{"id":"https://openalex.org/W4402982577","doi":"https://doi.org/10.1109/icme57554.2024.10687489","title":"Source-Free Domain Adaptation for Point Cloud Semantic Segmentation","display_name":"Source-Free Domain Adaptation for Point Cloud Semantic Segmentation","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402982577","doi":"https://doi.org/10.1109/icme57554.2024.10687489"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10687489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10687489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","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/A5111347054","display_name":"Jianshe Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianshe Duan","raw_affiliation_strings":["Xiamen University,School of Informatics,Department of Computer Science and Technology,Fujian,China"],"affiliations":[{"raw_affiliation_string":"Xiamen University,School of Informatics,Department of Computer Science and Technology,Fujian,China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100667175","display_name":"Yachao Zhang","orcid":"https://orcid.org/0000-0002-1150-8745"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yachao Zhang","raw_affiliation_strings":["Tsinghua University,Tsinghua Shenzhen International Graduate School,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Tsinghua Shenzhen International Graduate School,Shenzhen,China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076485255","display_name":"Yanyun Qu","orcid":"https://orcid.org/0000-0002-8926-4162"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyun Qu","raw_affiliation_strings":["Xiamen University,School of Informatics,Department of Computer Science and Technology,Fujian,China"],"affiliations":[{"raw_affiliation_string":"Xiamen University,School of Informatics,Department of Computer Science and Technology,Fujian,China","institution_ids":["https://openalex.org/I75867142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111347054"],"corresponding_institution_ids":["https://openalex.org/I75867142"],"apc_list":null,"apc_paid":null,"fwci":1.6998,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.8670271,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9987999796867371,"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":0.9954000115394592,"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"}},{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9948999881744385,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7946785688400269},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6464638710021973},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.620373010635376},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5796088576316833},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5470418334007263},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5431512594223022},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5163001418113708},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4126894176006317},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2830510139465332},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.05781662464141846}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7946785688400269},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6464638710021973},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.620373010635376},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5796088576316833},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5470418334007263},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5431512594223022},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5163001418113708},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4126894176006317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2830510139465332},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.05781662464141846},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10687489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10687489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2963073217","https://openalex.org/W2963107255","https://openalex.org/W2968557240","https://openalex.org/W2969893028","https://openalex.org/W3003437478","https://openalex.org/W3034218934","https://openalex.org/W3088093295","https://openalex.org/W3120575095","https://openalex.org/W3142849873","https://openalex.org/W3172748299","https://openalex.org/W3175042385","https://openalex.org/W3192275354","https://openalex.org/W3192693288","https://openalex.org/W4220967590","https://openalex.org/W4312399508","https://openalex.org/W4312780402","https://openalex.org/W4386057716"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W3150465815","https://openalex.org/W4399442168","https://openalex.org/W2114282491","https://openalex.org/W4394775207"],"abstract_inverted_index":{"Point":[0],"cloud":[1],"semantic":[2],"segmentation":[3],"(PCSS)":[4],"is":[5],"fundamental":[6],"in":[7,39],"3D":[8],"scene":[9],"understanding.":[10],"Domain":[11],"adaptation":[12,65,87],"methods":[13,88,142],"for":[14],"PCSS":[15,66],"enable":[16],"transferring":[17],"the":[18,53,61,76,113,118,145],"knowledge":[19],"learned":[20],"from":[21,96],"a":[22,47,70,105],"labeled":[23],"source":[24,49,54,72,146],"domain":[25,30,64,78,86],"to":[26,68,75,91,111],"an":[27],"unlabeled":[28],"target":[29,77,124],"with":[31],"different":[32],"data":[33],"distributions.":[34],"However,":[35],"they":[36],"become":[37],"inapplicable":[38],"privacy-preserving":[40],"scenarios,":[41],"where":[42],"we":[43,59,103],"only":[44],"can":[45],"leverage":[46],"given":[48,71],"model":[50,73,98],"instead":[51],"of":[52],"data.":[55,147],"In":[56],"this":[57],"paper,":[58],"propose":[60],"first":[62],"source-free":[63,85],"framework":[67,110],"make":[69],"generalize":[74],"well.":[79],"We":[80],"found":[81],"existing":[82],"self-training":[83],"based":[84],"inevitably":[89],"lead":[90],"confirmation":[92],"bias":[93],"and":[94,122,138],"suffer":[95],"serious":[97],"degradation":[99],"on":[100,129],"PCSS.":[101],"Therefore,":[102],"devise":[104],"novel":[106],"Teacher-Guide":[107],"Source-Free":[108],"(TGSF)":[109],"conquer":[112],"above":[114],"two":[115],"challenges,":[116],"including":[117],"bidirectional":[119],"pseudo-label":[120],"selection":[121],"multi-level":[123],"consistency":[125],"learning.":[126],"Extensive":[127],"experiments":[128],"three":[130],"benchmarks":[131],"verify":[132],"that":[133,143],"TGSF":[134],"achieves":[135],"state-of-the-art":[136],"performance,":[137],"even":[139],"outperforms":[140],"those":[141],"access":[144]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
