{"id":"https://openalex.org/W4393144927","doi":"https://doi.org/10.1109/tai.2024.3379940","title":"Progressively Select and Reject Pseudolabeled Samples for Open-Set Domain Adaptation","display_name":"Progressively Select and Reject Pseudolabeled Samples for Open-Set Domain Adaptation","publication_year":2024,"publication_date":"2024-03-25","ids":{"openalex":"https://openalex.org/W4393144927","doi":"https://doi.org/10.1109/tai.2024.3379940"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2024.3379940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2024.3379940","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://durham-repository.worktribe.com/file/2347522/1/Accepted%20Journal%20Article","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100391080","display_name":"Qian Wang","orcid":"https://orcid.org/0000-0002-5906-1890"},"institutions":[{"id":"https://openalex.org/I190082696","display_name":"Durham University","ror":"https://ror.org/01v29qb04","country_code":"GB","type":"education","lineage":["https://openalex.org/I190082696"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qian Wang","raw_affiliation_strings":["Department of Computer Science, Durham University, Durham, U.K","Department of Computer Science, Durham University, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-5906-1890","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Durham University, Durham, U.K","institution_ids":["https://openalex.org/I190082696"]},{"raw_affiliation_string":"Department of Computer Science, Durham University, United Kingdom","institution_ids":["https://openalex.org/I190082696"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030336313","display_name":"Fanlin Meng","orcid":"https://orcid.org/0000-0002-4866-0011"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Fanlin Meng","raw_affiliation_strings":["Alliance Manchester Business School, The University of Manchester, Manchester, U.K"],"raw_orcid":"https://orcid.org/0000-0002-4866-0011","affiliations":[{"raw_affiliation_string":"Alliance Manchester Business School, The University of Manchester, Manchester, U.K","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045115593","display_name":"Toby P. Breckon","orcid":"https://orcid.org/0000-0003-1666-7590"},"institutions":[{"id":"https://openalex.org/I190082696","display_name":"Durham University","ror":"https://ror.org/01v29qb04","country_code":"GB","type":"education","lineage":["https://openalex.org/I190082696"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Toby P. Breckon","raw_affiliation_strings":["Department of Computer Science and the Department of Engineering, Durham University, Durham, U.K"],"raw_orcid":"https://orcid.org/0000-0003-1666-7590","affiliations":[{"raw_affiliation_string":"Department of Computer Science and the Department of Engineering, Durham University, Durham, U.K","institution_ids":["https://openalex.org/I190082696"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.1165,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.96744017,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"5","issue":"9","first_page":"4403","last_page":"4414"},"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/T12676","display_name":"Machine Learning and ELM","score":0.9865000247955322,"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":0.9851999878883362,"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/adaptation","display_name":"Adaptation (eye)","score":0.651402473449707},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6386480331420898},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.555147647857666},{"id":"https://openalex.org/keywords/open-set","display_name":"Open set","score":0.4430426359176636},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4424675703048706},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.41413554549217224},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33725598454475403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29154449701309204},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.11990410089492798},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.10644179582595825},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.060146868228912354}],"concepts":[{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.651402473449707},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6386480331420898},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.555147647857666},{"id":"https://openalex.org/C42357961","wikidata":"https://www.wikidata.org/wiki/Q213363","display_name":"Open set","level":2,"score":0.4430426359176636},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4424675703048706},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.41413554549217224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33725598454475403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29154449701309204},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.11990410089492798},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.10644179582595825},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.060146868228912354},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tai.2024.3379940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2024.3379940","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:durham-repository.worktribe.com:2347522","is_oa":true,"landing_page_url":"https://durham-repository.worktribe.com/output/2347522","pdf_url":"https://durham-repository.worktribe.com/file/2347522/1/Accepted%20Journal%20Article","source":{"id":"https://openalex.org/S4306400188","display_name":"Durham Research Online (Durham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I190082696","host_organization_name":"Durham University","host_organization_lineage":["https://openalex.org/I190082696"],"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":null,"raw_type":"Journal Article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/93e2ac91-6ef1-447f-8c50-ae3e89b48b30","is_oa":true,"landing_page_url":"https://research.manchester.ac.uk/en/publications/93e2ac91-6ef1-447f-8c50-ae3e89b48b30","pdf_url":"https://pure.manchester.ac.uk/ws/files/299902525/TAI3379940.pdf","source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"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":"Wang, Q, Meng, F & Breckon, T P 2024, 'Progressively Select and Reject Pseudo-labelled Samples for Open-Set Domain Adaptation', IEEE Transactions on Artificial Intelligence, pp. 1-12. https://doi.org/10.1109/TAI.2024.3379940","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:durham-repository.worktribe.com:2347522","is_oa":true,"landing_page_url":"https://durham-repository.worktribe.com/output/2347522","pdf_url":"https://durham-repository.worktribe.com/file/2347522/1/Accepted%20Journal%20Article","source":{"id":"https://openalex.org/S4306400188","display_name":"Durham Research Online (Durham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I190082696","host_organization_name":"Durham University","host_organization_lineage":["https://openalex.org/I190082696"],"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":null,"raw_type":"Journal Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4393144927.pdf","grobid_xml":"https://content.openalex.org/works/W4393144927.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1722318740","https://openalex.org/W2089468765","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2627183927","https://openalex.org/W2779610669","https://openalex.org/W2798593490","https://openalex.org/W2885018852","https://openalex.org/W2948069880","https://openalex.org/W2948429981","https://openalex.org/W2963240485","https://openalex.org/W2964117661","https://openalex.org/W2964934387","https://openalex.org/W2996787432","https://openalex.org/W2997189783","https://openalex.org/W2998115938","https://openalex.org/W3034454087","https://openalex.org/W3035235949","https://openalex.org/W3083641663","https://openalex.org/W3097526063","https://openalex.org/W3102842772","https://openalex.org/W3128619348","https://openalex.org/W3154965722","https://openalex.org/W3169379378","https://openalex.org/W3173352923","https://openalex.org/W3176493691","https://openalex.org/W3177151237","https://openalex.org/W3177192381","https://openalex.org/W3178204920","https://openalex.org/W3184941617","https://openalex.org/W3186862547","https://openalex.org/W3198175382","https://openalex.org/W3202407433","https://openalex.org/W3210967702","https://openalex.org/W4200200594","https://openalex.org/W4213084105","https://openalex.org/W4214671648","https://openalex.org/W4220880371","https://openalex.org/W4224080302","https://openalex.org/W4312496732","https://openalex.org/W4361223454","https://openalex.org/W6682644385","https://openalex.org/W6774187218","https://openalex.org/W6780061525","https://openalex.org/W6798942844","https://openalex.org/W6803856452"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W4394775207","https://openalex.org/W4283819694","https://openalex.org/W4307413935","https://openalex.org/W2369921616","https://openalex.org/W2387644738","https://openalex.org/W2962785319","https://openalex.org/W4290943396","https://openalex.org/W4293744028","https://openalex.org/W4327768022"],"abstract_inverted_index":{"Domain":[0,39],"adaptation":[1,64],"solves":[2],"image":[3],"classification":[4,106],"problems":[5],"in":[6,47,55,96,180],"the":[7,14,23,29,48,56,74,97,104,121,132,146,159,165,173,199],"target":[8,20,26,49,77,91,112,134,152,161],"domain":[9,50,63,92],"by":[10],"taking":[11],"advantage":[12],"of":[13,32,202],"labelled":[15,147],"source":[16,24,57,75,89,148],"data":[17,93,149,153,162],"and":[18,25,76,90,130,150,157,172,185,196,206],"unlabelled":[19],"data.":[21],"Usually,":[22],"domains":[27,78],"share":[28],"same":[30],"set":[31],"classes.":[33,167],"As":[34],"a":[35,62,80],"special":[36],"case,":[37],"Open-Set":[38,82],"Adaptation":[40],"(OSDA)":[41],"assumes":[42],"there":[43],"exist":[44],"additional":[45],"classes":[46,156],"but":[51],"are":[52,94,125],"not":[53],"present":[54],"domain.":[58],"To":[59,102],"solve":[60],"such":[61],"problem,":[65,107],"our":[66,108],"proposed":[67],"method":[68,109],"learns":[69],"discriminative":[70],"common":[71,99,139,169],"subspaces":[72],"for":[73],"using":[79],"novel":[81],"Locality":[83],"Preserving":[84],"Projection":[85],"(OSLPP)":[86],"algorithm.":[87],"The":[88,138,168],"aligned":[95],"learned":[98],"spaces":[100],"class-wise.":[101],"handle":[103],"open-set":[105],"progressively":[110],"selects":[111],"samples":[113,135],"to":[114],"be":[115],"pseudo-labelled":[116,151,174],"as":[117,127,136],"known":[118,155,166],"classes,":[119,129],"rejects":[120],"outliers":[122],"if":[123],"they":[124],"detected":[126],"unknown":[128],"leaves":[131],"remaining":[133],"uncertain.":[137],"subspace":[140,170],"learning":[141,171,183],"algorithm":[142],"OSLPP":[143],"simultaneously":[144],"aligns":[145],"from":[154,164],"pushes":[158],"rejected":[160],"away":[163],"sample":[175],"selection/rejection":[176],"facilitate":[177],"each":[178],"other":[179],"an":[181],"iterative":[182],"framework":[184],"achieve":[186],"state-of-the-art":[187],"performance":[188],"on":[189],"four":[190],"benchmark":[191],"datasets":[192],"Office-31,":[193],"Office-Home,":[194],"VisDA17":[195],"Syn2Real-O":[197],"with":[198],"average":[200],"HOS":[201],"87.6%,":[203],"67.0%,":[204],"76.1%":[205],"65.6%":[207],"respectively.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":6}],"updated_date":"2026-07-18T07:39:51.176621","created_date":"2025-10-10T00:00:00"}
