{"id":"https://openalex.org/W4396712513","doi":"https://doi.org/10.1109/tpami.2024.3397461","title":"Learning With Style: Continual Semantic Segmentation Across Tasks and Domains","display_name":"Learning With Style: Continual Semantic Segmentation Across Tasks and Domains","publication_year":2024,"publication_date":"2024-05-07","ids":{"openalex":"https://openalex.org/W4396712513","doi":"https://doi.org/10.1109/tpami.2024.3397461","pmid":"https://pubmed.ncbi.nlm.nih.gov/38713563"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2024.3397461","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3397461","pdf_url":"https://ieeexplore.ieee.org/ielx7/34/4359286/10521870.pdf","source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/34/4359286/10521870.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062423076","display_name":"Marco Toldo","orcid":"https://orcid.org/0000-0003-0954-1201"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Marco Toldo","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Padova, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075734012","display_name":"Umberto Michieli","orcid":"https://orcid.org/0000-0003-2666-4342"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Umberto Michieli","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Padova, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070777118","display_name":"Pietro Zanuttigh","orcid":"https://orcid.org/0000-0002-9502-2389"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Pietro Zanuttigh","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Padova, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062423076"],"corresponding_institution_ids":["https://openalex.org/I138689650"],"apc_list":null,"apc_paid":null,"fwci":3.4067,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.93051714,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"46","issue":"11","first_page":"7434","last_page":"7450"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.644599974155426,"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/T10028","display_name":"Topic Modeling","score":0.644599974155426,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.6057999730110168,"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":0.7011024951934814},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6868288516998291},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6180307865142822},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.5630145072937012},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5365121364593506},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4130699336528778},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33103376626968384},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08466169238090515}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7011024951934814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6868288516998291},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6180307865142822},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.5630145072937012},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5365121364593506},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4130699336528778},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33103376626968384},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08466169238090515},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2024.3397461","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3397461","pdf_url":"https://ieeexplore.ieee.org/ielx7/34/4359286/10521870.pdf","source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:38713563","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38713563","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":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:www.research.unipd.it:11577/3513552","is_oa":true,"landing_page_url":"https://hdl.handle.net/11577/3513552","pdf_url":"https://www.research.unipd.it/bitstream/11577/3513552/3/Learning_With_Style_Continual_Semantic_Segmentation_Across_Tasks_and_Domains.pdf","source":{"id":"https://openalex.org/S4377196283","display_name":"Research Padua  Archive (University of Padua)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"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":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1109/tpami.2024.3397461","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3397461","pdf_url":"https://ieeexplore.ieee.org/ielx7/34/4359286/10521870.pdf","source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5329322851","display_name":null,"funder_award_id":"232/2016","funder_id":"https://openalex.org/F4320317295","funder_display_name":"Dipartimenti di Eccellenza"},{"id":"https://openalex.org/G5417130124","display_name":null,"funder_award_id":"232/2016","funder_id":"https://openalex.org/F4320321873","funder_display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca"},{"id":"https://openalex.org/G8091430692","display_name":null,"funder_award_id":"(MIUR)","funder_id":"https://openalex.org/F4320321873","funder_display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca"}],"funders":[{"id":"https://openalex.org/F4320317295","display_name":"Dipartimenti di Eccellenza","ror":null},{"id":"https://openalex.org/F4320321873","display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca","ror":"https://ror.org/0166hxq48"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4396712513.pdf","grobid_xml":"https://content.openalex.org/works/W4396712513.grobid-xml"},"referenced_works_count":82,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W1903029394","https://openalex.org/W2108598243","https://openalex.org/W2131953535","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2412782625","https://openalex.org/W2473930607","https://openalex.org/W2560023338","https://openalex.org/W2560647685","https://openalex.org/W2630837129","https://openalex.org/W2762439315","https://openalex.org/W2781228439","https://openalex.org/W2897093520","https://openalex.org/W2901870313","https://openalex.org/W2948734064","https://openalex.org/W2962687275","https://openalex.org/W2962966271","https://openalex.org/W2963073217","https://openalex.org/W2963163009","https://openalex.org/W2964189064","https://openalex.org/W2997225633","https://openalex.org/W3011986058","https://openalex.org/W3026575546","https://openalex.org/W3030364939","https://openalex.org/W3034435444","https://openalex.org/W3034478348","https://openalex.org/W3035294798","https://openalex.org/W3035564946","https://openalex.org/W3090558831","https://openalex.org/W3107810305","https://openalex.org/W3114790621","https://openalex.org/W3121873598","https://openalex.org/W3132455321","https://openalex.org/W3158065459","https://openalex.org/W3166525903","https://openalex.org/W3171888599","https://openalex.org/W3172292202","https://openalex.org/W3173329083","https://openalex.org/W3175294391","https://openalex.org/W3176709420","https://openalex.org/W3177192381","https://openalex.org/W3178686235","https://openalex.org/W3180392831","https://openalex.org/W3182200686","https://openalex.org/W3187986157","https://openalex.org/W3202407433","https://openalex.org/W3203706456","https://openalex.org/W3208194557","https://openalex.org/W3208750293","https://openalex.org/W3217147624","https://openalex.org/W4205206141","https://openalex.org/W4206706211","https://openalex.org/W4214671648","https://openalex.org/W4214697508","https://openalex.org/W4220846750","https://openalex.org/W4221161784","https://openalex.org/W4224329991","https://openalex.org/W4225484930","https://openalex.org/W4225922183","https://openalex.org/W4283066310","https://openalex.org/W4297775537","https://openalex.org/W4312250316","https://openalex.org/W4312308876","https://openalex.org/W4312338371","https://openalex.org/W4312401347","https://openalex.org/W4312447529","https://openalex.org/W4312516051","https://openalex.org/W4312603992","https://openalex.org/W4312640688","https://openalex.org/W4312708082","https://openalex.org/W4312897837","https://openalex.org/W4312952199","https://openalex.org/W4313137235","https://openalex.org/W4361029874","https://openalex.org/W6631190155","https://openalex.org/W6638523607","https://openalex.org/W6696085341","https://openalex.org/W6737664043","https://openalex.org/W6739696289","https://openalex.org/W6751733626","https://openalex.org/W6755271026"],"related_works":["https://openalex.org/W2356229341","https://openalex.org/W2349768204","https://openalex.org/W4313326281","https://openalex.org/W574867512","https://openalex.org/W2387271333","https://openalex.org/W581389233","https://openalex.org/W2361120309","https://openalex.org/W632157940","https://openalex.org/W2387981414","https://openalex.org/W2361546210"],"abstract_inverted_index":{"Deep":[0],"learning":[1,29,72,95],"models":[2],"dealing":[3],"with":[4,31,117,162],"image":[5],"understanding":[6],"in":[7],"real-world":[8],"settings":[9],"must":[10],"be":[11,134,158],"able":[12,120],"to":[13,15,89,103,121,133,157,160],"adapt":[14],"a":[16,99],"wide":[17],"variety":[18],"of":[19,50],"tasks":[20,97],"across":[21,92,127],"different":[22],"domains.":[23],"Domain":[24],"adaptation":[25],"and":[26,33,63,75,98,169],"class":[27],"incremental":[28,96,109],"deal":[30,161],"domain":[32,76,110,170],"task":[34,74,106,125,168],"variability":[35],"separately,":[36],"whereas":[37],"their":[38],"unified":[39],"solution":[40],"is":[41,119],"still":[42],"an":[43],"open":[44],"problem.":[45],"We":[46,66],"tackle":[47],"both":[48,61,167],"facets":[49],"the":[51,57,81,129,149],"problem":[52],"together,":[53],"taking":[54],"into":[55],"account":[56],"semantic":[58,164],"shift":[59],"within":[60],"input":[62],"label":[64],"spaces.":[65],"start":[67],"by":[68,84],"formally":[69],"introducing":[70],"continual":[71,163],"under":[73,108,166],"shift.":[77,111,171],"Then,":[78],"we":[79],"address":[80],"proposed":[82,150],"setup":[83],"using":[85],"style":[86],"transfer":[87],"techniques":[88],"extend":[90],"knowledge":[91,107,126],"domains":[93,130],"when":[94],"robust":[100,135],"distillation":[101],"framework":[102,114],"effectively":[104],"recollect":[105],"The":[112],"devised":[113],"(LwS,":[115],"Learning":[116],"Style)":[118],"generalize":[122],"incrementally":[123],"acquired":[124],"all":[128],"encountered,":[131],"proving":[132],"against":[136],"catastrophic":[137],"forgetting.":[138],"Extensive":[139],"experimental":[140],"evaluation":[141],"on":[142],"multiple":[143],"autonomous":[144],"driving":[145],"datasets":[146],"shows":[147],"how":[148],"method":[151],"outperforms":[152],"existing":[153],"approaches,":[154],"which":[155],"prove":[156],"ill-equipped":[159],"segmentation":[165]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
