{"id":"https://openalex.org/W4403791817","doi":"https://doi.org/10.1145/3664647.3681494","title":"MultiDAN: Unsupervised, Multistage, Multisource and Multitarget Domain Adaptation for Semantic Segmentation of Remote Sensing Images","display_name":"MultiDAN: Unsupervised, Multistage, Multisource and Multitarget Domain Adaptation for Semantic Segmentation of Remote Sensing Images","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403791817","doi":"https://doi.org/10.1145/3664647.3681494"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3681494","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","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/A5040589965","display_name":"Yuxiang Cai","orcid":"https://orcid.org/0000-0003-2784-6607"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuxiang Cai","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010234425","display_name":"Yongheng Shang","orcid":"https://orcid.org/0000-0001-8550-6710"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongheng Shang","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069353502","display_name":"Jianwei Yin","orcid":"https://orcid.org/0000-0003-4703-7348"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Yin","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040589965"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.3626,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.68152501,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1168","last_page":"1177"},"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":0.9993000030517578,"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":0.9993000030517578,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9919999837875366,"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/domain-adaptation","display_name":"Domain adaptation","score":0.8351576328277588},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.804438591003418},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6352518200874329},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6125496029853821},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5965802669525146},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5595488548278809},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.49295783042907715},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48941507935523987},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36123645305633545},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.33476507663726807},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14778801798820496},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09283062815666199}],"concepts":[{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.8351576328277588},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.804438591003418},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6352518200874329},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6125496029853821},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5965802669525146},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5595488548278809},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.49295783042907715},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48941507935523987},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36123645305633545},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.33476507663726807},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14778801798820496},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09283062815666199},{"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/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"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":1,"locations":[{"id":"doi:10.1145/3664647.3681494","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W2412782625","https://openalex.org/W2737129951","https://openalex.org/W2788768841","https://openalex.org/W2914393402","https://openalex.org/W2962793481","https://openalex.org/W2963073217","https://openalex.org/W2963107255","https://openalex.org/W2963481481","https://openalex.org/W2963506806","https://openalex.org/W2963691377","https://openalex.org/W2963958441","https://openalex.org/W2964309882","https://openalex.org/W2972285644","https://openalex.org/W2981720610","https://openalex.org/W2989738275","https://openalex.org/W2996590196","https://openalex.org/W2997195386","https://openalex.org/W3003384866","https://openalex.org/W3025070692","https://openalex.org/W3034562924","https://openalex.org/W3040725977","https://openalex.org/W3088032605","https://openalex.org/W3089265466","https://openalex.org/W3092500685","https://openalex.org/W3100126235","https://openalex.org/W3110094058","https://openalex.org/W3112846941","https://openalex.org/W3118945974","https://openalex.org/W3131027428","https://openalex.org/W3160470303","https://openalex.org/W3172292202","https://openalex.org/W3174862668","https://openalex.org/W3175308890","https://openalex.org/W3182200686","https://openalex.org/W3182963544","https://openalex.org/W3183605589","https://openalex.org/W3195722174","https://openalex.org/W3195858154","https://openalex.org/W3196157508","https://openalex.org/W4206533855","https://openalex.org/W4210860478","https://openalex.org/W4213440574","https://openalex.org/W4226396592","https://openalex.org/W4234552385","https://openalex.org/W4281609379","https://openalex.org/W4285188159","https://openalex.org/W4293812316","https://openalex.org/W4312256840","https://openalex.org/W4312263644","https://openalex.org/W4312760106","https://openalex.org/W4315489520","https://openalex.org/W4387968260"],"related_works":["https://openalex.org/W4394775207","https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W1522196789","https://openalex.org/W4321649381","https://openalex.org/W2997645659","https://openalex.org/W3180787869","https://openalex.org/W3203792196","https://openalex.org/W2955455867","https://openalex.org/W4295929828"],"abstract_inverted_index":{"Unsupervised":[0],"domain":[1,31,39,88,97,105,118],"adaptation":[2,89,98,106,187],"(UDA)":[3],"has":[4],"been":[5],"a":[6,81,147],"crucial":[7],"way":[8],"for":[9,75,161],"cross-domain":[10],"semantic":[11],"segmentation":[12],"of":[13,139,142,202],"remote":[14,196],"sensing":[15,197],"images":[16],"and":[17,44,57,72,86,95,103,123],"reached":[18],"apparent":[19],"advents.":[20],"However,":[21],"most":[22],"existing":[23],"efforts":[24],"focus":[25],"on":[26,137,193],"single":[27,29],"source":[28,43,124],"target":[30,45,55,62,77,122,131,140],"adaptation,":[32],"which":[33,92],"don't":[34],"explicitly":[35],"consider":[36],"the":[37,129,166,180,184,194,200],"serious":[38],"shift":[40,52,59,71,74,119],"between":[41,53,120],"multiple":[42,76,112,121,134],"domains":[46,56,132],"in":[47,179],"real":[48],"applications,":[49],"especially":[50],"inter-domain":[51,70],"various":[54,130],"intra-domain":[58,73],"within":[60],"each":[61],"domain.":[63],"In":[64],"this":[65],"paper,":[66],"to":[67,115,154],"address":[68],"simultaneous":[69],"domains,":[78],"we":[79,145],"propose":[80,146],"novel":[82],"unsupervised,":[83],"multistage,":[84],"multisource":[85,94],"multitarget":[87,96],"network":[90],"(MultiDAN),":[91],"involves":[93],"(MSMTDA),":[99],"entropy-based":[100],"clustering":[101],"(EC)":[102],"multistage":[104,186],"(MDA).":[107],"Specifically,":[108],"MSMTDA":[109],"learns":[110],"feature-level":[111],"adversarial":[113],"strategies":[114],"alleviate":[116],"complex":[117],"domains.":[125],"Then,":[126],"EC":[127],"clusters":[128],"into":[133],"subdomains":[135,178],"based":[136],"entropy":[138],"predictions":[141],"MSMTDA.":[143],"Besides,":[144],"new":[148],"pseudo":[149,159,170],"label":[150],"update":[151],"strategy":[152],"(PLUS)":[153],"dynamically":[155],"produce":[156],"more":[157],"accurate":[158],"labels":[160,171],"MDA.":[162],"Finally,":[163],"MDA":[164],"aligns":[165],"clean":[167],"subdomains,":[168],"including":[169],"generated":[172],"by":[173],"PLUS,":[174],"with":[175],"other":[176],"noisy":[177],"output":[181],"space":[182],"via":[183],"proposed":[185],"algorithm":[188],"(MAA).":[189],"The":[190],"extensive":[191],"experiments":[192],"benchmark":[195],"datasets":[198],"highlight":[199],"superiority":[201],"our":[203],"MultiDAN":[204],"against":[205],"recent":[206],"state-of-the-art":[207],"UDA":[208],"methods.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
