{"id":"https://openalex.org/W3199643775","doi":"https://doi.org/10.1109/tcyb.2021.3110128","title":"D-BIN: A Generalized Disentangling Batch Instance Normalization for Domain Adaptation","display_name":"D-BIN: A Generalized Disentangling Batch Instance Normalization for Domain Adaptation","publication_year":2021,"publication_date":"2021-09-21","ids":{"openalex":"https://openalex.org/W3199643775","doi":"https://doi.org/10.1109/tcyb.2021.3110128","mag":"3199643775","pmid":"https://pubmed.ncbi.nlm.nih.gov/34546939"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2021.3110128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2021.3110128","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","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/A5100652867","display_name":"Yurong Chen","orcid":"https://orcid.org/0000-0002-6171-4555"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yurong Chen","raw_affiliation_strings":["National Engineering Laboratory of Robot Visual Perception and Control Technology, School of Robotics, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-6171-4555","affiliations":[{"raw_affiliation_string":"National Engineering Laboratory of Robot Visual Perception and Control Technology, School of Robotics, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100323420","display_name":"Hui Zhang","orcid":"https://orcid.org/0000-0002-1803-3148"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zhang","raw_affiliation_strings":["National Engineering Laboratory of Robot Visual Perception and Control Technology, School of Robotics, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-1803-3148","affiliations":[{"raw_affiliation_string":"National Engineering Laboratory of Robot Visual Perception and Control Technology, School of Robotics, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025640070","display_name":"Yaonan Wang","orcid":"https://orcid.org/0000-0002-0519-6458"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaonan Wang","raw_affiliation_strings":["National Engineering Laboratory of Robot Visual Perception and Control Technology, School of Robotics, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-0519-6458","affiliations":[{"raw_affiliation_string":"National Engineering Laboratory of Robot Visual Perception and Control Technology, School of Robotics, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068320588","display_name":"Weixing Peng","orcid":"https://orcid.org/0000-0002-5594-5146"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weixing Peng","raw_affiliation_strings":["National Engineering Laboratory of Robot Visual Perception and Control Technology, School of Robotics, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-5594-5146","affiliations":[{"raw_affiliation_string":"National Engineering Laboratory of Robot Visual Perception and Control Technology, School of Robotics, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112686067","display_name":"Wangdong Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Wangdong Zhang","raw_affiliation_strings":["College of Electrical and Computer Engineering, University of Windsor, Windsor, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Computer Engineering, University of Windsor, Windsor, Canada","institution_ids":["https://openalex.org/I74413500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100731724","display_name":"Q. M. Jonathan Wu","orcid":"https://orcid.org/0000-0002-5208-7975"},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Q. M. Jonathan Wu","raw_affiliation_strings":["College of Electrical and Computer Engineering, University of Windsor, Windsor, Canada"],"raw_orcid":"https://orcid.org/0000-0002-5208-7975","affiliations":[{"raw_affiliation_string":"College of Electrical and Computer Engineering, University of Windsor, Windsor, Canada","institution_ids":["https://openalex.org/I74413500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101783854","display_name":"Yimin Yang","orcid":"https://orcid.org/0000-0002-1131-2056"},"institutions":[{"id":"https://openalex.org/I72541430","display_name":"Lakehead University","ror":"https://ror.org/023p7mg82","country_code":"CA","type":"education","lineage":["https://openalex.org/I72541430"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yimin Yang","raw_affiliation_strings":["College of Computer Science, Lakehead University, Thunder Bay, Canada"],"raw_orcid":"https://orcid.org/0000-0002-1131-2056","affiliations":[{"raw_affiliation_string":"College of Computer Science, Lakehead University, Thunder Bay, Canada","institution_ids":["https://openalex.org/I72541430"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100652867"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":1.9598,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.8874882,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"53","issue":"4","first_page":"2151","last_page":"2163"},"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":0.9872999787330627,"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":0.9631999731063843,"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/normalization","display_name":"Normalization (sociology)","score":0.7354459166526794},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7261711955070496},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.685468316078186},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5846741795539856},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4574451148509979},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.44391822814941406},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.44108492136001587},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4370865821838379},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3985570967197418},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36882632970809937}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7354459166526794},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7261711955070496},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.685468316078186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5846741795539856},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4574451148509979},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.44391822814941406},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.44108492136001587},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4370865821838379},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3985570967197418},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36882632970809937},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2021.3110128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2021.3110128","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:34546939","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34546939","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 cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.699999988079071,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2263544506","display_name":null,"funder_award_id":"2021-KF-22-17","funder_id":"https://openalex.org/F4320326907","funder_display_name":"State Key Laboratory of Robotics"},{"id":"https://openalex.org/G5317443217","display_name":null,"funder_award_id":"2018YFB1308200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7185484708","display_name":null,"funder_award_id":"62027810","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7676649452","display_name":null,"funder_award_id":"kh2003026","funder_id":"https://openalex.org/F4320336753","funder_display_name":"Changsha Science and Technology Project"},{"id":"https://openalex.org/G7745736485","display_name":null,"funder_award_id":"61971071","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8190209641","display_name":null,"funder_award_id":"62133005","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"},{"id":"https://openalex.org/F4320326907","display_name":"State Key Laboratory of Robotics","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320336753","display_name":"Changsha Science and Technology Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1682403713","https://openalex.org/W1722318740","https://openalex.org/W1861492603","https://openalex.org/W1971221757","https://openalex.org/W1980276039","https://openalex.org/W1981658663","https://openalex.org/W2031489346","https://openalex.org/W2031774932","https://openalex.org/W2060300932","https://openalex.org/W2108598243","https://openalex.org/W2115403315","https://openalex.org/W2118376687","https://openalex.org/W2162651021","https://openalex.org/W2165698076","https://openalex.org/W2214409633","https://openalex.org/W2322373233","https://openalex.org/W2472390602","https://openalex.org/W2475287302","https://openalex.org/W2478454054","https://openalex.org/W2502312327","https://openalex.org/W2520436654","https://openalex.org/W2552765257","https://openalex.org/W2572730214","https://openalex.org/W2593768305","https://openalex.org/W2603777577","https://openalex.org/W2732026016","https://openalex.org/W2770645414","https://openalex.org/W2801477643","https://openalex.org/W2884366600","https://openalex.org/W2949736877","https://openalex.org/W2955547856","https://openalex.org/W2962793481","https://openalex.org/W2963275094","https://openalex.org/W2963403405","https://openalex.org/W2963890275","https://openalex.org/W2966145398","https://openalex.org/W3001909981","https://openalex.org/W3009072794","https://openalex.org/W3009561768","https://openalex.org/W3018638193","https://openalex.org/W3034727830","https://openalex.org/W3112221804","https://openalex.org/W3159890710","https://openalex.org/W4210972068","https://openalex.org/W4287393470","https://openalex.org/W4310895557","https://openalex.org/W6638667902","https://openalex.org/W6639480849","https://openalex.org/W6680137543","https://openalex.org/W6682658890","https://openalex.org/W6683124652","https://openalex.org/W6683633756","https://openalex.org/W6685562342","https://openalex.org/W6694954494","https://openalex.org/W6729110096","https://openalex.org/W6730389898","https://openalex.org/W6745620410","https://openalex.org/W6750109254","https://openalex.org/W6761687776","https://openalex.org/W6785617663"],"related_works":["https://openalex.org/W4293202849","https://openalex.org/W1980965563","https://openalex.org/W1489300767","https://openalex.org/W2387995142","https://openalex.org/W2357124094","https://openalex.org/W4380714744","https://openalex.org/W4319453655","https://openalex.org/W2387399993","https://openalex.org/W4321441197","https://openalex.org/W1617617605"],"abstract_inverted_index":{"Pattern":[0],"recognition":[1],"is":[2],"significantly":[3],"challenging":[4],"in":[5,228],"real-world":[6],"scenarios":[7],"by":[8],"the":[9,20,32,58,80,103,112,117,136,156,191,217,225,233,241,247,263],"variability":[10],"of":[11,25,36,63,65,82,102,105,138,164,224,235],"visual":[12,88],"statistics.":[13],"Therefore,":[14],"most":[15],"existing":[16],"algorithms":[17],"relying":[18],"on":[19,38,141,145,272],"independent":[21],"identically":[22],"distributed":[23],"assumption":[24],"training":[26],"and":[27,61,70,108,125,162,179,212,238,246,269],"test":[28],"data":[29],"suffer":[30],"from":[31,194],"poor":[33],"generalization":[34],"capability":[35],"inference":[37],"unseen":[39],"testing":[40],"datasets.":[41],"Although":[42],"numerous":[43],"studies,":[44],"including":[45,266],"domain":[46,118,142,267],"discriminator":[47],"or":[48],"domain-invariant":[49],"feature":[50,139,181,222],"learning,":[51],"are":[52],"proposed":[53],"to":[54,78,98,116,121,153,187,197,230,258],"alleviate":[55],"this":[56,74,131,173],"problem,":[57],"data-driven":[59],"property":[60],"lack":[62],"interpretation":[64],"their":[66,260,277],"principle":[67],"throw":[68],"researchers":[69],"developers":[71],"off.":[72],"Consequently,":[73],"dilemma":[75],"incurs":[76],"us":[77,97],"rethink":[79],"essence":[81],"networks'":[83],"generalization.":[84],"An":[85],"observation":[86],"that":[87],"patterns":[89],"cannot":[90],"be":[91,251],"discriminative":[92,236],"after":[93],"style":[94,106,113,126,205],"transfer":[95],"inspires":[96],"take":[99],"careful":[100],"consideration":[101],"importance":[104],"features":[107,127,165],"content":[109,124,200],"features.":[110],"Does":[111],"information":[114,158,219,237],"related":[115],"bias?":[119],"How":[120],"effectively":[122,239],"disentangle":[123],"across":[128,243],"domains?":[129],"In":[130,172,262],"article,":[132],"we":[133,147,175,208],"first":[134],"investigate":[135],"effect":[137],"normalization":[140,151,170,226],"adaptation.":[143],"Based":[144],"it,":[146],"propose":[148],"a":[149],"novel":[150],"module":[152],"adaptively":[154],"leverage":[155],"propagated":[157],"through":[159],"each":[160],"channel":[161],"batch":[163,168],"called":[166],"disentangling":[167],"instance":[169],"(D-BIN).":[171],"module,":[174],"explicitly":[176],"explore":[177],"domain-specific":[178],"domaininvariant":[180],"disentanglement.":[182],"We":[183],"maneuver":[184],"contrastive":[185],"learning":[186],"encourage":[188],"images":[189],"with":[190],"same":[192],"semantics":[193],"different":[195,273],"domains":[196],"have":[198,275],"similar":[199],"representations":[201,223],"while":[202],"having":[203],"dissimilar":[204],"representations.":[206],"Furthermore,":[207],"construct":[209],"both":[210],"self-form":[211],"dual-form":[213],"regularizers":[214],"for":[215,232],"preserving":[216],"mutual":[218],"(MI)":[220],"between":[221],"layer":[227],"order":[229],"compensate":[231],"loss":[234],"match":[240],"distributions":[242],"domains.":[244],"D-BIN":[245],"constrained":[248],"term":[249],"can":[250],"simply":[252],"plugged":[253],"into":[254],"state-of-the-art":[255],"(SOTA)":[256],"networks":[257],"improve":[259],"performance.":[261],"end,":[264],"experiments,":[265],"adaptation":[268],"generalization,":[270],"conducted":[271],"datasets":[274],"proven":[276],"effectiveness.":[278]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}