{"id":"https://openalex.org/W4293193384","doi":"https://doi.org/10.1109/tgrs.2022.3171038","title":"DFAN: Dual-Branch Feature Alignment Network for Domain Adaptation on Point Clouds","display_name":"DFAN: Dual-Branch Feature Alignment Network for Domain Adaptation on Point Clouds","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4293193384","doi":"https://doi.org/10.1109/tgrs.2022.3171038"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3171038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3171038","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","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/A5028410555","display_name":"Liangwei Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangwei Shi","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016848462","display_name":"Zhimin Yuan","orcid":"https://orcid.org/0000-0003-4587-8370"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhimin Yuan","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100767934","display_name":"Ming Cheng","orcid":"https://orcid.org/0000-0001-6480-6482"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Cheng","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0001-6480-6482","affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374691","display_name":"Yiping Chen","orcid":"https://orcid.org/0000-0003-1465-6599"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiping Chen","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0003-1465-6599","affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100416961","display_name":"Cheng Wang","orcid":"https://orcid.org/0000-0001-6075-796X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Wang","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0001-6075-796X","affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":1.804,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.87331775,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"12"},"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":0.9995999932289124,"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":0.9995999932289124,"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":0.9944999814033508,"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":0.9940000176429749,"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/computer-science","display_name":"Computer science","score":0.8173110485076904},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7038351893424988},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6523193120956421},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.621059775352478},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5575620532035828},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5035077929496765},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4931721091270447},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.49302026629447937},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42681872844696045},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07858380675315857}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8173110485076904},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7038351893424988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6523193120956421},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.621059775352478},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5575620532035828},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5035077929496765},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4931721091270447},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.49302026629447937},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42681872844696045},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07858380675315857},{"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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3171038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3171038","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8213514177","display_name":null,"funder_award_id":"2021M690094","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1959608418","https://openalex.org/W2022394120","https://openalex.org/W2104094955","https://openalex.org/W2114948626","https://openalex.org/W2131953535","https://openalex.org/W2164943005","https://openalex.org/W2312004824","https://openalex.org/W2330711204","https://openalex.org/W2395466322","https://openalex.org/W2560609797","https://openalex.org/W2594519801","https://openalex.org/W2737081152","https://openalex.org/W2786808285","https://openalex.org/W2796426482","https://openalex.org/W2803937221","https://openalex.org/W2889945482","https://openalex.org/W2960986959","https://openalex.org/W2962687275","https://openalex.org/W2963000559","https://openalex.org/W2963532621","https://openalex.org/W2964159141","https://openalex.org/W2964257316","https://openalex.org/W2968557240","https://openalex.org/W2979750740","https://openalex.org/W2990613095","https://openalex.org/W2991405316","https://openalex.org/W2998115938","https://openalex.org/W3012200103","https://openalex.org/W3034331889","https://openalex.org/W3034459762","https://openalex.org/W3035750252","https://openalex.org/W3039448353","https://openalex.org/W3118644257","https://openalex.org/W3137525302","https://openalex.org/W3155520036","https://openalex.org/W3175269419","https://openalex.org/W3177015573","https://openalex.org/W3196813118","https://openalex.org/W3215896291","https://openalex.org/W4242710771","https://openalex.org/W4394671432","https://openalex.org/W6640963894","https://openalex.org/W6687484953","https://openalex.org/W6730323794","https://openalex.org/W6735050833","https://openalex.org/W6739778489","https://openalex.org/W6746262046","https://openalex.org/W6751635369","https://openalex.org/W6763103765","https://openalex.org/W6767325187","https://openalex.org/W6793793559","https://openalex.org/W6800446943"],"related_works":["https://openalex.org/W2517104666","https://openalex.org/W2005437358","https://openalex.org/W1669643531","https://openalex.org/W2039154422","https://openalex.org/W4310007291","https://openalex.org/W2556085923","https://openalex.org/W2546942002","https://openalex.org/W2534909612","https://openalex.org/W2016461833","https://openalex.org/W3197541072"],"abstract_inverted_index":{"Unsupervised":[0],"domain":[1,11,15,38,91],"adaptation":[2,39,92],"(UDA)":[3],"significantly":[4],"reduces":[5],"the":[6,9,13,101,113,154,167,180,183,187],"gap":[7],"between":[8],"source":[10],"and":[12,19,30,32,70,106,115,119,143,156,173,186],"target":[14],"in":[16,58,112,125],"machine":[17],"learning":[18],"computer":[20,42],"vision":[21,43],"tasks.":[22,175],"Most":[23],"UDA":[24,47,168],"approaches":[25,48],"are":[26],"applied":[27],"to":[28,54,98,128],"images":[29],"videos,":[31],"only":[33],"a":[34,72,82,135,144],"few":[35],"methods":[36],"implement":[37],"on":[40,50,93,153,166],"3-D":[41],"problems.":[44],"The":[45,176],"existing":[46],"operating":[49],"point":[51,94,170],"clouds":[52],"try":[53],"extract":[55],"domain-invariant":[56],"features":[57,121],"different":[59,123],"domains":[60],"for":[61,90,139,148],"feature":[62,85,141,150,188],"alignment.":[63,151],"However,":[64],"higher":[65],"commonality":[66],"brings":[67],"less":[68],"diversity":[69],"results":[71],"loss":[73],"of":[74,104,117,169,182],"detailed":[75],"information.":[76],"In":[77],"this":[78],"article,":[79],"we":[80],"propose":[81],"novel":[83],"dual-branch":[84,184],"alignment":[86,116,137,142,146,189],"network":[87],"(DFAN)":[88],"architecture":[89],"cloud":[95,171],"visual":[96],"tasks":[97],"better":[99],"exploit":[100],"respective":[102],"characteristics":[103],"local":[105,120,140],"global":[107,118,149],"features.":[108],"Our":[109],"approach":[110,162],"specializes":[111],"extraction":[114],"with":[122],"strategies":[124],"each":[126,130],"branch":[127],"complement":[129],"other.":[131],"We":[132],"also":[133],"introduce":[134],"hierarchical":[136],"strategy":[138,147],"distribution":[145],"Experiments":[152],"PointDA-10":[155],"PointSegDA":[157],"datasets":[158],"show":[159],"that":[160],"our":[161],"achieves":[163],"state-of-the-art":[164],"performance":[165],"classification":[172],"segmentation":[174],"ablation":[177],"study":[178],"demonstrates":[179],"effectiveness":[181],"design":[185],"strategies.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}