"to":[24,119,134,149],"storing":[25,45],"representative":[26],"exemplars":[27,46,74],"for":[28,44],"rehearsal":[29],"or":[30],"preventing":[31],"consolidated":[32],"parameters":[34],"from":[35,75,146],"drifting,":[36],"but":[37],"the":[38,52,66,111,142,162,168],"former":[39,130],"requires":[40],"an":[41],"additional":[42],"space":[43],"every":[48],"incremental":[49],"phase":[50],"while":[51,141],"latter":[53,143],"usually":[54],"shows":[55],"poor":[56],"generalization.":[58],"In":[59],"this":[60],"paper,":[61],"we":[62,92,114],"focus":[63],"on":[64,101,154],"resolving":[65],"stability-plasticity":[67],"dilemma":[68],"in":[69],"class-incremental":[70],"where":[72],"no":[73],"are":[78],"stored.":[79],"To":[80],"make":[81],"trade-off":[83],"between":[84],"information":[87],"and":[88,106,125,138],"maintaining":[89],"knowledge,":[91,127],"reformulate":[93],"simple":[95],"yet":[96],"effective":[97],"baseline":[98],"method":[99],"based":[100],"cosine":[103],"classifier":[104],"framework":[105],"reciprocal":[107],"adaptive":[108],"weights.":[109],"With":[110],"reformulated":[112],"baseline,":[113],"present":[115],"two":[116],"approaches":[118,166],"CIL":[120,158],"by":[121],"class-independent":[123,132],"knowledge":[124,133,145],"multi-perspective":[126],"respectively.":[128],"The":[129],"exploits":[131],"bridge":[135],"classes,":[140],"learns":[144],"different":[147],"perspectives":[148],"facilitate":[150],"CIL.":[151],"Extensive":[152],"experiments":[153],"several":[155],"widely":[156],"used":[157],"benchmark":[159],"datasets":[160],"show":[161],"superiority":[163],"of":[164],"our":[165],"over":[167],"state-of-the-art":[169],"methods.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":11}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2021-10-11T00:00:00"}