{"id":"https://openalex.org/W4392796577","doi":"https://doi.org/10.1109/tcsvt.2024.3375306","title":"Domain-Invariant Prototypes for Semantic Segmentation","display_name":"Domain-Invariant Prototypes for Semantic Segmentation","publication_year":2024,"publication_date":"2024-03-14","ids":{"openalex":"https://openalex.org/W4392796577","doi":"https://doi.org/10.1109/tcsvt.2024.3375306"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2024.3375306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3375306","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-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/A5050623306","display_name":"Zhengeng Yang","orcid":"https://orcid.org/0000-0001-6880-4441"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhengeng Yang","raw_affiliation_strings":["College of Engineering and Design, Hunan Normal University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering and Design, Hunan Normal University, Changsha, China","institution_ids":["https://openalex.org/I173759888"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100383577","display_name":"Hongshan Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongshan Yu","raw_affiliation_strings":["National Engineering Laboratory for Robot Visual Perception and Control Technology, College of Electrical and Information Engineering, Hunan University, Yuelu, Changsha, China","College of Electrical and Information Engineering, National Engineering Laboratory for Robot Visual Perception and Control Technology, Hunan University, Lushan South Rd., Yuelu Dist, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Robot Visual Perception and Control Technology, College of Electrical and Information Engineering, Hunan University, Yuelu, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"College of Electrical and Information Engineering, National Engineering Laboratory for Robot Visual Perception and Control Technology, Hunan University, Lushan South Rd., Yuelu Dist, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100637917","display_name":"Wei Sun","orcid":"https://orcid.org/0000-0002-8644-2998"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Sun","raw_affiliation_strings":["National Engineering Laboratory for Robot Visual Perception and Control Technology, College of Electrical and Information Engineering, Hunan University, Yuelu, Changsha, China","College of Electrical and Information Engineering, National Engineering Laboratory for Robot Visual Perception and Control Technology, Hunan University, Lushan South Rd., Yuelu Dist, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Robot Visual Perception and Control Technology, College of Electrical and Information Engineering, Hunan University, Yuelu, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"College of Electrical and Information Engineering, National Engineering Laboratory for Robot Visual Perception and Control Technology, Hunan University, Lushan South Rd., Yuelu Dist, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100753413","display_name":"Li Cheng","orcid":"https://orcid.org/0000-0003-3261-3533"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Li Cheng","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089986388","display_name":"Ajmal Mian","orcid":"https://orcid.org/0000-0002-5206-3842"},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ajmal Mian","raw_affiliation_strings":["Department of Computer Science, The University of Western Australia, Perth, WA, Australia"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Western Australia, Perth, WA, Australia","institution_ids":["https://openalex.org/I177877127"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5050623306"],"corresponding_institution_ids":["https://openalex.org/I173759888"],"apc_list":null,"apc_paid":null,"fwci":1.8182,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.86404415,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"34","issue":"8","first_page":"7614","last_page":"7627"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9975000023841858,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9886999726295471,"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":0.8257113695144653},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7435840964317322},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6882153153419495},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5769803524017334},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4771691858768463},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46403881907463074},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4393937885761261},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4351407289505005},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.2919429540634155},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28808891773223877}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8257113695144653},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7435840964317322},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6882153153419495},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5769803524017334},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4771691858768463},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46403881907463074},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4393937885761261},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4351407289505005},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.2919429540634155},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28808891773223877},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcsvt.2024.3375306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3375306","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/841c04a0-1825-40a7-b15f-2ff059eab0cd","is_oa":false,"landing_page_url":"https://research-repository.uwa.edu.au/en/publications/841c04a0-1825-40a7-b15f-2ff059eab0cd","pdf_url":null,"source":{"id":"https://openalex.org/S4306402523","display_name":"UWA Profiles and Research Repository (University of Western Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177877127","host_organization_name":"The University of Western Australia","host_organization_lineage":["https://openalex.org/I177877127"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Yang, Z, Yu, H, Sun, W, Cheng, L & Mian, A 2024, 'Domain-invariant Prototypes for Semantic Segmentation', IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 8, pp. 7614-7627. https://doi.org/10.1109/TCSVT.2024.3375306","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.4000000059604645,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G3206439402","display_name":null,"funder_award_id":"FT210100268","funder_id":"https://openalex.org/F4320315885","funder_display_name":"Australian Government"},{"id":"https://openalex.org/G3390150364","display_name":null,"funder_award_id":"U2013203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3513334375","display_name":null,"funder_award_id":"62103137","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4128808019","display_name":null,"funder_award_id":"62373140","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8352821351","display_name":null,"funder_award_id":"2023YFB4704503","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320315885","display_name":"Australian Government","ror":"https://ror.org/0314h5y94"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2412782625","https://openalex.org/W2431874326","https://openalex.org/W2487365028","https://openalex.org/W2560023338","https://openalex.org/W2883090707","https://openalex.org/W2895281799","https://openalex.org/W2900234507","https://openalex.org/W2962793481","https://openalex.org/W2963073217","https://openalex.org/W2963078159","https://openalex.org/W2963107255","https://openalex.org/W2963865469","https://openalex.org/W2972285644","https://openalex.org/W2978573218","https://openalex.org/W2981392058","https://openalex.org/W2981512393","https://openalex.org/W2981624307","https://openalex.org/W2985406498","https://openalex.org/W2990230185","https://openalex.org/W2994528761","https://openalex.org/W2996314255","https://openalex.org/W3011075597","https://openalex.org/W3022184340","https://openalex.org/W3034272105","https://openalex.org/W3034631418","https://openalex.org/W3034985049","https://openalex.org/W3035294798","https://openalex.org/W3035564946","https://openalex.org/W3047258141","https://openalex.org/W3107909383","https://openalex.org/W3108560336","https://openalex.org/W3118284102","https://openalex.org/W3119635706","https://openalex.org/W3120800376","https://openalex.org/W3134134173","https://openalex.org/W3149860822","https://openalex.org/W3167559252","https://openalex.org/W3169545167","https://openalex.org/W3175294391","https://openalex.org/W3175308890","https://openalex.org/W3176065502","https://openalex.org/W3204469733","https://openalex.org/W4212987071","https://openalex.org/W4220906434","https://openalex.org/W4280557312","https://openalex.org/W4294770622","https://openalex.org/W4298105556","https://openalex.org/W4308738513","https://openalex.org/W4312248562","https://openalex.org/W4313291192","https://openalex.org/W4317672152","https://openalex.org/W4319778886","https://openalex.org/W4321608048","https://openalex.org/W4323338514","https://openalex.org/W4386075777","https://openalex.org/W4386076341","https://openalex.org/W4390874575","https://openalex.org/W4394758452","https://openalex.org/W6637373629","https://openalex.org/W6745620410","https://openalex.org/W6754568377","https://openalex.org/W6756787073","https://openalex.org/W6766978945","https://openalex.org/W6782784155","https://openalex.org/W6791353385","https://openalex.org/W6850078109","https://openalex.org/W6851543690"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W4321649381","https://openalex.org/W2997645659","https://openalex.org/W3180787869","https://openalex.org/W3203792196","https://openalex.org/W2955455867","https://openalex.org/W4295929828","https://openalex.org/W3156096827"],"abstract_inverted_index":{"Deep":[0],"learning":[1,103],"has":[2],"greatly":[3],"advanced":[4],"the":[5,15,142,204,207],"performance":[6],"of":[7,17,20,59,112,121,154,187,206],"semantic":[8,34,40,88],"segmentation,":[9],"however,":[10],"its":[11],"success":[12],"relies":[13],"on":[14,38,66,174,197],"availability":[16],"large":[18,119],"amounts":[19,120],"annotated":[21,148],"data":[22,114],"for":[23,85,130],"training.":[24],"Hence,":[25],"many":[26],"efforts":[27],"have":[28],"been":[29],"devoted":[30],"to":[31,47,71,74,108,140,151,171,185],"domain":[32,46,86,95,131,189,212],"adaptive":[33,87],"segmentation":[35],"that":[36,81,94,105],"focuses":[37],"transferring":[39],"knowledge":[41,116],"from":[42,118,146],"a":[43,98,127],"labeled":[44],"source":[45,156,216],"an":[48,78],"unlabeled":[49],"target":[50,149,159,177],"domain.":[51],"Existing":[52],"self-training":[53],"methods":[54],"typically":[55],"require":[56],"multiple":[57],"rounds":[58],"training,":[60],"while":[61,210],"another":[62],"popular":[63],"framework":[64,80,129],"based":[65],"adversarial":[67],"training":[68,166],"is":[69,139,222],"known":[70],"be":[72,172,183],"sensitive":[73],"hyper-parameters.":[75],"We":[76],"propose":[77,126],"easy-to-train":[79],"learns":[82],"domain-invariant":[83],"prototypes":[84,144],"segmentation.":[89],"In":[90],"particular,":[91],"we":[92,125],"show":[93,203],"adaptation":[96,132,190,201,213],"shares":[97],"common":[99],"character":[100],"with":[101,115],"few-shot":[102,134,147,192],"in":[104,219],"both":[106,155,188],"aim":[107],"recognize":[109],"some":[110],"types":[111],"unseen":[113],"learned":[117],"seen":[122],"data.":[123],"Thus,":[124],"unified":[128],"and":[133,158,167,191,199],"learning.":[135,193],"The":[136,215],"core":[137],"idea":[138],"use":[141],"class":[143],"extracted":[145],"images":[150,157],"classify":[152],"pixels":[153],"images.":[160,178],"Our":[161],"method":[162,181],"involves":[163],"only":[164],"one-stage":[165],"does":[168],"not":[169],"need":[170],"trained":[173],"large-scale":[175],"un-annotated":[176],"Moreover,":[179],"our":[180],"can":[182],"extended":[184],"variants":[186],"Competitive":[194],"performances":[195],"achieved":[196],"GTA5-to-Cityscapes":[198],"SYNTHIA-to-Cityscapes":[200],"tasks":[202],"effectiveness":[205],"proposed":[208],"novel":[209],"simple":[211],"framework.":[214],"code":[217],"used":[218],"this":[220],"paper":[221],"available":[223],"at":[224],"https://github.com/zgyang-hnu/DIP-hunnu.":[225]},"counts_by_year":[{"year":2025,"cited_by_count":5}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
