{"id":"https://openalex.org/W4312780402","doi":"https://doi.org/10.1109/iros47612.2022.9981603","title":"Unsupervised Domain Adaptation for Point Cloud Semantic Segmentation via Graph Matching","display_name":"Unsupervised Domain Adaptation for Point Cloud Semantic Segmentation via Graph Matching","publication_year":2022,"publication_date":"2022-10-23","ids":{"openalex":"https://openalex.org/W4312780402","doi":"https://doi.org/10.1109/iros47612.2022.9981603"},"language":"en","primary_location":{"id":"doi:10.1109/iros47612.2022.9981603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros47612.2022.9981603","pdf_url":null,"source":{"id":"https://openalex.org/S4363607704","display_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5050745515","display_name":"Yikai Bian","orcid":null},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]},{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yikai Bian","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology,PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, and Jiangsu Key Lab of Image and Video Understanding for Social Security,Nanjing,China","PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, and Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology,PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, and Jiangsu Key Lab of Image and Video Understanding for Social Security,Nanjing,China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, and Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125","https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030769176","display_name":"Le Hui","orcid":"https://orcid.org/0000-0003-0851-6805"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]},{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Hui","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology,PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, and Jiangsu Key Lab of Image and Video Understanding for Social Security,Nanjing,China","PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, and Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology,PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, and Jiangsu Key Lab of Image and Video Understanding for Social Security,Nanjing,China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, and Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125","https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064363522","display_name":"Jianjun Qian","orcid":"https://orcid.org/0000-0002-0968-8556"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]},{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjun Qian","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology,PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, and Jiangsu Key Lab of Image and Video Understanding for Social Security,Nanjing,China","PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, and Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology,PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, and Jiangsu Key Lab of Image and Video Understanding for Social Security,Nanjing,China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, and Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125","https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100733501","display_name":"Jin Xie","orcid":"https://orcid.org/0000-0002-1268-1363"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]},{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Xie","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology,PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, and Jiangsu Key Lab of Image and Video Understanding for Social Security,Nanjing,China","PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, and Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology,PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, and Jiangsu Key Lab of Image and Video Understanding for Social Security,Nanjing,China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, and Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125","https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9899","last_page":"9904"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7854252457618713},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6720353960990906},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6035047173500061},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5842610001564026},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5840283632278442},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.574184238910675},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5445092916488647},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5293738842010498},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5251818895339966},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5099118947982788},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4840094745159149},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4402647912502289},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41933420300483704},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3553057312965393},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3220485746860504},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2689993679523468},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09033691883087158}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7854252457618713},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6720353960990906},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6035047173500061},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5842610001564026},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5840283632278442},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.574184238910675},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5445092916488647},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5293738842010498},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5251818895339966},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5099118947982788},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4840094745159149},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4402647912502289},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41933420300483704},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3553057312965393},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3220485746860504},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2689993679523468},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09033691883087158},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros47612.2022.9981603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros47612.2022.9981603","pdf_url":null,"source":{"id":"https://openalex.org/S4363607704","display_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2158131535","https://openalex.org/W2187089797","https://openalex.org/W2397830550","https://openalex.org/W2460657278","https://openalex.org/W2560609797","https://openalex.org/W2593768305","https://openalex.org/W2594519801","https://openalex.org/W2960986959","https://openalex.org/W2962793481","https://openalex.org/W2963073217","https://openalex.org/W2963125977","https://openalex.org/W2963182550","https://openalex.org/W2964159141","https://openalex.org/W2968557240","https://openalex.org/W2981199548","https://openalex.org/W2981512393","https://openalex.org/W2991216808","https://openalex.org/W2998083796","https://openalex.org/W3012200103","https://openalex.org/W3013243617","https://openalex.org/W3035338950","https://openalex.org/W3035750252","https://openalex.org/W3084053805","https://openalex.org/W3109944402","https://openalex.org/W3118644257","https://openalex.org/W3119197669","https://openalex.org/W3175269419","https://openalex.org/W3177015573","https://openalex.org/W3198790326","https://openalex.org/W3201726317","https://openalex.org/W6682962330","https://openalex.org/W6746262046"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3208297503","https://openalex.org/W3119773509","https://openalex.org/W2889153461","https://openalex.org/W2964117661","https://openalex.org/W4388405611","https://openalex.org/W2619127353","https://openalex.org/W4309346246","https://openalex.org/W2147093486"],"abstract_inverted_index":{"Unsupervised":[0],"domain":[1,36,176],"adaptation":[2,177],"for":[3],"point":[4],"cloud":[5],"semantic":[6,45,72],"segmentation":[7,159],"has":[8],"attracted":[9],"great":[10],"attention":[11],"due":[12],"to":[13,29,37,59,79,111,156,161],"its":[14],"effectiveness":[15],"in":[16,77],"learning":[17],"with":[18,98,133],"unlabeled":[19],"data.":[20],"Most":[21],"of":[22,47,147],"existing":[23],"methods":[24],"use":[25,108],"global-level":[26],"feature":[27,49,63,88,127,137],"alignment":[28,64],"transfer":[30],"the":[31,34,38,44,48,61,66,99,102,113,120,126,130,134,142,145,158,166],"knowledge":[32],"from":[33,101],"source":[35,103],"target":[39,167],"domain,":[40],"which":[41,69],"may":[42],"cause":[43],"ambiguity":[46],"space.":[50],"In":[51,105],"this":[52],"paper,":[53],"we":[54,83,107,123,140],"propose":[55],"a":[56,95,152],"graph-based":[57,135],"framework":[58],"explore":[60],"local-level":[62,81],"between":[65,129,144],"two":[67,131],"domains,":[68],"can":[70,124,183],"reserve":[71],"discrimination":[73],"during":[74],"adaptation.":[75],"Specifically,":[76],"order":[78],"extract":[80],"features,":[82],"first":[84],"dynamically":[85],"construct":[86],"local":[87,136],"graphs":[89,100],"on":[90,119,165,171],"both":[91],"domains":[92,132],"and":[93,150,174],"build":[94],"memory":[96],"bank":[97],"domain.":[104,168],"particular,":[106],"optimal":[109],"transport":[110],"generate":[112],"graph":[114],"matching":[115],"pairs.":[116],"Then,":[117],"based":[118],"assignment":[121],"matrix,":[122],"align":[125],"distributions":[128],"loss.":[138],"Furthermore,":[139],"consider":[141],"correlation":[143],"features":[146,164],"different":[148,172],"categories":[149],"formulate":[151],"category-guided":[153],"contrastive":[154],"loss":[155],"guide":[157],"model":[160],"learn":[162],"discriminative":[163],"Extensive":[169],"experiments":[170],"synthetic-to-real":[173],"real-to-real":[175],"scenarios":[178],"demonstrate":[179],"that":[180],"our":[181],"method":[182],"achieve":[184],"state-of-the-art":[185],"performance.":[186],"Our":[187],"code":[188],"is":[189],"available":[190],"at":[191],"https://github.com/BianYikai/PointUDA.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}