{"id":"https://openalex.org/W2999216888","doi":"https://doi.org/10.1109/tnnls.2019.2958152","title":"Discriminative Transfer Feature and Label Consistency for Cross-Domain Image Classification","display_name":"Discriminative Transfer Feature and Label Consistency for Cross-Domain Image Classification","publication_year":2020,"publication_date":"2020-01-07","ids":{"openalex":"https://openalex.org/W2999216888","doi":"https://doi.org/10.1109/tnnls.2019.2958152","mag":"2999216888","pmid":"https://pubmed.ncbi.nlm.nih.gov/31940560"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2019.2958152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2019.2958152","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":"https://openalex.org/A5100415954","display_name":"Shuang Li","orcid":"https://orcid.org/0000-0003-1910-7812"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Li","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1910-7812","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102923184","display_name":"Chi Harold Liu","orcid":"https://orcid.org/0000-0002-0252-329X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chi Harold Liu","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0252-329X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101642467","display_name":"Limin Su","orcid":"https://orcid.org/0000-0002-4693-5237"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Limin Su","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4693-5237","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009558549","display_name":"Binhui Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binhui Xie","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083458247","display_name":"Zhengming Ding","orcid":"https://orcid.org/0000-0002-6994-5278"},"institutions":[{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhengming Ding","raw_affiliation_strings":["Department of Computer, Information and Technology, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer, Information and Technology, Indiana University-Purdue University Indianapolis, Indianapolis, IN, USA","institution_ids":["https://openalex.org/I55769427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100643265","display_name":"C. L. Philip Chen","orcid":"https://orcid.org/0000-0001-5451-7230"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"C. L. Philip Chen","raw_affiliation_strings":["Faculty of Science and Technology, University of Macau, Macau, China"],"raw_orcid":"https://orcid.org/0000-0001-5451-7230","affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001469325","display_name":"Dapeng Wu","orcid":"https://orcid.org/0000-0003-1755-0183"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dapeng Wu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.3121,"has_fulltext":false,"cited_by_count":87,"citation_normalized_percentile":{"value":0.97679331,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"31","issue":"11","first_page":"4842","last_page":"4856"},"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":0.9878000020980835,"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/T12676","display_name":"Machine Learning and ELM","score":0.9146999716758728,"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/discriminative-model","display_name":"Discriminative model","score":0.9423025846481323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6836715340614319},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6787325739860535},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6450255513191223},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6394805908203125},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5098704099655151},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4756474196910858},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4716738164424896},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.43768665194511414},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22883805632591248}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9423025846481323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6836715340614319},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6787325739860535},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6450255513191223},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6394805908203125},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5098704099655151},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4756474196910858},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4716738164424896},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.43768665194511414},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22883805632591248},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2019.2958152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2019.2958152","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:31940560","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31940560","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":[{"score":0.7400000095367432,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G4762857569","display_name":null,"funder_award_id":"61902028","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":87,"referenced_works":["https://openalex.org/W149023494","https://openalex.org/W1565327149","https://openalex.org/W1576445103","https://openalex.org/W1594039573","https://openalex.org/W1722318740","https://openalex.org/W1882958252","https://openalex.org/W1982696459","https://openalex.org/W2006793117","https://openalex.org/W2057266281","https://openalex.org/W2064447488","https://openalex.org/W2088171019","https://openalex.org/W2096733369","https://openalex.org/W2096943734","https://openalex.org/W2104068492","https://openalex.org/W2104290444","https://openalex.org/W2106053110","https://openalex.org/W2112483442","https://openalex.org/W2115403315","https://openalex.org/W2118045473","https://openalex.org/W2125865219","https://openalex.org/W2128728535","https://openalex.org/W2131953535","https://openalex.org/W2141581971","https://openalex.org/W2149466042","https://openalex.org/W2154455818","https://openalex.org/W2155541015","https://openalex.org/W2159291411","https://openalex.org/W2163605009","https://openalex.org/W2165698076","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2240559667","https://openalex.org/W2279034837","https://openalex.org/W2283717164","https://openalex.org/W2342085406","https://openalex.org/W2520436654","https://openalex.org/W2520774990","https://openalex.org/W2552765257","https://openalex.org/W2590953969","https://openalex.org/W2593768305","https://openalex.org/W2616287544","https://openalex.org/W2627183927","https://openalex.org/W2756073160","https://openalex.org/W2762262611","https://openalex.org/W2767179670","https://openalex.org/W2770645414","https://openalex.org/W2788768841","https://openalex.org/W2789767547","https://openalex.org/W2800222246","https://openalex.org/W2803106019","https://openalex.org/W2892946488","https://openalex.org/W2919115771","https://openalex.org/W2951670162","https://openalex.org/W2955547856","https://openalex.org/W2962687275","https://openalex.org/W2963275094","https://openalex.org/W2963446712","https://openalex.org/W2963756240","https://openalex.org/W2963777311","https://openalex.org/W2963826681","https://openalex.org/W2963993484","https://openalex.org/W2964278684","https://openalex.org/W2964288524","https://openalex.org/W2997701990","https://openalex.org/W3099206234","https://openalex.org/W3144619878","https://openalex.org/W3195149063","https://openalex.org/W4294375521","https://openalex.org/W6633949838","https://openalex.org/W6634343353","https://openalex.org/W6639480849","https://openalex.org/W6675747103","https://openalex.org/W6675751002","https://openalex.org/W6676840641","https://openalex.org/W6677741084","https://openalex.org/W6678814708","https://openalex.org/W6681637710","https://openalex.org/W6682494755","https://openalex.org/W6682778277","https://openalex.org/W6683633756","https://openalex.org/W6684191040","https://openalex.org/W6685415078","https://openalex.org/W6695692224","https://openalex.org/W6713955831","https://openalex.org/W6745280964","https://openalex.org/W6746789195","https://openalex.org/W6748805638"],"related_works":["https://openalex.org/W1487808658","https://openalex.org/W3080655457","https://openalex.org/W2145868540","https://openalex.org/W4389474468","https://openalex.org/W3166286441","https://openalex.org/W3214142563","https://openalex.org/W3136267388","https://openalex.org/W3186065094","https://openalex.org/W4287263085","https://openalex.org/W3093803318"],"abstract_inverted_index":{"Visual":[0],"domain":[1,71,102,126,246,256],"adaptation":[2,127,247,257],"aims":[3],"to":[4,43,87,107,219,253],"seek":[5],"an":[6,224],"effective":[7],"transferable":[8,65],"model":[9],"for":[10,124,182],"unlabeled":[11],"target":[12,35,80,96,145,193,214],"images":[13,20],"by":[14,39,58,159],"benefiting":[15],"from":[16],"the":[17,40,46,63,79,93,100,161,168,172,179,186,201,205,208],"well-labeled":[18],"source":[19,41,143],"following":[21],"different":[22,180],"distributions.":[23],"Many":[24],"recent":[25],"efforts":[26],"focus":[27],"on":[28,200,229],"extracting":[29],"domain-invariant":[30],"image":[31],"representations":[32],"via":[33],"exploring":[34],"pseudo":[36,81,194],"labels,":[37],"predicted":[38,95],"classifier,":[42],"further":[44],"mitigate":[45],"conditional":[47],"distribution":[48,187],"shift":[49],"across":[50],"domains.":[51,191,206],"However,":[52],"two":[53,110],"essential":[54],"factors":[55],"are":[56,196],"overlooked":[57],"most":[59],"existing":[60],"methods:":[61],"1)":[62],"learned":[64],"features":[66],"should":[67],"be":[68,151,217,251],"not":[69],"only":[70],"invariant":[72],"but":[73],"also":[74],"category":[75],"discriminative;":[76],"and":[77,119,139,144,171,212,249],"2)":[78],"label":[82,120,140,202],"is":[83],"a":[84,115],"two-edged":[85],"sword":[86],"cross-domain":[88,133,232],"alignment.":[89],"In":[90,104],"other":[91,222],"words,":[92],"wrongly":[94],"labels":[97,181,195,215],"may":[98],"hinder":[99],"class-wise":[101],"matching.":[103],"this":[105],"article,":[106],"address":[108],"these":[109],"issues":[111],"simultaneously,":[112],"we":[113],"propose":[114],"discriminative":[116,136,157],"transfer":[117,209],"feature":[118,210],"consistency":[121,141,203],"(DTLC)":[122],"approach":[123],"visual":[125,231,245],"problems,":[128],"which":[129],"can":[130,237],"naturally":[131],"unify":[132],"alignment":[134,188],"with":[135],"information":[137,158],"preserved":[138],"of":[142,164,175,189],"data":[146,165,176,184],"into":[147,185],"one":[148],"framework.":[149],"To":[150],"specific,":[152],"DTLC":[153,236],"first":[154],"incorporates":[155],"class":[156,170],"penalizing":[160],"maximum":[162],"distance":[163,174],"pair":[166,177],"in":[167,223],"same":[169],"minimum":[173],"sharing":[178],"each":[183,221],"both":[190],"The":[192],"then":[197],"refined":[198],"based":[199],"within":[204],"Thus,":[207],"learning":[211],"coarse-to-fine":[213],"would":[216],"coupled":[218],"benefit":[220],"iterative":[225],"way.":[226],"Comprehensive":[227],"experiments":[228],"several":[230],"benchmarks":[233],"verify":[234],"that":[235],"gain":[238],"remarkable":[239],"margins":[240],"over":[241],"state-of-the-art":[242],"(SOTA)":[243],"nondeep":[244],"methods":[248],"even":[250],"comparable":[252],"competitive":[254],"deep":[255],"ones.":[258]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":3}],"updated_date":"2026-06-12T08:23:45.883708","created_date":"2025-10-10T00:00:00"}