{"id":"https://openalex.org/W4225922183","doi":"https://doi.org/10.1109/tmm.2022.3167555","title":"Continual Attentive Fusion for Incremental Learning in Semantic Segmentation","display_name":"Continual Attentive Fusion for Incremental Learning in Semantic Segmentation","publication_year":2022,"publication_date":"2022-04-14","ids":{"openalex":"https://openalex.org/W4225922183","doi":"https://doi.org/10.1109/tmm.2022.3167555"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2022.3167555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2022.3167555","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2202.00432","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089975889","display_name":"Guanglei Yang","orcid":"https://orcid.org/0000-0002-5324-3642"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN","IT"],"is_corresponding":true,"raw_author_name":"Guanglei Yang","raw_affiliation_strings":["School of Instrument Science and Engineering, Harbin Institute of Technology (HIT), Harbin, China","University of Trento [Trento]"],"affiliations":[{"raw_affiliation_string":"School of Instrument Science and Engineering, Harbin Institute of Technology (HIT), Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"University of Trento [Trento]","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066230537","display_name":"Enrico Fini","orcid":"https://orcid.org/0000-0002-1671-875X"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Enrico Fini","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Povo, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Povo, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100341938","display_name":"Dan Xu","orcid":"https://orcid.org/0000-0003-0136-9603"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Dan Xu","raw_affiliation_strings":["Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046536801","display_name":"Paolo Rota","orcid":"https://orcid.org/0000-0003-0663-5659"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Paolo Rota","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Povo, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Povo, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089374379","display_name":"Mingli Ding","orcid":"https://orcid.org/0000-0002-7510-7043"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingli Ding","raw_affiliation_strings":["School of Instrument Science and Engineering, Harbin Institute of Technology (HIT), Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Instrument Science and Engineering, Harbin Institute of Technology (HIT), Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050748634","display_name":"Hao Tang","orcid":"https://orcid.org/0000-0002-2077-1246"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Hao Tang","raw_affiliation_strings":["Department of Information Technology and Electrical Engineering, ETH Zurich, Z&#x00FC;rich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology and Electrical Engineering, ETH Zurich, Z&#x00FC;rich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066621495","display_name":"Xavier Alameda-Pineda","orcid":"https://orcid.org/0000-0002-5354-1084"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210101348","display_name":"Centre Inria de l'Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/00n8d6z93","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210101348"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Xavier Alameda-Pineda","raw_affiliation_strings":["RobotLearn Group, INRIA, Montbonnot-Saint-Martin, France"],"affiliations":[{"raw_affiliation_string":"RobotLearn Group, INRIA, Montbonnot-Saint-Martin, France","institution_ids":["https://openalex.org/I4210101348","https://openalex.org/I1326498283"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065059558","display_name":"Elisa Ricci","orcid":"https://orcid.org/0000-0002-0228-1147"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]},{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Elisa Ricci","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Povo, Italy","Fondazione Bruno Kessler [Trento, Italy]"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Povo, Italy","institution_ids":["https://openalex.org/I193223587"]},{"raw_affiliation_string":"Fondazione Bruno Kessler [Trento, Italy]","institution_ids":["https://openalex.org/I2277624104"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5089975889"],"corresponding_institution_ids":["https://openalex.org/I193223587","https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":4.4416,"has_fulltext":true,"cited_by_count":34,"citation_normalized_percentile":{"value":0.9503068,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"25","issue":null,"first_page":"3841","last_page":"3854"},"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":0.9976999759674072,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8535715937614441},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.8289611339569092},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.730466365814209},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.6838363409042358},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6495525240898132},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6036014556884766},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5802224278450012},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.44731223583221436},{"id":"https://openalex.org/keywords/semantic-gap","display_name":"Semantic gap","score":0.4416939318180084},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4150266647338867},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1199488639831543}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8535715937614441},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.8289611339569092},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.730466365814209},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.6838363409042358},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6495525240898132},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6036014556884766},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5802224278450012},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.44731223583221436},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.4416939318180084},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4150266647338867},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1199488639831543},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/tmm.2022.3167555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2022.3167555","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2202.00432","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2202.00432","pdf_url":"https://arxiv.org/pdf/2202.00432","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:iris.unitn.it:11572/341664","is_oa":true,"landing_page_url":"http://hdl.handle.net/11572/341664","pdf_url":"https://iris.unitn.it/bitstream/11572/341664/9/Yang_CMA_TMM_AAM.pdf","source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-117610","is_oa":false,"landing_page_url":"https://repository.hkust.edu.hk/ir/Record/1783.1-117610","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:HAL:hal-03626393v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-03626393","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"IEEE Transactions on Multimedia, 2023, 25, pp.3841-3854. &#x27E8;10.1109/TMM.2022.3167555&#x27E9;","raw_type":"Journal articles"},{"id":"pmh:oai:repository.ust.hk:1783.1-117610","is_oa":false,"landing_page_url":"http://repository.ust.hk/ir/Record/1783.1-117610","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2202.00432","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2202.00432","pdf_url":"https://arxiv.org/pdf/2202.00432","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1182250471","display_name":null,"funder_award_id":"GA #871245","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G5495492380","display_name":"Multi-Modal Multi-person Low-Level Learning for Robot Interaction","funder_award_id":"ANR-19-CE33-0008","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G6178185026","display_name":null,"funder_award_id":"ANR-JCJC","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G7556389956","display_name":null,"funder_award_id":"871245","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G8258793481","display_name":null,"funder_award_id":"871245","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8318455765","display_name":null,"funder_award_id":"ANR-19","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320322275","display_name":"Universit\u00e0 degli Studi di Trento","ror":"https://ror.org/05trd4x28"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320325935","display_name":"Fondazione Cassa Di Risparmio Di Trento E Rovereto","ror":"https://ror.org/02pgnjz11"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":77,"referenced_works":["https://openalex.org/W854541894","https://openalex.org/W1514535095","https://openalex.org/W1682403713","https://openalex.org/W1821462560","https://openalex.org/W1903029394","https://openalex.org/W1928906481","https://openalex.org/W2194775991","https://openalex.org/W2473930607","https://openalex.org/W2560023338","https://openalex.org/W2560647685","https://openalex.org/W2563705555","https://openalex.org/W2630837129","https://openalex.org/W2737258237","https://openalex.org/W2752782242","https://openalex.org/W2753619605","https://openalex.org/W2786446225","https://openalex.org/W2791091755","https://openalex.org/W2807445254","https://openalex.org/W2884282566","https://openalex.org/W2891707612","https://openalex.org/W2895340641","https://openalex.org/W2948734064","https://openalex.org/W2949543584","https://openalex.org/W2954929116","https://openalex.org/W2955058313","https://openalex.org/W2962816904","https://openalex.org/W2962891704","https://openalex.org/W2962966271","https://openalex.org/W2963072899","https://openalex.org/W2963073398","https://openalex.org/W2963091558","https://openalex.org/W2963559848","https://openalex.org/W2963588172","https://openalex.org/W2963727650","https://openalex.org/W2963815618","https://openalex.org/W2964014680","https://openalex.org/W2964189064","https://openalex.org/W2964309882","https://openalex.org/W2972313371","https://openalex.org/W2974317861","https://openalex.org/W2974777596","https://openalex.org/W2982410595","https://openalex.org/W3011986058","https://openalex.org/W3023748538","https://openalex.org/W3034435444","https://openalex.org/W3034681889","https://openalex.org/W3042085267","https://openalex.org/W3049372737","https://openalex.org/W3093858432","https://openalex.org/W3094953068","https://openalex.org/W3098511564","https://openalex.org/W3101570898","https://openalex.org/W3101808799","https://openalex.org/W3103092912","https://openalex.org/W3107137534","https://openalex.org/W3109301572","https://openalex.org/W3118366136","https://openalex.org/W3132455321","https://openalex.org/W3157413304","https://openalex.org/W3160431667","https://openalex.org/W3166525903","https://openalex.org/W3171888599","https://openalex.org/W3204340584","https://openalex.org/W3205986049","https://openalex.org/W4200633562","https://openalex.org/W4301163820","https://openalex.org/W6623517193","https://openalex.org/W6630875275","https://openalex.org/W6638523607","https://openalex.org/W6640376812","https://openalex.org/W6738602802","https://openalex.org/W6739696289","https://openalex.org/W6741217325","https://openalex.org/W6744497706","https://openalex.org/W6748481559","https://openalex.org/W6755109808","https://openalex.org/W6781577911"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4319993887","https://openalex.org/W4297789176","https://openalex.org/W4377086356","https://openalex.org/W2768346313","https://openalex.org/W2963249138","https://openalex.org/W2998594699","https://openalex.org/W4396882122","https://openalex.org/W3178016723","https://openalex.org/W2968060152"],"abstract_inverted_index":{"Over":[0],"the":[1,14,59,63,88,128,131,134,141,153,156,164,182],"past":[2,60],"years,":[3],"semantic":[4,68],"segmentation,":[5],"as":[6],"many":[7],"other":[8],"tasks":[9,136],"in":[10,16,96,155],"computer\\nvision,":[11],"benefited":[12],"from":[13,31,130],"progress":[15],"deep":[17,25],"neural":[18],"networks,":[19],"resulting":[20],"in\\nsignificantly":[21],"improved":[22],"performance.":[23],"However,":[24,62],"architectures":[26],"trained":[27],"with\\ngradient-based":[28],"techniques":[29],"suffer":[30],"catastrophic":[32,108],"forgetting,":[33],"which":[34,124],"is":[35],"the\\ntendency":[36],"to":[37,49,106,150],"forget":[38],"previously":[39],"learned":[40],"knowledge":[41],"while":[42,110,137],"learning":[43,65,138],"new":[44,132,179],"tasks.\\nAiming":[45],"at":[46],"devising":[47],"strategies":[48],"counteract":[50],"this":[51,94,97],"effect,":[52],"incremental":[53],"learning\\napproaches":[54],"have":[55],"gained":[56],"popularity":[57],"over":[58],"years.":[61],"first\\nincremental":[64],"methods":[66],"for":[67,79,140,152],"segmentation":[69],"appeared":[70],"only":[71],"recently.\\nWhile":[72],"effective,":[73],"these":[74],"approaches":[75],"do":[76],"not":[77],"account":[78,151],"a":[80,101,147,178],"crucial":[81],"aspect":[82],"in\\npixel-level":[83],"dense":[84],"prediction":[85],"problems,":[86],"i.e.":[87],"role":[89],"of":[90,127,166,181],"attention":[91],"mechanisms.\\nTo":[92],"fill":[93],"gap,":[95],"paper":[98],"we":[99,118,144],"introduce":[100,146],"novel":[102,148],"attentive":[103,121],"feature\\ndistillation":[104],"approach":[105,168],"mitigate":[107],"forgetting":[109],"accounting":[111],"for\\nsemantic":[112],"spatial-":[113],"and":[114,133,175],"channel-level":[115],"dependencies.":[116],"Furthermore,":[117],"propose":[119],"a\\n{continual":[120],"fusion}":[122],"structure,":[123],"takes":[125],"advantage":[126],"attention\\nlearned":[129],"old":[135],"features":[139],"new\\ntask.":[142],"Finally,":[143],"also":[145],"strategy":[149],"background\\nclass":[154],"distillation":[157],"loss,":[158],"thus":[159],"preventing":[160],"biased":[161],"predictions.":[162],"We\\ndemonstrate":[163],"effectiveness":[165],"our":[167],"with":[169],"an":[170],"extensive":[171],"evaluation":[172],"on\\nPascal-VOC":[173],"2012":[174],"ADE20K,":[176],"setting":[177],"state":[180],"art.\\n":[183]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
