{"id":"https://openalex.org/W4410294935","doi":"https://doi.org/10.1109/access.2025.3569263","title":"Mitigating Class Confusion in Class-Incremental Semantic Segmentation","display_name":"Mitigating Class Confusion in Class-Incremental Semantic Segmentation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410294935","doi":"https://doi.org/10.1109/access.2025.3569263"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3569263","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3569263","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3569263","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102506463","display_name":"Nayoung Ko","orcid":null},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Nayoung Ko","raw_affiliation_strings":["Department of Artificial Intelligence, Chung-Ang University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0004-0867-8542","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Chung-Ang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075183873","display_name":"Gyeong-Hyeon Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Gyeong-Hyeon Kim","raw_affiliation_strings":["School of Computer Science and Engineering, Chung-Ang University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-6688-3083","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Chung-Ang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074532898","display_name":"Eunwoo Kim","orcid":"https://orcid.org/0000-0003-0840-0044"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Eunwoo Kim","raw_affiliation_strings":["Department of Artificial Intelligence, Chung-Ang University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-0840-0044","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Chung-Ang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I67900169"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I67900169"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03721939,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"84130","last_page":"84138"},"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":0.8730000257492065,"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":0.8730000257492065,"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/T10028","display_name":"Topic Modeling","score":0.771399974822998,"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":0.7500075697898865},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.6965266466140747},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6835096478462219},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5059663653373718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5035514235496521},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4830261170864105},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32526934146881104},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08923092484474182}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7500075697898865},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.6965266466140747},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6835096478462219},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5059663653373718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5035514235496521},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4830261170864105},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32526934146881104},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08923092484474182},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3569263","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3569263","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8da7646a43fb47769d01dd747de75401","is_oa":true,"landing_page_url":"https://doaj.org/article/8da7646a43fb47769d01dd747de75401","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":"IEEE Access, Vol 13, Pp 84130-84138 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3569263","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3569263","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G13572568","display_name":null,"funder_award_id":"RS-2021-II211341","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"}],"funders":[{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1682403713","https://openalex.org/W1903029394","https://openalex.org/W2031489346","https://openalex.org/W2125215748","https://openalex.org/W2737258237","https://openalex.org/W2963150697","https://openalex.org/W2963319519","https://openalex.org/W3034435444","https://openalex.org/W3034749803","https://openalex.org/W3171888599","https://openalex.org/W3198377975","https://openalex.org/W4226381579","https://openalex.org/W4312401347","https://openalex.org/W4385245566","https://openalex.org/W4386076193","https://openalex.org/W4386076491","https://openalex.org/W4386736927","https://openalex.org/W4388571894","https://openalex.org/W4390874406","https://openalex.org/W4394593199","https://openalex.org/W4394625662","https://openalex.org/W4402727877","https://openalex.org/W6739696289","https://openalex.org/W6791353385","https://openalex.org/W6804049574"],"related_works":["https://openalex.org/W2964976023","https://openalex.org/W1982477181","https://openalex.org/W2403083015","https://openalex.org/W4285488523","https://openalex.org/W2011367623","https://openalex.org/W4408384948","https://openalex.org/W2734065904","https://openalex.org/W2027125286","https://openalex.org/W2049289069","https://openalex.org/W2809078847"],"abstract_inverted_index":{"Class-incremental":[0],"semantic":[1,16,85],"segmentation":[2,91],"(CSS)":[3],"aims":[4],"to":[5,13,40,53,69,83,106,117,141,154,159],"continuously":[6],"classify":[7],"every":[8],"pixel":[9],"in":[10,100,192,196],"an":[11],"image":[12],"its":[14],"corresponding":[15],"class.":[17],"Existing":[18],"CSS":[19,67,189],"models":[20],"suffer":[21],"from":[22,121],"two":[23,130],"challenges:":[24],"catastrophic":[25],"forgetting":[26],"and":[27,44,181],"background":[28],"shift.":[29],"Moreover,":[30,158],"when":[31,128],"new":[32,43,125],"classes":[33,46,137],"are":[34,48,131,138],"introduced":[35],"over":[36],"time,":[37],"they":[38],"struggle":[39],"differentiate":[41],"between":[42,87,151,171],"old":[45,119],"that":[47,185],"visually":[49,132,135],"similar.":[50,133],"We":[51],"refer":[52],"this":[54],"problem":[55],"asclass":[56],"confusion.":[57],"To":[58],"address":[59],"the":[60,129,149,161,169],"above":[61],"issues,":[62],"we":[63,76,111,167],"propose":[64,112],"a":[65,78,101],"novel":[66],"approach":[68],"mitigate":[70],"class":[71,108,114,194],"confusion,":[72],"called":[73],"MC-Seg.":[74],"First,":[75],"introduce":[77],"graph":[79],"attention":[80],"decoder":[81],"(GAD)":[82],"capture":[84],"relationships":[86],"embeddings,":[88],"enabling":[89,103],"clearer":[90],"across":[92],"classes.":[93],"GAD":[94],"uses":[95],"joint":[96],"embeddings":[97,105,153],"as":[98],"nodes":[99],"graph,":[102],"visual":[104],"incorporate":[107],"information.":[109],"Furthermore,":[110],"similarity-aware":[113],"discrimination":[115],"(SCD)":[116],"prevent":[118],"knowledge":[120,162],"being":[122],"overwritten":[123],"by":[124],"knowledge,":[126],"particularly":[127],"Since":[134],"similar":[136],"more":[139],"likely":[140],"be":[142],"confused":[143],"with":[144],"each":[145],"other,":[146,164],"SCD":[147],"increases":[148],"distances":[150,170],"their":[152,172],"preserve":[155],"essential":[156],"distinctions.":[157],"retain":[160],"of":[163],"non-similar":[165],"classes,":[166],"maintain":[168],"embeddings.":[173],"Extensive":[174],"experiments":[175],"on":[176],"PASCAL":[177,182],"VOC":[178],"2012,":[179],"ADE20K":[180],"Context":[183],"show":[184],"MC-Seg":[186],"outperforms":[187],"state-of-the-art":[188],"methods,":[190],"especially":[191],"alleviating":[193],"confusion":[195],"incremental":[197],"learning.":[198]},"counts_by_year":[],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
