{"id":"https://openalex.org/W4402980384","doi":"https://doi.org/10.1109/icme57554.2024.10687738","title":"Continual Semantic Segmentation via Mask-Based Class Rebalancing","display_name":"Continual Semantic Segmentation via Mask-Based Class Rebalancing","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402980384","doi":"https://doi.org/10.1109/icme57554.2024.10687738"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10687738","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10687738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","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/A5002824558","display_name":"Yongjie Guo","orcid":"https://orcid.org/0000-0002-6510-4535"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongjie Guo","raw_affiliation_strings":["Chinese Academy of Sciences,Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Aerospace Information Research Institute,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Aerospace Information Research Institute,Beijing,China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065643570","display_name":"Siya Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siya Chen","raw_affiliation_strings":["Chinese Academy of Sciences,Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Aerospace Information Research Institute,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Aerospace Information Research Institute,Beijing,China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066623798","display_name":"Hongjian You","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjian You","raw_affiliation_strings":["Chinese Academy of Sciences,Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Aerospace Information Research Institute,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Aerospace Information Research Institute,Beijing,China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002824558"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26961326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9438999891281128,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9438999891281128,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9417999982833862,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.932699978351593,"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":0.7450636029243469},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6419409513473511},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5517256259918213},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5443434715270996},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4491623342037201},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.447699636220932},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.42910975217819214}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7450636029243469},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6419409513473511},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5517256259918213},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5443434715270996},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4491623342037201},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.447699636220932},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42910975217819214}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10687738","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10687738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W2501551404","https://openalex.org/W4385583601","https://openalex.org/W4298131179","https://openalex.org/W2113201962","https://openalex.org/W4395685956","https://openalex.org/W2799953226","https://openalex.org/W4398146871","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Continual":[0],"semantic":[1,54],"segmentation":[2,55],"(CSS)":[3],"has":[4],"risen":[5],"as":[6],"a":[7,29,81,101],"popular":[8],"field,":[9],"which":[10,89],"aims":[11],"to":[12,39,83,110],"acquire":[13],"new":[14,33,44,95],"skills":[15],"constantly":[16],"without":[17],"forgetting":[18],"past":[19],"knowledge":[20,103],"catastrophically.":[21],"In":[22,46],"CSS,":[23],"we":[24,49,98],"identify":[25],"that":[26],"there":[27],"is":[28],"severe":[30],"imbalance":[31,60],"between":[32],"classes":[34],"and":[35,134],"old":[36,117],"classes,":[37],"leading":[38],"the":[40,52,58,67,75,91,112,121,131,139],"classifier":[41,92],"weight":[42],"toward":[43,94],"classes.":[45,96,118],"this":[47],"paper,":[48],"deal":[50],"with":[51,86,126],"continual":[53],"problem":[56],"from":[57,70],"class":[59,64,77],"perspective":[61],"via":[62],"mask-based":[63,76],"rebalancing,":[65],"avoiding":[66],"model":[68],"suffering":[69],"catastrophic":[71],"forgetting.":[72],"More":[73],"specifically,":[74],"rebalancing":[78],"depends":[79],"on":[80],"mask":[82],"combine":[84],"resampling":[85],"reweighting":[87],"ingenuously,":[88],"mitigates":[90],"bias":[93],"Besides,":[97],"also":[99],"propose":[100],"frequency":[102,107],"distillation,":[104],"leveraging":[105],"multiple":[106],"components":[108],"information":[109],"maintain":[111],"feature":[113],"representation":[114],"space":[115],"for":[116],"We":[119],"demonstrate":[120],"effectiveness":[122],"of":[123,130],"our":[124],"approach":[125],"an":[127],"extensive":[128],"evaluation":[129],"Pascal-VOC":[132],"2012":[133],"ADE20K":[135],"datasets,":[136],"significantly":[137],"outperforming":[138],"state-of-the-art":[140],"method.":[141]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}