{"id":"https://openalex.org/W1982696459","doi":"https://doi.org/10.1109/msp.2014.2347059","title":"Visual Domain Adaptation: A survey of recent advances","display_name":"Visual Domain Adaptation: A survey of recent advances","publication_year":2015,"publication_date":"2015-04-03","ids":{"openalex":"https://openalex.org/W1982696459","doi":"https://doi.org/10.1109/msp.2014.2347059","mag":"1982696459"},"language":"en","primary_location":{"id":"doi:10.1109/msp.2014.2347059","is_oa":false,"landing_page_url":"https://doi.org/10.1109/msp.2014.2347059","pdf_url":null,"source":{"id":"https://openalex.org/S120977877","display_name":"IEEE Signal Processing Magazine","issn_l":"1053-5888","issn":["1053-5888","1558-0792"],"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 Signal Processing Magazine","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/A5004716468","display_name":"Vishal M. Patel","orcid":"https://orcid.org/0000-0002-5239-692X"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Vishal M Patel","raw_affiliation_strings":["University of Maryland at College Park, College Park, MD, US","Electrical and Computer Engineering, University of Maryland, College Park, Maryland 20742 United States"],"affiliations":[{"raw_affiliation_string":"University of Maryland at College Park, College Park, MD, US","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Electrical and Computer Engineering, University of Maryland, College Park, Maryland 20742 United States","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036016228","display_name":"Raghuraman Gopalan","orcid":null},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raghuraman Gopalan","raw_affiliation_strings":["AT&T Labs-Research, Middletown, New Jersey 07748 United States","[AT&T Labs-Research, Middletown, New Jersey 07748 United States]"],"affiliations":[{"raw_affiliation_string":"AT&T Labs-Research, Middletown, New Jersey 07748 United States","institution_ids":["https://openalex.org/I1283103587"]},{"raw_affiliation_string":"[AT&T Labs-Research, Middletown, New Jersey 07748 United States]","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100772026","display_name":"Ruonan Li","orcid":"https://orcid.org/0000-0002-9295-7322"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruonan Li","raw_affiliation_strings":["Harvard University, Cambridge, MA, US","SEAS, Harvard University, Cambridge, Massachusetts 02138 United States"],"affiliations":[{"raw_affiliation_string":"Harvard University, Cambridge, MA, US","institution_ids":["https://openalex.org/I2801851002"]},{"raw_affiliation_string":"SEAS, Harvard University, Cambridge, Massachusetts 02138 United States","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102762707","display_name":"Rama Chellappa","orcid":"https://orcid.org/0000-0002-7638-1650"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rama Chellappa","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Center for Automation Research, UMIACS, College Park, Maryland United States"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Center for Automation Research, UMIACS, College Park, Maryland United States","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004716468"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":116.989,"has_fulltext":false,"cited_by_count":935,"citation_normalized_percentile":{"value":0.99970114,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"32","issue":"3","first_page":"53","last_page":"69"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9822999835014343,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9696000218391418,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.839438796043396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7907226085662842},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.680734395980835},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6680993437767029},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5476866364479065},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5368666052818298},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5286988019943237},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.4923959970474243},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.48952779173851013},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.43170303106307983},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33299994468688965},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.32379674911499023},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.07458648085594177}],"concepts":[{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.839438796043396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7907226085662842},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.680734395980835},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6680993437767029},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5476866364479065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5368666052818298},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5286988019943237},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.4923959970474243},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.48952779173851013},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.43170303106307983},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33299994468688965},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.32379674911499023},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.07458648085594177},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/msp.2014.2347059","is_oa":false,"landing_page_url":"https://doi.org/10.1109/msp.2014.2347059","pdf_url":null,"source":{"id":"https://openalex.org/S120977877","display_name":"IEEE Signal Processing Magazine","issn_l":"1053-5888","issn":["1053-5888","1558-0792"],"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 Signal Processing Magazine","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320333591","display_name":"Multidisciplinary University Research Initiative","ror":null},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":141,"referenced_works":["https://openalex.org/W22861983","https://openalex.org/W68545599","https://openalex.org/W117482296","https://openalex.org/W198034206","https://openalex.org/W1479807131","https://openalex.org/W1484456269","https://openalex.org/W1552919843","https://openalex.org/W1565176903","https://openalex.org/W1576445103","https://openalex.org/W1591116419","https://openalex.org/W1597421340","https://openalex.org/W1607624180","https://openalex.org/W1682040381","https://openalex.org/W1722318740","https://openalex.org/W1736339626","https://openalex.org/W1782590233","https://openalex.org/W1784617778","https://openalex.org/W1822439997","https://openalex.org/W1852255964","https://openalex.org/W1941659294","https://openalex.org/W1978920452","https://openalex.org/W1981658663","https://openalex.org/W1985967702","https://openalex.org/W1988348003","https://openalex.org/W1989702938","https://openalex.org/W1997201895","https://openalex.org/W2004273576","https://openalex.org/W2013261143","https://openalex.org/W2030899956","https://openalex.org/W2031342017","https://openalex.org/W2031929776","https://openalex.org/W2032536435","https://openalex.org/W2034368206","https://openalex.org/W2064447488","https://openalex.org/W2069057437","https://openalex.org/W2069959554","https://openalex.org/W2071207147","https://openalex.org/W2081990996","https://openalex.org/W2085269372","https://openalex.org/W2089685866","https://openalex.org/W2090923791","https://openalex.org/W2096873754","https://openalex.org/W2097053051","https://openalex.org/W2097089247","https://openalex.org/W2098411764","https://openalex.org/W2099501835","https://openalex.org/W2100495367","https://openalex.org/W2103490241","https://openalex.org/W2104068492","https://openalex.org/W2105464873","https://openalex.org/W2106277773","https://openalex.org/W2106409489","https://openalex.org/W2107250100","https://openalex.org/W2109693548","https://openalex.org/W2109743529","https://openalex.org/W2111362445","https://openalex.org/W2112483442","https://openalex.org/W2115191221","https://openalex.org/W2115549875","https://openalex.org/W2115575686","https://openalex.org/W2115752676","https://openalex.org/W2119928770","https://openalex.org/W2120149881","https://openalex.org/W2120354757","https://openalex.org/W2120559187","https://openalex.org/W2121010533","https://openalex.org/W2122084318","https://openalex.org/W2122922389","https://openalex.org/W2127840337","https://openalex.org/W2128053425","https://openalex.org/W2132175002","https://openalex.org/W2136922672","https://openalex.org/W2139122730","https://openalex.org/W2149466042","https://openalex.org/W2153288431","https://openalex.org/W2155284717","https://openalex.org/W2155541015","https://openalex.org/W2156872152","https://openalex.org/W2156909104","https://openalex.org/W2157785456","https://openalex.org/W2157785665","https://openalex.org/W2157989183","https://openalex.org/W2158815628","https://openalex.org/W2159570078","https://openalex.org/W2160039895","https://openalex.org/W2163398148","https://openalex.org/W2164530430","https://openalex.org/W2165698076","https://openalex.org/W2169495281","https://openalex.org/W2170607218","https://openalex.org/W2186639548","https://openalex.org/W2255883267","https://openalex.org/W2296319761","https://openalex.org/W2499981259","https://openalex.org/W2536626143","https://openalex.org/W2811380766","https://openalex.org/W2912990735","https://openalex.org/W2913340405","https://openalex.org/W2950333415","https://openalex.org/W2963689635","https://openalex.org/W2977511996","https://openalex.org/W3143107425","https://openalex.org/W4231109964","https://openalex.org/W4235713725","https://openalex.org/W4237279480","https://openalex.org/W4250589301","https://openalex.org/W4285719527","https://openalex.org/W4294375521","https://openalex.org/W6600949241","https://openalex.org/W6608094899","https://openalex.org/W6628890452","https://openalex.org/W6633602821","https://openalex.org/W6635500466","https://openalex.org/W6637154279","https://openalex.org/W6637542466","https://openalex.org/W6638172670","https://openalex.org/W6638635240","https://openalex.org/W6639105354","https://openalex.org/W6658171403","https://openalex.org/W6672976891","https://openalex.org/W6674764686","https://openalex.org/W6675696936","https://openalex.org/W6676141320","https://openalex.org/W6676460831","https://openalex.org/W6676840641","https://openalex.org/W6677069268","https://openalex.org/W6677430534","https://openalex.org/W6677446445","https://openalex.org/W6677533783","https://openalex.org/W6678235492","https://openalex.org/W6678323839","https://openalex.org/W6681637710","https://openalex.org/W6682725716","https://openalex.org/W6682778277","https://openalex.org/W6682782370","https://openalex.org/W6683032868","https://openalex.org/W6683390231","https://openalex.org/W6683401423","https://openalex.org/W6686604231","https://openalex.org/W6929385289","https://openalex.org/W7065360216"],"related_works":["https://openalex.org/W4376166954","https://openalex.org/W2152148513","https://openalex.org/W2341113105","https://openalex.org/W3101081936","https://openalex.org/W2146724556","https://openalex.org/W2028936140","https://openalex.org/W2795384291","https://openalex.org/W4287231780","https://openalex.org/W2801443642","https://openalex.org/W2059979378"],"abstract_inverted_index":{"In":[0,60],"pattern":[1],"recognition":[2],"and":[3,78,85],"computer":[4],"vision,":[5],"one":[6],"is":[7,31],"often":[8],"faced":[9],"with":[10],"scenarios":[11],"where":[12],"the":[13,25,29,35,76],"training":[14],"data":[15,26],"used":[16],"to":[17,56],"learn":[18],"a":[19,44,65],"model":[20,30],"have":[21],"different":[22],"distribution":[23],"from":[24],"on":[27],"which":[28],"applied.":[32],"Regardless":[33],"of":[34,67,80],"cause,":[36],"any":[37],"distributional":[38],"change":[39],"that":[40],"occurs":[41],"after":[42],"learning":[43],"classifier":[45],"can":[46],"degrade":[47],"its":[48],"performance":[49],"at":[50],"test":[51],"time.":[52],"Domain":[53],"adaptation":[54,69,83],"tries":[55],"mitigate":[57],"this":[58,61,92],"degradation.":[59],"article,":[62],"we":[63],"provide":[64],"survey":[66],"domain":[68,82],"methods":[70],"for":[71,89],"visual":[72],"recognition.":[73],"We":[74],"discuss":[75],"merits":[77],"drawbacks":[79],"existing":[81],"approaches":[84],"identify":[86],"promising":[87],"avenues":[88],"research":[90],"in":[91],"rapidly":[93],"evolving":[94],"field.":[95]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":33},{"year":2024,"cited_by_count":60},{"year":2023,"cited_by_count":64},{"year":2022,"cited_by_count":85},{"year":2021,"cited_by_count":126},{"year":2020,"cited_by_count":158},{"year":2019,"cited_by_count":138},{"year":2018,"cited_by_count":101},{"year":2017,"cited_by_count":86},{"year":2016,"cited_by_count":58},{"year":2015,"cited_by_count":18},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}