{"id":"https://openalex.org/W2991420006","doi":"https://doi.org/10.1145/3365109.3368783","title":"Class-Level Adaptation Network with Self Training for Unsupervised Domain Adaptation","display_name":"Class-Level Adaptation Network with Self Training for Unsupervised Domain Adaptation","publication_year":2019,"publication_date":"2019-11-27","ids":{"openalex":"https://openalex.org/W2991420006","doi":"https://doi.org/10.1145/3365109.3368783","mag":"2991420006"},"language":"en","primary_location":{"id":"doi:10.1145/3365109.3368783","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3365109.3368783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies","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/A5113744274","display_name":"Yuncheng Jin","orcid":null},"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":"Yuncheng Jin","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/A5100430140","display_name":"Zhihong Chen","orcid":"https://orcid.org/0000-0002-7298-8121"},"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":"Zhihong Chen","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/A5010163063","display_name":"Zhaowei Cheng","orcid":"https://orcid.org/0009-0003-9874-1535"},"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":"Zhaowei Cheng","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/A5114911427","display_name":"Chao Chen","orcid":"https://orcid.org/0000-0003-4649-4061"},"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":"Chao Chen","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/A5019134875","display_name":"Xinyu Jin","orcid":"https://orcid.org/0000-0002-9452-0036"},"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":"Xinyu Jin","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/A5100641761","display_name":"Bin Sun","orcid":"https://orcid.org/0000-0002-7029-8784"},"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":"Bin Sun","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":6,"corresponding_author_ids":["https://openalex.org/A5113744274"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15344783,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"137","last_page":"143"},"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":0.972000002861023,"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9093999862670898,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8250555992126465},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6595953106880188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6380623579025269},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5883991122245789},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5872553586959839},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5680594444274902},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5520043969154358},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5180180668830872},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5049644112586975},{"id":"https://openalex.org/keywords/clan","display_name":"Clan","score":0.43385520577430725},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3420500159263611},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32803988456726074},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.10087510943412781},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07833996415138245}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8250555992126465},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6595953106880188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6380623579025269},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5883991122245789},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5872553586959839},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5680594444274902},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5520043969154358},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5180180668830872},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5049644112586975},{"id":"https://openalex.org/C52826635","wikidata":"https://www.wikidata.org/wiki/Q211503","display_name":"Clan","level":2,"score":0.43385520577430725},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3420500159263611},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32803988456726074},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.10087510943412781},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07833996415138245},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3365109.3368783","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3365109.3368783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1565327149","https://openalex.org/W1731081199","https://openalex.org/W1910657905","https://openalex.org/W2057266281","https://openalex.org/W2100659887","https://openalex.org/W2101210369","https://openalex.org/W2106401878","https://openalex.org/W2112796928","https://openalex.org/W2155541015","https://openalex.org/W2162262658","https://openalex.org/W2162651021","https://openalex.org/W2163605009","https://openalex.org/W2165698076","https://openalex.org/W2194775991","https://openalex.org/W2335728318","https://openalex.org/W2467286621","https://openalex.org/W2475287302","https://openalex.org/W2592141621","https://openalex.org/W2593768305","https://openalex.org/W2805494479","https://openalex.org/W2948423890","https://openalex.org/W2962808524","https://openalex.org/W2963881378","https://openalex.org/W2964288524","https://openalex.org/W2998115938","https://openalex.org/W3035544567"],"related_works":["https://openalex.org/W4388334584","https://openalex.org/W2387904092","https://openalex.org/W2384939489","https://openalex.org/W2361304131","https://openalex.org/W2394099760","https://openalex.org/W355784367","https://openalex.org/W2039228853","https://openalex.org/W4394775207","https://openalex.org/W3095487414","https://openalex.org/W2901026139"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"has":[2],"been":[3],"widely":[4],"used":[5],"in":[6,10,26,33,62,123,180],"various":[7,14],"tasks.":[8],"However,":[9,74],"real-world":[11,34],"scenarios,":[12,28],"obtaining":[13],"dataset":[15],"with":[16,66],"labels":[17,70,142,165],"is":[18,39,138,158],"time-consuming":[19],"and":[20,29,90,125,184,215],"difficult.":[21],"Most":[22],"models":[23,31,207],"are":[24,128],"trained":[25],"simulated":[27],"such":[30],"degrade":[32],"scenarios.":[35],"Unsupervised":[36],"domain":[37,53,65,137,154,183,217],"adaptation":[38,109,218],"a":[40,47,113,188,195],"branch":[41],"of":[42,50,59,76,98,120,134,143,151,166,203],"transfer":[43],"learning,":[44],"which":[45,93,116],"utilizes":[46],"large":[48],"number":[49],"labeled":[51],"source":[52,89,124,136,145,182],"data":[54],"to":[55,95,176],"improve":[56],"the":[57,60,63,77,81,86,96,107,118,131,135,141,144,148,152,161,167,177,181,201,204,213],"performance":[58,211],"model":[61],"target":[64,91,126,153,168,174],"limited":[67],"or":[68],"missing":[69],"through":[71],"knowledge":[72],"transfer.":[73,100],"most":[75],"previous":[78],"work":[79],"neglected":[80],"category":[82],"information":[83],"when":[84],"aligning":[85],"distribution":[87],"between":[88],"domains,":[92],"led":[94],"emergence":[97],"negative":[99],"To":[101],"address":[102],"this":[103],"problem,":[104],"we":[105],"propose":[106],"class-level":[108],"network":[110],"(CLAN)":[111],"optimizing":[112],"novel":[114],"metric":[115],"makes":[117],"centers":[119],"each":[121,173],"class":[122,132,149],"domains":[127],"close.":[129],"Specifically,":[130],"center":[133,150,179],"generated":[139,159],"by":[140,160,193],"samples,":[146],"while":[147],"without":[155],"any":[156],"label":[157,192],"high":[162,189],"confidence":[163,190],"pseudo":[164,191],"samples.":[169],"Technically,":[170],"CLAN":[171],"matches":[172],"sample":[175],"nearest":[178],"assigns":[185],"an":[186],"example":[187],"considering":[194],"threshold.":[196],"Extensive":[197],"experiments":[198],"indicate":[199],"that":[200],"combination":[202],"aforementioned":[205],"two":[206],"can":[208],"achieve":[209],"state-of-the-art":[210],"on":[212],"Office-31":[214],"digital":[216],"benchmarks.":[219]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
