{"id":"https://openalex.org/W4312338371","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892200","title":"Continual Unsupervised Domain Adaptation for Semantic Segmentation using a Class-Specific Transfer","display_name":"Continual Unsupervised Domain Adaptation for Semantic Segmentation using a Class-Specific Transfer","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312338371","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892200"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892200","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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/A5090266268","display_name":"Robert A. Marsden","orcid":null},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Robert A. Marsden","raw_affiliation_strings":["Institute of Signal Processing and System Theory, University of Stuttgart,Stuttgart,Germany","Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Signal Processing and System Theory, University of Stuttgart,Stuttgart,Germany","institution_ids":["https://openalex.org/I100066346"]},{"raw_affiliation_string":"Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049738037","display_name":"Felix Wiewel","orcid":null},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Felix Wiewel","raw_affiliation_strings":["Institute of Signal Processing and System Theory, University of Stuttgart,Stuttgart,Germany","Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Signal Processing and System Theory, University of Stuttgart,Stuttgart,Germany","institution_ids":["https://openalex.org/I100066346"]},{"raw_affiliation_string":"Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061072628","display_name":"Mario D\u00f6bler","orcid":null},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mario Dobler","raw_affiliation_strings":["Institute of Signal Processing and System Theory, University of Stuttgart,Stuttgart,Germany","Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Signal Processing and System Theory, University of Stuttgart,Stuttgart,Germany","institution_ids":["https://openalex.org/I100066346"]},{"raw_affiliation_string":"Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397616","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-5070-4511"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["Institute of Signal Processing and System Theory, University of Stuttgart,Stuttgart,Germany","Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Signal Processing and System Theory, University of Stuttgart,Stuttgart,Germany","institution_ids":["https://openalex.org/I100066346"]},{"raw_affiliation_string":"Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059650009","display_name":"Bin Yang","orcid":"https://orcid.org/0000-0002-3015-3580"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bin Yang","raw_affiliation_strings":["Institute of Signal Processing and System Theory, University of Stuttgart,Stuttgart,Germany","Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Signal Processing and System Theory, University of Stuttgart,Stuttgart,Germany","institution_ids":["https://openalex.org/I100066346"]},{"raw_affiliation_string":"Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5090266268"],"corresponding_institution_ids":["https://openalex.org/I100066346"],"apc_list":null,"apc_paid":null,"fwci":1.6621,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.86220642,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"40","issue":null,"first_page":"1","last_page":"8"},"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":0.9987000226974487,"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":0.9987000226974487,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9886000156402588,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9861000180244446,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8050692081451416},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6954966187477112},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6241101026535034},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5179975628852844},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.4998288154602051},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4813995361328125},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.46209990978240967},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4588833749294281},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.4363346993923187},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.43250924348831177},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.354367196559906}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8050692081451416},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6954966187477112},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6241101026535034},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5179975628852844},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.4998288154602051},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4813995361328125},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.46209990978240967},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4588833749294281},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.4363346993923187},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.43250924348831177},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.354367196559906},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9892200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892200","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W1682403713","https://openalex.org/W1686810756","https://openalex.org/W1779010541","https://openalex.org/W2331128040","https://openalex.org/W2340897893","https://openalex.org/W2412782625","https://openalex.org/W2431874326","https://openalex.org/W2475287302","https://openalex.org/W2560647685","https://openalex.org/W2562192638","https://openalex.org/W2583638424","https://openalex.org/W2603777577","https://openalex.org/W2770501762","https://openalex.org/W2786446225","https://openalex.org/W2895168809","https://openalex.org/W2895281799","https://openalex.org/W2962793481","https://openalex.org/W2962808524","https://openalex.org/W2963073217","https://openalex.org/W2963107255","https://openalex.org/W2963120918","https://openalex.org/W2963209464","https://openalex.org/W2963540014","https://openalex.org/W2963559848","https://openalex.org/W2963890275","https://openalex.org/W2964309882","https://openalex.org/W2966183206","https://openalex.org/W2969893028","https://openalex.org/W2972285644","https://openalex.org/W2981429991","https://openalex.org/W2981512393","https://openalex.org/W2981925632","https://openalex.org/W2982410491","https://openalex.org/W3034247804","https://openalex.org/W3034417116","https://openalex.org/W3035294798","https://openalex.org/W3102977943","https://openalex.org/W3104433444","https://openalex.org/W3108280718","https://openalex.org/W3108316907","https://openalex.org/W3108566666","https://openalex.org/W3119635706","https://openalex.org/W3120804725","https://openalex.org/W3176395558","https://openalex.org/W3206488440","https://openalex.org/W3207649350","https://openalex.org/W4240805545","https://openalex.org/W4301163820","https://openalex.org/W4312454920","https://openalex.org/W4319988532","https://openalex.org/W4320013936","https://openalex.org/W6637373629","https://openalex.org/W6702130928","https://openalex.org/W6730623217","https://openalex.org/W6738602802","https://openalex.org/W6741217325","https://openalex.org/W6742852309","https://openalex.org/W6746282794","https://openalex.org/W6748481559","https://openalex.org/W6748649680","https://openalex.org/W6755287564","https://openalex.org/W6766621194","https://openalex.org/W6767268582","https://openalex.org/W6772151704","https://openalex.org/W6780903180","https://openalex.org/W6781933642","https://openalex.org/W6785458191","https://openalex.org/W6795281413","https://openalex.org/W6802694624","https://openalex.org/W6849896277"],"related_works":["https://openalex.org/W2016839265","https://openalex.org/W4308262314","https://openalex.org/W1991269640","https://openalex.org/W2018445155","https://openalex.org/W3212798775","https://openalex.org/W4281382123","https://openalex.org/W2508457823","https://openalex.org/W4206076898","https://openalex.org/W4200611801","https://openalex.org/W2946038180"],"abstract_inverted_index":{"In":[0,66],"recent":[1],"years,":[2],"there":[3],"has":[4,36],"been":[5],"tremendous":[6],"progress":[7],"in":[8,53,164],"the":[9,43,76,97,116,125,132,135,140,145,149,152,155,160,218,238,244],"field":[10],"of":[11,40,46,78,90,118,127,134,280],"semantic":[12],"image":[13],"segmentation.":[14],"However,":[15],"one":[16,34],"remaining":[17],"challenging":[18,277],"problem":[19],"is":[20,50,157,203],"that":[21,204,230],"segmentation":[22,108],"models":[23],"do":[24,187,207],"not":[25,80,188,208],"generalize":[26],"to":[27,37,82,87,110,123,254,260],"unseen":[28],"domains.":[29,92,282],"To":[30,105,143,236],"overcome":[31],"this":[32,67,202],"problem,":[33],"either":[35],"label":[38],"lots":[39],"data":[41,193],"covering":[42],"whole":[44],"variety":[45],"possible":[47],"domains,":[48],"which":[49,251],"often":[51],"infeasible":[52],"practice,":[54],"or":[55,179,212],"apply":[56],"unsupervised":[57],"domain":[58],"adaptation":[59],"(UDA),":[60],"only":[61,81],"requiring":[62],"labeled":[63,128],"source":[64,129,141,150,162],"data.":[65],"work,":[68],"we":[69,114,223,247,252],"focus":[70,209],"on":[71,159,174,210,269],"UDA":[72],"and":[73,151,186,227,273,288],"additionally":[74],"address":[75],"case":[77],"adapting":[79],"a":[83,88,107,111,165,225,270,276],"single":[84],"domain,":[85,113,137,154],"but":[86,215],"sequence":[89,272,278],"target":[91,112,136,153,240],"This":[93],"requires":[94],"mechanisms":[95],"preventing":[96],"model":[98,109,156],"from":[99],"forgetting":[100],"its":[101],"previously":[102],"learned":[103],"knowledge.":[104],"adapt":[106],"follow":[115],"idea":[117],"utilizing":[119],"light-weight":[120,169,228],"style":[121,126,133,170],"transfer":[122,171,245],"convert":[124],"images":[130,163],"into":[131],"while":[138],"retaining":[139],"content.":[142],"mitigate":[144],"distributional":[146],"shift":[147],"between":[148],"fine-tuned":[158],"transferred":[161],"second":[166],"step.":[167],"Existing":[168],"approaches":[172],"relying":[173],"adaptive":[175],"instance":[176],"normalization":[177],"(AdaIN)":[178],"Fourier":[180],"transformation":[181],"(FDA)":[182],"still":[183],"lack":[184],"performance":[185],"substantially":[189],"improve":[190],"upon":[191],"common":[192],"augmentation,":[194],"such":[195],"as":[196],"color":[197],"jittering.":[198],"The":[199],"reason":[200],"for":[201,243],"these":[205],"methods":[206,286],"region-":[211],"class-specific":[213,239],"differences,":[214],"mainly":[216],"capture":[217],"most":[219],"salient":[220],"style.":[221],"Therefore,":[222],"propose":[224,275],"simple":[226],"framework":[229],"incorporates":[231],"two":[232],"class-conditional":[233],"AdaIN":[234],"layers.":[235],"extract":[237],"moments":[241],"needed":[242],"layers,":[246],"use":[248],"unfiltered":[249],"pseudo-labels,":[250],"show":[253],"be":[255],"an":[256],"effective":[257],"approximation":[258],"compared":[259],"real":[261,281],"labels.":[262],"We":[263],"extensively":[264],"validate":[265],"our":[266],"approach":[267],"(CACE)":[268],"synthetic":[271],"further":[274],"consisting":[279],"CACE":[283],"outperforms":[284],"existing":[285],"visually":[287],"quantitatively.":[289]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}