{"id":"https://openalex.org/W3200142922","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533499","title":"Bi-Adversarial Discrepancy Minimization for Unsupervised Domain Adaptation on 3D Point Cloud","display_name":"Bi-Adversarial Discrepancy Minimization for Unsupervised Domain Adaptation on 3D Point Cloud","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3200142922","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533499","mag":"3200142922"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","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/A5102842771","display_name":"Haoran Tang","orcid":"https://orcid.org/0000-0003-0700-8710"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Haoran Tang","raw_affiliation_strings":["Electrical and Computer Engineering University of Illinois at Urbana-Champaign,Champaign,United States","Electrical and Computer Engineering University of Illinois at Urbana-Champaign, Champaign, United States"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering University of Illinois at Urbana-Champaign,Champaign,United States","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Electrical and Computer Engineering University of Illinois at Urbana-Champaign, Champaign, United States","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100527552","display_name":"Changwei Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Changwei Xu","raw_affiliation_strings":["Computer Science University of California, Santa Barbara,Santa Barbara,United States","Computer Science University of California, Santa Barbara, Santa Barbara, United States"],"affiliations":[{"raw_affiliation_string":"Computer Science University of California, Santa Barbara,Santa Barbara,United States","institution_ids":["https://openalex.org/I154570441"]},{"raw_affiliation_string":"Computer Science University of California, Santa Barbara, Santa Barbara, United States","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005666034","display_name":"Jianfei Yang","orcid":"https://orcid.org/0000-0002-8075-0439"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jianfei Yang","raw_affiliation_strings":["Electrical and Electronic Engineering Nanyang Technological University,Singapore","Electrical and Electronic Engineering Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Electrical and Electronic Engineering Nanyang Technological University,Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Electrical and Electronic Engineering Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102842771"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":0.136,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55112945,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9994999766349792,"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":0.9994999766349792,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9833999872207642,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9526000022888184,"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/point-cloud","display_name":"Point cloud","score":0.9107924103736877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7657315731048584},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.7044352293014526},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6561857461929321},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.646191418170929},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6410816311836243},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5582164525985718},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5254518389701843},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5081348419189453},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4875919222831726},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4781968593597412},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4747462868690491},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.471820205450058},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.43967404961586},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4239279627799988},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4145435392856598},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11297035217285156},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0802900493144989}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.9107924103736877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7657315731048584},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.7044352293014526},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6561857461929321},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.646191418170929},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6410816311836243},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5582164525985718},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5254518389701843},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5081348419189453},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4875919222831726},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4781968593597412},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4747462868690491},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.471820205450058},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.43967404961586},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4239279627799988},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4145435392856598},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11297035217285156},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0802900493144989},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9533499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W92894758","https://openalex.org/W1522301498","https://openalex.org/W1608733719","https://openalex.org/W1617650991","https://openalex.org/W1731081199","https://openalex.org/W1779010541","https://openalex.org/W1882958252","https://openalex.org/W1920022804","https://openalex.org/W2096943734","https://openalex.org/W2131953535","https://openalex.org/W2145494108","https://openalex.org/W2159291411","https://openalex.org/W2165698076","https://openalex.org/W2190691619","https://openalex.org/W2194775991","https://openalex.org/W2212660284","https://openalex.org/W2293363371","https://openalex.org/W2560609797","https://openalex.org/W2593768305","https://openalex.org/W2594519801","https://openalex.org/W2772798650","https://openalex.org/W2786559811","https://openalex.org/W2897189857","https://openalex.org/W2902302021","https://openalex.org/W2905589284","https://openalex.org/W2937019265","https://openalex.org/W2962687275","https://openalex.org/W2963094258","https://openalex.org/W2963121255","https://openalex.org/W2963125977","https://openalex.org/W2963826681","https://openalex.org/W2963966020","https://openalex.org/W2968557240","https://openalex.org/W2970623619","https://openalex.org/W2980815547","https://openalex.org/W2983064130","https://openalex.org/W3000681136","https://openalex.org/W3003986888","https://openalex.org/W3008383986","https://openalex.org/W3012200103","https://openalex.org/W3039448353","https://openalex.org/W3109233242","https://openalex.org/W3118371074","https://openalex.org/W3121021090","https://openalex.org/W3126473426","https://openalex.org/W4298289240","https://openalex.org/W4394671432","https://openalex.org/W6603760306","https://openalex.org/W6636267554","https://openalex.org/W6637568146","https://openalex.org/W6638338423","https://openalex.org/W6639480849","https://openalex.org/W6681588610","https://openalex.org/W6688325169","https://openalex.org/W6739778489","https://openalex.org/W6747683314","https://openalex.org/W6761139768","https://openalex.org/W6763422710","https://openalex.org/W6767325187","https://openalex.org/W6769691525","https://openalex.org/W6786704358","https://openalex.org/W6788523898"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W4288019534"],"abstract_inverted_index":{"Domain":[0],"Adaptation":[1],"(DA)":[2],"has":[3],"brought":[4],"significant":[5],"progress":[6],"to":[7,95,106],"a":[8,43,73],"wide":[9],"range":[10],"of":[11,48,53,110],"computer":[12],"vision":[13],"tasks.":[14],"However,":[15],"there":[16],"are":[17],"few":[18],"methods":[19],"that":[20,158],"explores":[21],"domain":[22],"adaptation":[23],"on":[24,99],"3D":[25,34,128,149,166],"point":[26,49,84,129],"cloud":[27,50,85,130],"data,":[28],"which":[29,80,139],"plays":[30],"crucial":[31],"role":[32],"in":[33],"recognition":[35],"tasks":[36],"(i.e.,":[37],"autonomous":[38],"driving":[39],"and":[40,57,64,123,145],"robotics).":[41],"In":[42,68,113],"nutshell,":[44],"the":[45,82,108,137],"unique":[46],"challenges":[47],"data":[51,62,86],"consist":[52],"abundant":[54],"spatial":[55],"global":[56,96],"local":[58,104,111],"geometric":[59],"information,":[60],"complicated":[61],"distribution,":[63],"more":[65,120],"ambiguous":[66],"margins.":[67],"this":[69,127],"paper,":[70],"we":[71,101,133],"introduce":[72],"novel":[74],"Bi-Adversarial":[75],"Discrepancy":[76],"Minimization":[77],"network":[78],"(BADM),":[79],"aligns":[81],"cross-domain":[83,148],"by":[87],"adopting":[88],"two":[89],"adversarial":[90],"learning":[91],"units":[92],"with":[93],"respect":[94],"representations.":[97],"Based":[98],"PointNet,":[100],"also":[102],"utilize":[103],"alignment":[105],"reduce":[107],"discrepancy":[109],"structures.":[112],"addition,":[114],"our":[115,159],"BADM":[116],"method":[117],"helps":[118],"define":[119],"accurate":[121],"margin":[122],"decision":[124],"bounds.":[125],"For":[126],"DA":[131,167],"scenario,":[132],"use":[134],"PointDA-10":[135],"as":[136],"benchmark,":[138],"is":[140],"extracted":[141],"from":[142],"ModelNet,":[143],"ShapeNet,":[144],"ScanNet":[146],"for":[147],"object":[150],"classification":[151],"(10":[152],"mutual":[153],"classes).":[154],"Extensive":[155],"experiments":[156],"demonstrate":[157],"approach":[160],"achieves":[161],"state-of-the-art":[162],"performance,":[163],"outperforming":[164],"other":[165],"approaches.":[168]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}