{"id":"https://openalex.org/W3194680921","doi":"https://doi.org/10.1109/icip42928.2021.9506281","title":"Meta-Learned Feature Critics for Domain Generalized Semantic Segmentation","display_name":"Meta-Learned Feature Critics for Domain Generalized Semantic Segmentation","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3194680921","doi":"https://doi.org/10.1109/icip42928.2021.9506281","mag":"3194680921"},"language":"en","primary_location":{"id":"doi:10.1109/icip42928.2021.9506281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5081393945","display_name":"Zu-Yun Shiau","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Zu-Yun Shiau","raw_affiliation_strings":["Graduate Institute of Communication Engineering, National Taiwan University,Taiwan","Graduate Institute of Communication Engineering, National Taiwan University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Communication Engineering, National Taiwan University,Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"Graduate Institute of Communication Engineering, National Taiwan University, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090644975","display_name":"Weiwei Lin","orcid":"https://orcid.org/0000-0002-9241-0271"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wei-Wei Lin","raw_affiliation_strings":["National Taiwan University,Department of Electrical Engineering,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University,Department of Electrical Engineering,Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012894733","display_name":"Ci-Siang Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]},{"id":"https://openalex.org/I3020783763","display_name":"Asus (Taiwan)","ror":"https://ror.org/00bxkz165","country_code":"TW","type":"company","lineage":["https://openalex.org/I3020783763"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ci-Siang Lin","raw_affiliation_strings":["Graduate Institute of Communication Engineering, National Taiwan University,Taiwan","ASUS Intelligent Cloud Services, Taiwan","Graduate Institute of Communication Engineering, National Taiwan University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Communication Engineering, National Taiwan University,Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"ASUS Intelligent Cloud Services, Taiwan","institution_ids":["https://openalex.org/I3020783763"]},{"raw_affiliation_string":"Graduate Institute of Communication Engineering, National Taiwan University, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090045508","display_name":"Yu-Chiang Frank Wang","orcid":"https://orcid.org/0000-0002-2333-157X"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]},{"id":"https://openalex.org/I3020783763","display_name":"Asus (Taiwan)","ror":"https://ror.org/00bxkz165","country_code":"TW","type":"company","lineage":["https://openalex.org/I3020783763"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Chiang Frank Wang","raw_affiliation_strings":["Graduate Institute of Communication Engineering, National Taiwan University,Taiwan","ASUS Intelligent Cloud Services, Taiwan","Graduate Institute of Communication Engineering, National Taiwan University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Communication Engineering, National Taiwan University,Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"ASUS Intelligent Cloud Services, Taiwan","institution_ids":["https://openalex.org/I3020783763"]},{"raw_affiliation_string":"Graduate Institute of Communication Engineering, National Taiwan University, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2244","last_page":"2248"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.995199978351593,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9715999960899353,"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/segmentation","display_name":"Segmentation","score":0.7747327089309692},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7699440717697144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7103234529495239},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6722909212112427},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6295967102050781},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5516406893730164},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5280745029449463},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5065957307815552},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.496681272983551},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.49243029952049255},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4618280231952667},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13927298784255981},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.07873356342315674}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7747327089309692},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7699440717697144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7103234529495239},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6722909212112427},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6295967102050781},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5516406893730164},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5280745029449463},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5065957307815552},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.496681272983551},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.49243029952049255},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4618280231952667},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13927298784255981},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.07873356342315674},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip42928.2021.9506281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.49000000953674316}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309618","display_name":"Ministry of Science and Technology","ror":"https://ror.org/02b207r52"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1882958252","https://openalex.org/W1901129140","https://openalex.org/W2108598243","https://openalex.org/W2331128040","https://openalex.org/W2340897893","https://openalex.org/W2431874326","https://openalex.org/W2487365028","https://openalex.org/W2604763608","https://openalex.org/W2798658180","https://openalex.org/W2884366600","https://openalex.org/W2889965839","https://openalex.org/W2932414082","https://openalex.org/W2952056941","https://openalex.org/W2952848538","https://openalex.org/W2963073217","https://openalex.org/W2963120918","https://openalex.org/W2981368934","https://openalex.org/W2981540341","https://openalex.org/W3035236545","https://openalex.org/W6639480849","https://openalex.org/W6639824700","https://openalex.org/W6702130928","https://openalex.org/W6722836162","https://openalex.org/W6736057607","https://openalex.org/W6753385908","https://openalex.org/W6754038005","https://openalex.org/W6758853722"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175","https://openalex.org/W4230315250"],"abstract_inverted_index":{"How":[0],"to":[1,44,46],"handle":[2],"domain":[3,26,68,89,112],"shifts":[4],"when":[5],"recognizing":[6],"or":[7],"segmenting":[8],"visual":[9,86],"data":[10,48],"across":[11],"domains":[12,40],"has":[13],"been":[14],"studied":[15],"by":[16],"learning":[17],"and":[18,41,102,114],"vision":[19],"communities.":[20],"In":[21,71],"this":[22],"paper,":[23],"we":[24,73],"address":[25],"generalized":[27],"semantic":[28,65],"segmentation,":[29],"in":[30,80,117],"which":[31,60],"the":[32,84,100],"segmentation":[33,66],"model":[34],"is":[35,42],"trained":[36],"on":[37,96],"multiple":[38],"source":[39],"expected":[43],"generalize":[45],"unseen":[47],"domains.":[49],"We":[50],"propose":[51],"a":[52,75],"novel":[53],"meta-learning":[54],"scheme":[55],"with":[56,67,88],"feature":[57,77],"disentanglement":[58],"ability,":[59],"derives":[61],"domain-invariant":[62],"features":[63,87],"for":[64],"generalization":[69,90,115],"guarantees.":[70,91],"particular,":[72],"introduce":[74],"class-specific":[76],"critic":[78],"module":[79],"our":[81,93,105],"framework,":[82],"enforcing":[83],"disentangled":[85],"Finally,":[92],"quantitative":[94],"results":[95],"benchmark":[97],"datasets":[98],"confirm":[99],"effectiveness":[101],"robustness":[103],"of":[104],"proposed":[106],"model,":[107],"performing":[108],"favorably":[109],"against":[110],"state-of-the-art":[111],"adaptation":[113],"methods":[116],"segmentation.":[118]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}