{"id":"https://openalex.org/W4396855806","doi":"https://doi.org/10.3390/s24103087","title":"Analysis of Continual Learning Techniques for Image Generative Models with Learned Class Information Management","display_name":"Analysis of Continual Learning Techniques for Image Generative Models with Learned Class Information Management","publication_year":2024,"publication_date":"2024-05-13","ids":{"openalex":"https://openalex.org/W4396855806","doi":"https://doi.org/10.3390/s24103087","pmid":"https://pubmed.ncbi.nlm.nih.gov/38793943"},"language":"en","primary_location":{"id":"doi:10.3390/s24103087","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24103087","pdf_url":"https://www.mdpi.com/1424-8220/24/10/3087/pdf?version=1715595376","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/10/3087/pdf?version=1715595376","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077138152","display_name":"Taro Togo","orcid":"https://orcid.org/0009-0004-4226-7253"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Taro Togo","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University, N-14, W-9, Kita-ku, Sapporo 060-0814, Hokkaido, Japan"],"raw_orcid":"https://orcid.org/0009-0004-4226-7253","affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, N-14, W-9, Kita-ku, Sapporo 060-0814, Hokkaido, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002757875","display_name":"Ren Togo","orcid":"https://orcid.org/0000-0002-4474-3995"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ren Togo","raw_affiliation_strings":["Faculty of Information Science and Technology, Hokkaido University, N-14, W-9, Kita-ku, Sapporo 060-0814, Hokkaido, Japan"],"raw_orcid":"https://orcid.org/0000-0002-4474-3995","affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Technology, Hokkaido University, N-14, W-9, Kita-ku, Sapporo 060-0814, Hokkaido, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033215072","display_name":"Keisuke Maeda","orcid":"https://orcid.org/0000-0001-8039-3462"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keisuke Maeda","raw_affiliation_strings":["Data-Driven Interdisciplinary Research Emergence Department, Hokkaido University, N-14, W-9, Kita-ku, Sapporo 060-0814, Hokkaido, Japan"],"raw_orcid":"https://orcid.org/0000-0001-8039-3462","affiliations":[{"raw_affiliation_string":"Data-Driven Interdisciplinary Research Emergence Department, Hokkaido University, N-14, W-9, Kita-ku, Sapporo 060-0814, Hokkaido, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009032240","display_name":"Takahiro Ogawa","orcid":"https://orcid.org/0000-0001-5332-8112"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahiro Ogawa","raw_affiliation_strings":["Faculty of Information Science and Technology, Hokkaido University, N-14, W-9, Kita-ku, Sapporo 060-0814, Hokkaido, Japan"],"raw_orcid":"https://orcid.org/0000-0001-5332-8112","affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Technology, Hokkaido University, N-14, W-9, Kita-ku, Sapporo 060-0814, Hokkaido, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"last","author":{"id":null,"display_name":"Miki Haseyama","orcid":"https://orcid.org/0000-0003-1496-1761"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Miki Haseyama","raw_affiliation_strings":["Faculty of Information Science and Technology, Hokkaido University, N-14, W-9, Kita-ku, Sapporo 060-0814, Hokkaido, Japan"],"raw_orcid":"https://orcid.org/0000-0003-1496-1761","affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Technology, Hokkaido University, N-14, W-9, Kita-ku, Sapporo 060-0814, Hokkaido, Japan","institution_ids":["https://openalex.org/I205349734"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I205349734"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.4869,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.69682166,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"24","issue":"10","first_page":"3087","last_page":"3087"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9958999752998352,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.95660001039505,"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/adaptability","display_name":"Adaptability","score":0.8102639317512512},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.7795107364654541},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6755167245864868},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6201649904251099},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6057785153388977},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6011342406272888},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.512374997138977}],"concepts":[{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.8102639317512512},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.7795107364654541},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6755167245864868},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6201649904251099},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6057785153388977},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6011342406272888},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.512374997138977},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s24103087","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24103087","pdf_url":"https://www.mdpi.com/1424-8220/24/10/3087/pdf?version=1715595376","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:38793943","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38793943","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11125277","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11125277","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11125277/pdf/sensors-24-03087.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:fc08c8dc01d6428cadecc44fcfb227b0","is_oa":true,"landing_page_url":"https://doaj.org/article/fc08c8dc01d6428cadecc44fcfb227b0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 10, p 3087 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24103087","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24103087","pdf_url":"https://www.mdpi.com/1424-8220/24/10/3087/pdf?version=1715595376","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5600000023841858}],"awards":[{"id":"https://openalex.org/G2044510060","display_name":"\u751f\u6210AI\u3068\u306e\u878d\u5408\u306b\u3088\u308a\u6f5c\u5728\u7684\u55dc\u597d\u3092\u628a\u63e1\u53ef\u80fd\u3068\u3059\u308b\u30e6\u30fc\u30b6\u4e2d\u5fc3\u63a8\u85a6\u6280\u8853\u306e\u69cb\u7bc9","funder_award_id":"24K02942","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G3586487095","display_name":"Construction of ultra-low-volume anonymous learning technology and universal learning technology to improve the versatility of medical AI","funder_award_id":"23K11141","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4092381066","display_name":"General-purpose deep learning theory for ultra-low computational complexity and low capacity in the age of edge AI","funder_award_id":"23K21676","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4562627959","display_name":"\u753b\u50cf\u8a8d\u8b58\u306e\u9ad8\u5ea6\u5316\u306b\u5411\u3051\u305f\u753b\u50cf\u306e\u64ae\u5f71\u65b9\u6cd5\u3092\u6700\u9069\u5316\u3059\u308b\u7570\u74b0\u5883\u7570\u7a2e\u30c7\u30fc\u30bf\u9069\u5fdc\u578bAI\u306e\u69cb\u7bc9","funder_award_id":"23K11211","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G7580542989","display_name":null,"funder_award_id":"JP23K11211","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8595477435","display_name":null,"funder_award_id":"JP23K11141","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8739887802","display_name":null,"funder_award_id":"JP21H03456","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4396855806.pdf"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1488996941","https://openalex.org/W2047057213","https://openalex.org/W2108501770","https://openalex.org/W2560647685","https://openalex.org/W2893749619","https://openalex.org/W2906141031","https://openalex.org/W2919115771","https://openalex.org/W2957032429","https://openalex.org/W2962793481","https://openalex.org/W2963890275","https://openalex.org/W2976241900","https://openalex.org/W3035399978","https://openalex.org/W3046253174","https://openalex.org/W3048295731","https://openalex.org/W3122887982","https://openalex.org/W3127248274","https://openalex.org/W3154155772","https://openalex.org/W3163939464","https://openalex.org/W3195155975","https://openalex.org/W4225832925","https://openalex.org/W4281937774","https://openalex.org/W4290927734","https://openalex.org/W4306178264","https://openalex.org/W4309347615","https://openalex.org/W4311655449","https://openalex.org/W4366371549","https://openalex.org/W4377111763","https://openalex.org/W4383822109","https://openalex.org/W4385318467","https://openalex.org/W4386065404","https://openalex.org/W4386072096","https://openalex.org/W4386076014","https://openalex.org/W4390872297","https://openalex.org/W4391136507","https://openalex.org/W4391468387","https://openalex.org/W6640963894","https://openalex.org/W6715501732","https://openalex.org/W6741087337","https://openalex.org/W6779823529","https://openalex.org/W6839394111","https://openalex.org/W6850017438","https://openalex.org/W6852797915"],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W2387399993","https://openalex.org/W2389739210","https://openalex.org/W2348924972","https://openalex.org/W2365736347","https://openalex.org/W2047454415","https://openalex.org/W2070040999","https://openalex.org/W2387293848","https://openalex.org/W2250140200","https://openalex.org/W3121791438"],"abstract_inverted_index":{"The":[0,125],"advancements":[1],"in":[2,122],"deep":[3],"learning":[4,62,136],"have":[5],"significantly":[6],"enhanced":[7],"the":[8,39,54,85,94,111,135,148,157],"capability":[9],"of":[10,35,41,56,96,104,116,141,151,162],"image":[11,142,152],"generation":[12,143,153],"models":[13,26,117],"to":[14,27,70,88],"produce":[15],"images":[16],"aligned":[17],"with":[18,75],"human":[19],"intentions.":[20],"However,":[21],"training":[22],"and":[23,30,38,118,138,155,160],"adapting":[24],"these":[25,51],"new":[28,76],"data":[29,90],"tasks":[31],"remain":[32],"challenging":[33],"because":[34],"their":[36,108,120],"complexity":[37],"risk":[40],"catastrophic":[42],"forgetting.":[43],"This":[44,64,82,145],"study":[45,146],"proposes":[46],"a":[47,60,101],"method":[48,65,132],"for":[49],"addressing":[50],"challenges":[52],"involving":[53],"application":[55,149],"class-replacement":[57,105],"techniques":[58],"within":[59],"continual":[61,158],"framework.":[63],"utilizes":[66],"selective":[67],"amnesia":[68],"(SA)":[69],"efficiently":[71],"replace":[72],"existing":[73],"classes":[74],"ones":[77],"while":[78,92],"retaining":[79],"crucial":[80],"information.":[81,98],"approach":[83],"improves":[84],"model's":[86],"adaptability":[87,161],"evolving":[89],"environments":[91],"preventing":[93],"loss":[95],"past":[97],"We":[99],"conducted":[100],"detailed":[102],"evaluation":[103],"techniques,":[106],"examining":[107],"impact":[109],"on":[110],"\"class":[112],"incremental":[113],"learning\"":[114],"performance":[115,140],"exploring":[119],"applicability":[121],"various":[123],"scenarios.":[124],"experimental":[126],"results":[127],"demonstrated":[128],"that":[129],"our":[130],"proposed":[131],"could":[133],"enhance":[134],"efficiency":[137],"long-term":[139],"models.":[144,164],"broadens":[147],"scope":[150],"technology":[154],"supports":[156],"improvement":[159],"corresponding":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}