{"id":"https://openalex.org/W4387968011","doi":"https://doi.org/10.1145/3581783.3611926","title":"Non-Exemplar Class-Incremental Learning via Adaptive Old Class Reconstruction","display_name":"Non-Exemplar Class-Incremental Learning via Adaptive Old Class Reconstruction","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387968011","doi":"https://doi.org/10.1145/3581783.3611926"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3611926","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3611926","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-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":"https://openalex.org/A5077560552","display_name":"Shaokun Wang","orcid":"https://orcid.org/0000-0001-8945-1200"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaokun Wang","raw_affiliation_strings":["Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-8945-1200","affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067450721","display_name":"Weiwei Shi","orcid":"https://orcid.org/0000-0001-8820-8970"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Shi","raw_affiliation_strings":["Xi'an University of Technology, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-8820-8970","affiliations":[{"raw_affiliation_string":"Xi'an University of Technology, Xi'an, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102819064","display_name":"Yuhang He","orcid":"https://orcid.org/0000-0002-6750-1403"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhang He","raw_affiliation_strings":["Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-6750-1403","affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056455411","display_name":"Yifan Yu","orcid":"https://orcid.org/0009-0002-5291-9003"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Yu","raw_affiliation_strings":["Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0009-0002-5291-9003","affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100687952","display_name":"Yihong Gong","orcid":"https://orcid.org/0000-0002-1793-5836"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihong Gong","raw_affiliation_strings":["Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-1793-5836","affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6316,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.87176231,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4524","last_page":"4534"},"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":0.9995999932289124,"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":0.9995999932289124,"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":0.9869999885559082,"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/computer-science","display_name":"Computer science","score":0.7591649293899536},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7290163040161133},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6735929250717163},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.673101007938385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6198976039886475},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.566646933555603},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5003190040588379},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"Incremental learning","score":0.4900597333908081},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48867085576057434},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.47569167613983154},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4479309618473053},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44194841384887695},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32005417346954346},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07213866710662842}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7591649293899536},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7290163040161133},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6735929250717163},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.673101007938385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6198976039886475},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.566646933555603},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5003190040588379},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.4900597333908081},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48867085576057434},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.47569167613983154},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4479309618473053},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44194841384887695},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32005417346954346},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07213866710662842},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3611926","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3611926","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.699999988079071,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G3400489732","display_name":null,"funder_award_id":"2022GY-082","funder_id":"https://openalex.org/F4320336350","funder_display_name":"Key Research and Development Projects of Shaanxi Province"},{"id":"https://openalex.org/G5344939785","display_name":null,"funder_award_id":"62006185","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5531537797","display_name":null,"funder_award_id":"22JT021","funder_id":"https://openalex.org/F4320325627","funder_display_name":"Education Department of Shaanxi Province"},{"id":"https://openalex.org/G6408364431","display_name":null,"funder_award_id":"U21B2048","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6491784331","display_name":null,"funder_award_id":"2020AAA0105600","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8169595818","display_name":null,"funder_award_id":"U21B2048; 62006185","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/F4320325627","display_name":"Education Department of Shaanxi Province","ror":null},{"id":"https://openalex.org/F4320336350","display_name":"Key Research and Development Projects of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W1997865285","https://openalex.org/W2030503833","https://openalex.org/W2116873850","https://openalex.org/W2194775991","https://openalex.org/W2473930607","https://openalex.org/W2560647685","https://openalex.org/W2884282566","https://openalex.org/W2948734064","https://openalex.org/W2954929116","https://openalex.org/W2962842918","https://openalex.org/W2963072899","https://openalex.org/W2964189064","https://openalex.org/W2981864462","https://openalex.org/W2982106239","https://openalex.org/W3007041883","https://openalex.org/W3100156920","https://openalex.org/W3105913416","https://openalex.org/W3106217498","https://openalex.org/W3107810305","https://openalex.org/W3109894131","https://openalex.org/W3113584014","https://openalex.org/W3144281354","https://openalex.org/W3156861396","https://openalex.org/W3163939464","https://openalex.org/W3166968943","https://openalex.org/W3175294706","https://openalex.org/W3175516982","https://openalex.org/W3176779063","https://openalex.org/W3178686235","https://openalex.org/W3180392831","https://openalex.org/W3204532479","https://openalex.org/W3207854039","https://openalex.org/W3212150209","https://openalex.org/W4214662032","https://openalex.org/W4214924370","https://openalex.org/W4221161784","https://openalex.org/W4225484930","https://openalex.org/W4288099568","https://openalex.org/W4312232016","https://openalex.org/W4312309344","https://openalex.org/W4312521314","https://openalex.org/W4312583258","https://openalex.org/W4312640688","https://openalex.org/W4312769405","https://openalex.org/W4312771814","https://openalex.org/W4361741631","https://openalex.org/W6638523607","https://openalex.org/W6803451136"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2378211422","https://openalex.org/W1482209366","https://openalex.org/W2110523656","https://openalex.org/W2087286500"],"abstract_inverted_index":{"In":[0,46],"the":[1,99,103,108,116,130,135,159,166],"Class-Incremental":[2,43],"Learning":[3,44],"(CIL)":[4],"task,":[5],"rehearsal-based":[6],"approaches":[7],"have":[8],"received":[9],"a":[10,51,66,72],"lot":[11],"of":[12,91,145,161],"attention":[13],"recently.":[14],"However,":[15],"storing":[16],"old":[17,92,113,122,146],"class":[18,123],"samples":[19],"is":[20,29,34,38,118,137],"often":[21],"infeasible":[22],"in":[23,64,94,129],"application":[24],"scenarios":[25],"where":[26],"device":[27],"memory":[28],"insufficient":[30],"or":[31],"data":[32],"privacy":[33],"important.":[35],"Therefore,":[36],"it":[37],"necessary":[39],"to":[40,87,106,120,125,139,148],"rethink":[41],"Non-Exemplar":[42],"(NECIL).":[45],"this":[47],"paper,":[48],"we":[49],"propose":[50],"novel":[52],"NECIL":[53,168],"method":[54,70,76,83,164],"named":[55],"POLO":[56],"with":[57],"an":[58,79],"adaPtive":[59],"Old":[60],"cLass":[61],"recOnstruction":[62],"mechanism,":[63],"which":[65],"density-based":[67],"prototype":[68,74,81],"reinforcement":[69],"(DBR),":[71],"topology-correction":[73],"adaptation":[75],"(TPA),":[77],"and":[78],"adaptive":[80],"augmentation":[82],"(APA)":[84],"are":[85],"designed":[86,119],"reconstruct":[88],"pseudo":[89,142],"features":[90,105],"classes":[93,147],"new":[95,126,149],"incremental":[96,131],"sessions.":[97],"Specifically,":[98],"DBR":[100],"focuses":[101],"on":[102,154],"low-density":[104],"maintain":[107],"model's":[109],"discriminative":[110],"ability":[111],"for":[112],"classes.":[114],"Afterward,":[115],"TPA":[117],"adapt":[121,141],"prototypes":[124],"feature":[127,143,150],"spaces":[128,144],"learning":[132],"process.":[133],"Finally,":[134],"APA":[136],"developed":[138],"further":[140],"spaces.":[151],"Experimental":[152],"evaluations":[153],"four":[155],"benchmark":[156],"datasets":[157],"demonstrate":[158],"effectiveness":[160],"our":[162],"proposed":[163],"over":[165],"state-of-the-art":[167],"methods.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}