{"id":"https://openalex.org/W4403791545","doi":"https://doi.org/10.1145/3664647.3680822","title":"Class Balance Matters to Active Class-Incremental Learning","display_name":"Class Balance Matters to Active Class-Incremental Learning","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403791545","doi":"https://doi.org/10.1145/3664647.3680822"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3680822","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3680822","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2412.06642","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102021313","display_name":"Zhenhong Huang","orcid":"https://orcid.org/0009-0001-1931-8217"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zitong Huang","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ze Chen","orcid":"https://orcid.org/0009-0003-2397-8458"},"institutions":[{"id":"https://openalex.org/I4401726805","display_name":"Megvii (China)","ror":"https://ror.org/040b32p69","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726805"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ze Chen","raw_affiliation_strings":["MEGVII Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"MEGVII Technology, Beijing, China","institution_ids":["https://openalex.org/I4401726805"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuanze Li","orcid":"https://orcid.org/0009-0000-0366-8362"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanze Li","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100760029","display_name":"Bowen Dong","orcid":"https://orcid.org/0000-0001-7379-1286"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bowen Dong","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060050139","display_name":"Erjin Zhou","orcid":"https://orcid.org/0000-0001-9234-0026"},"institutions":[{"id":"https://openalex.org/I4401726805","display_name":"Megvii (China)","ror":"https://ror.org/040b32p69","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726805"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Erjin Zhou","raw_affiliation_strings":["MEGVII Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"MEGVII Technology, Beijing, China","institution_ids":["https://openalex.org/I4401726805"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006207459","display_name":"Yong Liu","orcid":"https://orcid.org/0000-0002-1590-2029"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3004594783","display_name":"Institute of High Performance Computing","ror":"https://ror.org/02n0ejh50","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3004594783","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yong Liu","raw_affiliation_strings":["Institute of High Performance Computing, A*STAR, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Institute of High Performance Computing, A*STAR, Singapore, Singapore","institution_ids":["https://openalex.org/I3004594783","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001599295","display_name":"Rick Siow Mong Goh","orcid":"https://orcid.org/0000-0001-9116-1595"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3004594783","display_name":"Institute of High Performance Computing","ror":"https://ror.org/02n0ejh50","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3004594783","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Rick Siow Mong Goh","raw_affiliation_strings":["Institute of High Performance Computing, A*STAR, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Institute of High Performance Computing, A*STAR, Singapore, Singapore","institution_ids":["https://openalex.org/I3004594783","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101026168","display_name":"Chun-Mei Feng","orcid":"https://orcid.org/0000-0002-3044-9779"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3004594783","display_name":"Institute of High Performance Computing","ror":"https://ror.org/02n0ejh50","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3004594783","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chun-Mei Feng","raw_affiliation_strings":["Institute of High Performance Computing, A*STAR, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Institute of High Performance Computing, A*STAR, Singapore, Singapore","institution_ids":["https://openalex.org/I3004594783","https://openalex.org/I115228651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100636655","display_name":"Wangmeng Zuo","orcid":"https://orcid.org/0000-0002-3330-783X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wangmeng Zuo","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5102021313"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":2.044,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.88978254,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"9445","last_page":"9454"},"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":0.9975000023841858,"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":0.9975000023841858,"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/T12676","display_name":"Machine Learning and ELM","score":0.9448000192642212,"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","display_name":"Class (philosophy)","score":0.6904208660125732},{"id":"https://openalex.org/keywords/balance","display_name":"Balance (ability)","score":0.5866574645042419},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5788559913635254},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37178435921669006},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1350313127040863}],"concepts":[{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6904208660125732},{"id":"https://openalex.org/C168031717","wikidata":"https://www.wikidata.org/wiki/Q1530280","display_name":"Balance (ability)","level":2,"score":0.5866574645042419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5788559913635254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37178435921669006},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1350313127040863},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3664647.3680822","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3680822","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2412.06642","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.06642","pdf_url":"https://arxiv.org/pdf/2412.06642","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-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2412.06642","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.06642","pdf_url":"https://arxiv.org/pdf/2412.06642","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-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1667498517","display_name":null,"funder_award_id":"A20H4b014","funder_id":"https://openalex.org/F4320320696","funder_display_name":"Agency for Science, Technology and Research"},{"id":"https://openalex.org/G2407650886","display_name":null,"funder_award_id":"AISG2-TC-2021-003","funder_id":"https://openalex.org/F4320320696","funder_display_name":"Agency for Science, Technology and Research"},{"id":"https://openalex.org/G2728618265","display_name":null,"funder_award_id":"A20H4b0141","funder_id":"https://openalex.org/F4320320696","funder_display_name":"Agency for Science, Technology and Research"},{"id":"https://openalex.org/G3111654772","display_name":null,"funder_award_id":"AISG2-TC-2021-003","funder_id":"https://openalex.org/F4320320709","funder_display_name":"National Research Foundation Singapore"},{"id":"https://openalex.org/G4714111969","display_name":null,"funder_award_id":"AISG2-TC-","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"},{"id":"https://openalex.org/G6087515281","display_name":null,"funder_award_id":"A20H4b0141","funder_id":"https://openalex.org/F4320320709","funder_display_name":"National Research Foundation Singapore"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320320696","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09"},{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403791545.pdf"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W1580210754","https://openalex.org/W2047643928","https://openalex.org/W2098742124","https://openalex.org/W2117539524","https://openalex.org/W2299467264","https://openalex.org/W2533598788","https://openalex.org/W2554616628","https://openalex.org/W2560647685","https://openalex.org/W2786446225","https://openalex.org/W2948734064","https://openalex.org/W2949071326","https://openalex.org/W2964048876","https://openalex.org/W2964189064","https://openalex.org/W3021931813","https://openalex.org/W3035342403","https://openalex.org/W3098511564","https://openalex.org/W3168149265","https://openalex.org/W3174868646","https://openalex.org/W3175270254","https://openalex.org/W3175771944","https://openalex.org/W3176779063","https://openalex.org/W3177494822","https://openalex.org/W3180392831","https://openalex.org/W3198377975","https://openalex.org/W3202568778","https://openalex.org/W3204291495","https://openalex.org/W4212774754","https://openalex.org/W4225484930","https://openalex.org/W4226134030","https://openalex.org/W4281261996","https://openalex.org/W4281492306","https://openalex.org/W4288099568","https://openalex.org/W4292787441","https://openalex.org/W4292828951","https://openalex.org/W4292973282","https://openalex.org/W4304701271","https://openalex.org/W4308624236","https://openalex.org/W4312238419","https://openalex.org/W4312327301","https://openalex.org/W4312351187","https://openalex.org/W4312651322","https://openalex.org/W4312677475","https://openalex.org/W4312754066","https://openalex.org/W4313005250","https://openalex.org/W4375843778","https://openalex.org/W4386075780","https://openalex.org/W4386076527","https://openalex.org/W4386076680","https://openalex.org/W4390871807","https://openalex.org/W6838838199","https://openalex.org/W6846372548"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Few-Shot":[0],"Class-Incremental":[1,70],"Learning":[2,71],"has":[3],"shown":[4],"remarkable":[5],"efficacy":[6],"in":[7,130],"efficient":[8],"learning":[9,107,222],"new":[10],"concepts":[11],"with":[12,199],"limited":[13],"annotations.":[14],"Nevertheless,":[15],"the":[16,24,31,50,68,80,85,97,100,118,143,164,168,173,181],"heuristic":[17],"few-shot":[18],"annotations":[19],"may":[20],"not":[21],"always":[22],"cover":[23],"most":[25,51,81],"informative":[26,52,82],"samples,":[27,115,132],"which":[28,116,193],"largely":[29],"restricts":[30,117],"capability":[32],"of":[33,43,75,99,120,145,167,176],"incremental":[34,55,92,121],"learner.":[35],"We":[36],"aim":[37],"to":[38,78,88,95,161],"start":[39],"from":[40,84,110],"a":[41],"pool":[42,87],"large-scale":[44],"unlabeled":[45,86,147,178],"data":[46],"and":[47,128,187,218],"then":[48],"annotate":[49],"samples":[53,83],"for":[54,153],"learning.":[56,122],"Based":[57,61],"on":[58,62,196],"this":[59,63,65],"premise,":[60],"purpose,":[64],"paper":[66],"introduces":[67],"Active":[69],"(ACIL).":[72],"The":[73],"objective":[74],"ACIL":[76,205],"is":[77],"select":[79],"effectively":[89],"train":[90],"an":[91],"learner,":[93],"aiming":[94],"maximize":[96],"performance":[98],"resulting":[101],"model.":[102],"Note":[103],"that":[104,163,212],"vanilla":[105],"active":[106,221],"algorithms":[108],"suffer":[109],"class-imbalanced":[111],"distribution":[112,166,175],"among":[113],"annotated":[114],"ability":[119],"To":[123],"achieve":[124],"both":[125,215],"class":[126],"balance":[127],"informativeness":[129],"chosen":[131],"we":[133,140,156],"propose":[134],"Class-Balanced":[135],"Selection":[136],"(CBS)":[137],"strategy.":[138],"Specifically,":[139],"first":[141],"cluster":[142],"features":[144,170,179],"all":[146,177],"images":[148],"into":[149,189],"multiple":[150],"groups.":[151],"Then":[152],"each":[154],"cluster,":[155],"employ":[157],"greedy":[158],"selection":[159,217],"strategy":[160],"ensure":[162],"Gaussian":[165,174],"sampled":[169],"closely":[171],"matches":[172],"within":[180],"cluster.Our":[182],"CBS":[183,213],"can":[184],"be":[185],"plugged":[186],"played":[188],"those":[190],"CIL":[191],"methods":[192],"are":[194],"based":[195],"pretrained":[197],"models":[198],"prompts":[200],"tunning":[201],"technique.Extensive":[202],"experiments":[203],"under":[204],"protocol":[206],"across":[207],"five":[208],"diverse":[209],"datasets":[210],"demonstrate":[211],"outperforms":[214],"random":[216],"other":[219],"SOTA":[220],"approaches.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
