{"id":"https://openalex.org/W4408915158","doi":"https://doi.org/10.1109/tnnls.2025.3544204","title":"Boundary-Based Active Domain Adaptation for Semantic Segmentation Under Adverse Conditions","display_name":"Boundary-Based Active Domain Adaptation for Semantic Segmentation Under Adverse Conditions","publication_year":2025,"publication_date":"2025-03-28","ids":{"openalex":"https://openalex.org/W4408915158","doi":"https://doi.org/10.1109/tnnls.2025.3544204","pmid":"https://pubmed.ncbi.nlm.nih.gov/40146652"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2025.3544204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3544204","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Xianzhe Xu","orcid":"https://orcid.org/0009-0003-3025-9558"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xianzhe Xu","raw_affiliation_strings":["Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0003-3025-9558","affiliations":[{"raw_affiliation_string":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010638666","display_name":"Gary G. Yen","orcid":"https://orcid.org/0000-0001-8851-5348"},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gary G. Yen","raw_affiliation_strings":["School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK, USA"],"raw_orcid":"https://orcid.org/0000-0001-8851-5348","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK, USA","institution_ids":["https://openalex.org/I115475287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002199949","display_name":"Chaoqiang Zhao","orcid":"https://orcid.org/0000-0002-3651-2177"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]},{"id":"https://openalex.org/I4210120442","display_name":"AVIC Optronics (China)","ror":"https://ror.org/0338ntq56","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210120442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoqiang Zhao","raw_affiliation_strings":["Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China","Luoyang Institute of Electro Optical Equipment of Avic, Luoyang, China"],"raw_orcid":"https://orcid.org/0000-0002-3651-2177","affiliations":[{"raw_affiliation_string":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]},{"raw_affiliation_string":"Luoyang Institute of Electro Optical Equipment of Avic, Luoyang, China","institution_ids":["https://openalex.org/I4210120442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064255140","display_name":"Qiyu Sun","orcid":"https://orcid.org/0000-0002-1401-8768"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiyu Sun","raw_affiliation_strings":["Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-1401-8768","affiliations":[{"raw_affiliation_string":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013976393","display_name":"Wenqi Ren","orcid":"https://orcid.org/0000-0001-5501-2867"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqi Ren","raw_affiliation_strings":["Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5501-2867","affiliations":[{"raw_affiliation_string":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035443556","display_name":"Lu Sheng","orcid":"https://orcid.org/0000-0002-8525-9163"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Sheng","raw_affiliation_strings":["School of Software, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8525-9163","affiliations":[{"raw_affiliation_string":"School of Software, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028570509","display_name":"Yang Tang","orcid":"https://orcid.org/0000-0002-2750-8029"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Tang","raw_affiliation_strings":["Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-2750-8029","affiliations":[{"raw_affiliation_string":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I143593769"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08762741,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":"8","first_page":"14721","last_page":"14734"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9861999750137329,"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"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9861999750137329,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9764000177383423,"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/domain-adaptation","display_name":"Domain adaptation","score":0.6612449288368225},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6505088806152344},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6478615403175354},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.6096880435943604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.519145667552948},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5016307830810547},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4133800268173218},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.3365241587162018},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.264819860458374},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19259047508239746},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.0820658802986145},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.0746050477027893}],"concepts":[{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6612449288368225},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6505088806152344},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6478615403175354},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.6096880435943604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.519145667552948},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5016307830810547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4133800268173218},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3365241587162018},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.264819860458374},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19259047508239746},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0820658802986145},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0746050477027893},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2025.3544204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3544204","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:40146652","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40146652","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 neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3397010727","display_name":null,"funder_award_id":"B17017","funder_id":"https://openalex.org/F4320335785","funder_display_name":"Project 211"},{"id":"https://openalex.org/G5884386629","display_name":null,"funder_award_id":"U2441245","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7545332879","display_name":null,"funder_award_id":"62233005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7920230423","display_name":null,"funder_award_id":"2021D002-0902","funder_id":"https://openalex.org/F4320334111","funder_display_name":"Innovation Fund"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334111","display_name":"Innovation Fund","ror":null},{"id":"https://openalex.org/F4320335785","display_name":"Project 211","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W2011674654","https://openalex.org/W2340897893","https://openalex.org/W2343213531","https://openalex.org/W2431874326","https://openalex.org/W2487365028","https://openalex.org/W2560023338","https://openalex.org/W2562137921","https://openalex.org/W2787091153","https://openalex.org/W2799213142","https://openalex.org/W2952735550","https://openalex.org/W2963073217","https://openalex.org/W2963107255","https://openalex.org/W2963943912","https://openalex.org/W2970048031","https://openalex.org/W2972285644","https://openalex.org/W3000172657","https://openalex.org/W3010360081","https://openalex.org/W3035294798","https://openalex.org/W3080353943","https://openalex.org/W3109470472","https://openalex.org/W3114677757","https://openalex.org/W3120804725","https://openalex.org/W3160809918","https://openalex.org/W3168084736","https://openalex.org/W3176820334","https://openalex.org/W3195858154","https://openalex.org/W3197793245","https://openalex.org/W3201926993","https://openalex.org/W3202165894","https://openalex.org/W3203473630","https://openalex.org/W3203485385","https://openalex.org/W3203978358","https://openalex.org/W3207649350","https://openalex.org/W3210218433","https://openalex.org/W3214333957","https://openalex.org/W4200080743","https://openalex.org/W4210476769","https://openalex.org/W4225108568","https://openalex.org/W4225363039","https://openalex.org/W4312507102","https://openalex.org/W4312527924","https://openalex.org/W4312768455","https://openalex.org/W4372215788","https://openalex.org/W4383890300","https://openalex.org/W4388145704","https://openalex.org/W4390874217","https://openalex.org/W4392152074","https://openalex.org/W4393156115","https://openalex.org/W4396982234","https://openalex.org/W4403780629","https://openalex.org/W6668990524","https://openalex.org/W6747231328","https://openalex.org/W6748816842","https://openalex.org/W6763607942","https://openalex.org/W6764588566","https://openalex.org/W6797399245","https://openalex.org/W6804560459","https://openalex.org/W6810431577","https://openalex.org/W6839275319","https://openalex.org/W6874503541","https://openalex.org/W6877296328"],"related_works":["https://openalex.org/W4394775207","https://openalex.org/W4389474468","https://openalex.org/W2953252165","https://openalex.org/W4300172004","https://openalex.org/W2563901864","https://openalex.org/W3168009835","https://openalex.org/W1998589401","https://openalex.org/W2964287305","https://openalex.org/W3203792196","https://openalex.org/W4321649381"],"abstract_inverted_index":{"Existing":[0],"domain":[1,49,162,199],"adaptation":[2,50,200],"semantic":[3],"segmentation":[4,35,71],"(DASS)":[5],"methods":[6,205],"under":[7,73],"adverse":[8],"conditions":[9],"often":[10],"depend":[11],"on":[12],"pseudo-labels":[13,19],"for":[14],"network":[15],"training.":[16],"However,":[17],"these":[18],"are":[20],"frequently":[21],"plagued":[22],"by":[23,43],"noise":[24],"and":[25,60,84,109,147,201,206],"bias":[26],"toward":[27],"high-confidence":[28,179],"predictions,":[29],"thereby":[30],"impeding":[31],"the":[32,40,70,79,106,111,121,128,143,151,160,196],"enhancement":[33],"of":[34,81,131,154,210],"performance.":[36],"This":[37],"article":[38],"tackles":[39],"above":[41],"challenge":[42],"proposing":[44],"a":[45,74,101],"novel":[46],"boundary-based":[47],"active":[48,132,202],"(ADA)":[51],"framework,":[52],"which":[53,124,166],"efficiently":[54],"selects":[55],"both":[56],"informative":[57],"low-confidence":[58,118],"samples":[59,64,112,119,168],"high-confident":[61],"but":[62,180],"misclassified":[63],"to":[65,96,141,177,195],"be":[66,178,216],"labeled":[67],"while":[68],"maximizing":[69],"performance":[72],"limited":[75],"annotation":[76],"budget.":[77],"For":[78],"evaluation":[80],"sample":[82,185],"confidence":[83],"informativeness,":[85],"we":[86,135,158],"first":[87],"propose":[88],"ranking":[89],"weighted":[90],"feature":[91,107],"space":[92,108],"impurity":[93],"(RWFSI)":[94],"metric":[95],"quantify":[97],"category":[98,129],"distribution":[99,144],"among":[100],"sample's":[102],"nearest":[103],"neighbors":[104],"within":[105],"consider":[110],"with":[113,169,208],"higher":[114],"RWFSI":[115],"values":[116,172],"as":[117,173],"around":[120],"decision":[122],"boundary,":[123],"can":[125],"also":[126],"alleviate":[127],"imbalance":[130],"labels.":[133],"Subsequently,":[134],"apply":[136],"Gaussian":[137],"mixture":[138],"models":[139],"(GMMs)":[140],"model":[142],"across":[145],"source":[146],"target":[148],"domains.":[149],"Using":[150],"spatial":[152],"arrangement":[153],"each":[155],"GMM":[156],"component,":[157],"define":[159],"intraclass":[161],"shift":[163],"score":[164],"(ICDSS),":[165],"identifies":[167],"high":[170],"ICDSS":[171],"those":[174,209],"more":[175],"likely":[176],"misclassified,":[181],"aiding":[182],"in":[183],"refining":[184],"selection.":[186],"Extensive":[187],"experiments":[188],"demonstrate":[189],"that":[190],"our":[191],"method":[192],"is":[193],"superior":[194],"existing":[197],"state-of-the-art":[198],"learning":[203],"(AL)":[204],"comparable":[207],"full":[211],"supervision.":[212],"The":[213],"code":[214],"will":[215],"released":[217],"at":[218],"https://github.com/1061018609/BADA.":[219]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}