{"id":"https://openalex.org/W4401024924","doi":"https://doi.org/10.24963/ijcai.2024/164","title":"Aggregation and Purification: Dual Enhancement Network for Point Cloud Few-shot Segmentation","display_name":"Aggregation and Purification: Dual Enhancement Network for Point Cloud Few-shot Segmentation","publication_year":2024,"publication_date":"2024-07-26","ids":{"openalex":"https://openalex.org/W4401024924","doi":"https://doi.org/10.24963/ijcai.2024/164"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2024/164","doi":"https://doi.org/10.24963/ijcai.2024/164","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2024/164","pdf_url":"https://www.ijcai.org/proceedings/2024/0164.pdf","source":{"id":"https://openalex.org/S4306419999","display_name":"International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.ijcai.org/proceedings/2024/0164.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113630029","display_name":"Guoxin Xiong","orcid":"https://orcid.org/0009-0004-2121-1269","observed_orcids":["https://orcid.org/0009-0004-2121-1269"]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoxin Xiong","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135271462","display_name":"Yuan Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Wang","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100457035","display_name":"Zhaoyang Li","orcid":"https://orcid.org/0000-0001-9418-3087","observed_orcids":["https://orcid.org/0000-0001-9418-3087","https://orcid.org/0009-0002-6072-0870"]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoyang Li","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054606798","display_name":"Wenfei Yang","orcid":"https://orcid.org/0000-0003-3599-7659","observed_orcids":["https://orcid.org/0000-0003-3599-7659"]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenfei Yang","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100648980","display_name":"Tianzhu Zhang","orcid":"https://orcid.org/0000-0003-1856-9564","observed_orcids":["https://orcid.org/0000-0003-1856-9564"]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianzhu Zhang","raw_affiliation_strings":["Deep Space Exploration Lab","Institute of Artifcial Intelligence, Hefei Comprehensive National Science Center, China","University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deep Space Exploration Lab","institution_ids":[]},{"raw_affiliation_string":"Institute of Artifcial Intelligence, Hefei Comprehensive National Science Center, China","institution_ids":[]},{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129670451","display_name":"Xu Zhou","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu Zhou","raw_affiliation_strings":["Sangfor Technologies Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sangfor Technologies Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5152005711","display_name":"Shifeng Zhang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shifeng Zhang","raw_affiliation_strings":["Sangfor Technologies Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sangfor Technologies Inc","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046305086","display_name":"Yongdong Zhang","orcid":"https://orcid.org/0000-0002-1151-1792","observed_orcids":["https://orcid.org/0000-0002-1151-1792"]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongdong Zhang","raw_affiliation_strings":["Institute of Artifcial Intelligence, Hefei Comprehensive National Science Center, China","University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artifcial Intelligence, Hefei Comprehensive National Science Center, China","institution_ids":[]},{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6314,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70870505,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1480","last_page":"1488"},"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":0.5083000063896179,"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":0.5083000063896179,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.48829999566078186,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.002300000051036477,"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-semantic-segmentation","display_name":"point cloud semantic segmentation","score":0.8859999775886536},{"id":"https://openalex.org/keywords/few-shot-learning","display_name":"few-shot learning","score":0.828000009059906},{"id":"https://openalex.org/keywords/semantic-inconsistency","display_name":"semantic inconsistency","score":0.9570000171661377},{"id":"https://openalex.org/keywords/category-generalization","display_name":"category generalization","score":0.6850000023841858}],"concepts":[{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.7654936909675598},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.7060831785202026},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6305500268936157},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.608207106590271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5760971903800964},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5051019787788391},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4109155833721161},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39586105942726135},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37259283661842346},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.2021186649799347},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10827767848968506},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.059982746839523315},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2024/164","doi":"https://doi.org/10.24963/ijcai.2024/164","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2024/164","pdf_url":"https://www.ijcai.org/proceedings/2024/0164.pdf","source":{"id":"https://openalex.org/S4306419999","display_name":"International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2024/164","doi":"https://doi.org/10.24963/ijcai.2024/164","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2024/164","pdf_url":"https://www.ijcai.org/proceedings/2024/0164.pdf","source":{"id":"https://openalex.org/S4306419999","display_name":"International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401024924.pdf","grobid_xml":"https://content.openalex.org/works/W4401024924.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7154710299","https://openalex.org/W7115603243","https://openalex.org/W4407578066","https://openalex.org/W4410421405","https://openalex.org/W4415317155","https://openalex.org/W4411485150","https://openalex.org/W7118391218","https://openalex.org/W4387967953","https://openalex.org/W7204893225","https://openalex.org/W4404971624"],"abstract_inverted_index":{"Point":[0],"cloud":[1],"few-shot":[2],"semantic":[3,51,138],"segmentation":[4],"(PC-FSS)":[5],"aims":[6],"to":[7,32,57,71,98,128],"segment":[8],"objects":[9],"within":[10],"query":[11,108],"samples":[12],"of":[13,20,76],"new":[14],"categories":[15],"given":[16],"only":[17],"a":[18,65,80,94,118],"handful":[19],"annotated":[21],"support":[22,105],"samples.":[23],"Although":[24],"PC-FSS":[25],"demonstrates":[26],"enhanced":[27],"category":[28],"generalization":[29],"capabilities":[30],"compared":[31],"the":[33,37,58,100,104,112,122,134],"fully":[34],"supervised":[35],"paradigm,":[36],"prevalent":[38],"significant":[39],"scene":[40,77],"discrepancies,":[41],"which":[42],"can":[43],"be":[44],"systematically":[45],"summarized":[46],"into":[47],"intra-semantic":[48,113],"diversity":[49,114],"and":[50,82,107,111,144],"inconsistency,":[52],"have":[53],"posed":[54],"substantial":[55],"challenges":[56],"area.":[59],"In":[60],"this":[61],"work,":[62],"we":[63,92],"design":[64,93],"novel":[66],"Dual":[67],"Enhancement":[68],"Network":[69],"(DENet)":[70],"comprehensively":[72],"tackle":[73],"different":[74,147],"kinds":[75],"discrepancies":[78],"in":[79,117],"coherent":[81],"synergistic":[83],"framework.":[84],"The":[85],"proposed":[86],"DENet":[87,151],"enjoys":[88],"several":[89],"merits.":[90],"First,":[91],"mutual":[95],"aggregation":[96],"module":[97],"reconcile":[99],"intrinsic":[101],"tension":[102],"between":[103],"prototypes":[106],"point":[109],"features,":[110],"is":[115,126],"diminished":[116],"bidirectional":[119],"manner.":[120],"Second,":[121],"consistent":[123],"purification":[124],"strategy":[125],"introduced":[127],"eliminate":[129],"ambiguous":[130],"prototypes,":[131],"thereby":[132],"reducing":[133],"mismatches":[135],"brought":[136],"by":[137],"inconsistency.":[139],"Extensive":[140],"experiments":[141],"on":[142],"S3DIS":[143],"ScanNet":[145],"under":[146],"settings":[148],"demonstrate":[149],"that":[150],"significantly":[152],"outperforms":[153],"previous":[154],"SOTAs.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-10-26T11:51:55.731654","created_date":"2024-07-27T00:00:00"}