{"id":"https://openalex.org/W2967807356","doi":"https://doi.org/10.1109/icpr48806.2021.9412875","title":"PS2-Net: A Locally and Globally Aware Network for Point-Based Semantic Segmentation","display_name":"PS2-Net: A Locally and Globally Aware Network for Point-Based Semantic Segmentation","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W2967807356","doi":"https://doi.org/10.1109/icpr48806.2021.9412875","mag":"2967807356"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9412875","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412875","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.1908.05425","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101887026","display_name":"Na Zhao","orcid":"https://orcid.org/0000-0003-2329-7014"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Na Zhao","raw_affiliation_strings":["National University of Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089404640","display_name":"Tat\u2010Seng Chua","orcid":"https://orcid.org/0000-0001-6097-7807"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tat-Seng Chua","raw_affiliation_strings":["National University of Singapore","National University of Singapore,"],"affiliations":[{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"National University of Singapore,","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071967339","display_name":"Gim Hee Lee","orcid":"https://orcid.org/0000-0002-1583-0475"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Gim Hee Lee","raw_affiliation_strings":["National University of Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101887026"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":0.19604694,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41027156,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"723","last_page":"730"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998999834060669,"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":0.9998999834060669,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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":0.9991000294685364,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7564241886138916},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7517139911651611},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7245630025863647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5822456479072571},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.5803002119064331},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5757678747177124},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5261261463165283},{"id":"https://openalex.org/keywords/permutation","display_name":"Permutation (music)","score":0.5194165706634521},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.46615302562713623},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.44265109300613403},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.44256874918937683},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41342881321907043},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3974943161010742},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3550567626953125},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14821821451187134},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12150949239730835}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7564241886138916},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7517139911651611},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7245630025863647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5822456479072571},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.5803002119064331},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5757678747177124},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5261261463165283},{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.5194165706634521},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.46615302562713623},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.44265109300613403},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.44256874918937683},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41342881321907043},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3974943161010742},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3550567626953125},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14821821451187134},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12150949239730835},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr48806.2021.9412875","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412875","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"doi:10.48550/arxiv.1908.05425","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1908.05425","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.48550/arxiv.1908.05425","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1908.05425","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1644641054","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1920022804","https://openalex.org/W2179042386","https://openalex.org/W2211722331","https://openalex.org/W2412782625","https://openalex.org/W2460657278","https://openalex.org/W2511691466","https://openalex.org/W2518780089","https://openalex.org/W2560609797","https://openalex.org/W2565662353","https://openalex.org/W2594519801","https://openalex.org/W2614059183","https://openalex.org/W2753798143","https://openalex.org/W2769473888","https://openalex.org/W2770046775","https://openalex.org/W2775216572","https://openalex.org/W2796288287","https://openalex.org/W2895472109","https://openalex.org/W2902302021","https://openalex.org/W2950493473","https://openalex.org/W2951019013","https://openalex.org/W2963053547","https://openalex.org/W2963121255","https://openalex.org/W2963150697","https://openalex.org/W2963226018","https://openalex.org/W2963281829","https://openalex.org/W2963517242","https://openalex.org/W2963708168","https://openalex.org/W2963881378","https://openalex.org/W2979750740","https://openalex.org/W3103830808","https://openalex.org/W6639824700","https://openalex.org/W6640300118","https://openalex.org/W6739778489","https://openalex.org/W6744580074","https://openalex.org/W6747904511","https://openalex.org/W6763422710"],"related_works":["https://openalex.org/W3125648170","https://openalex.org/W2944926369","https://openalex.org/W198174342","https://openalex.org/W2972579614","https://openalex.org/W3108186749","https://openalex.org/W2393319904","https://openalex.org/W3184983428","https://openalex.org/W3168117896","https://openalex.org/W2767117938","https://openalex.org/W3088028524","https://openalex.org/W2977613334","https://openalex.org/W3192567420","https://openalex.org/W3003317224","https://openalex.org/W3199352295","https://openalex.org/W2751932958","https://openalex.org/W2808771744","https://openalex.org/W2965744772","https://openalex.org/W2962793312","https://openalex.org/W3001510267","https://openalex.org/W3192625499"],"abstract_inverted_index":{"In":[0,24],"this":[1],"paper,":[2],"we":[3],"present":[4],"the":[5,115],"PS^2-Net":[6,86],"--":[7],"a":[8],"locally":[9],"and":[10,31,60,133],"globally":[11],"aware":[12],"deep":[13,100],"learning":[14],"framework":[15],"for":[16,71],"semantic":[17,74],"segmentation":[18,75],"on":[19,43,126],"3D":[20,36,129],"scene-level":[21],"point":[22,106],"clouds.":[23,107],"order":[25],"to":[26,34,89,103,113,140,146],"deeply":[27],"incorporate":[28],"local":[29,58],"structures":[30,59],"global":[32,64],"context":[33],"support":[35],"scene":[37,73,131],"segmentation,":[38],"our":[39,85,120,136],"network":[40,101],"is":[41,87,94,138],"built":[42],"four":[44],"repeatedly":[45],"stacked":[46],"encoders,":[47],"where":[48],"each":[49],"encoder":[50],"has":[51],"two":[52,127],"basic":[53],"components:":[54],"EdgeConv":[55],"that":[56,62,76,135],"captures":[57],"NetVLAD":[61],"models":[63],"context.":[65],"Different":[66],"from":[67],"existing":[68,147],"start-of-the-art":[69],"methods":[70],"point-based":[72],"either":[77],"violate":[78],"or":[79],"do":[80],"not":[81],"achieve":[82,141],"permutation":[83,91,116],"invariance,":[84],"designed":[88],"be":[90],"invariant":[92],"which":[93],"an":[95],"essential":[96],"property":[97,118],"of":[98,119],"any":[99],"used":[102],"process":[104],"unordered":[105],"We":[108,122],"further":[109],"provide":[110],"theoretical":[111],"proof":[112],"guarantee":[114],"invariance":[117],"network.":[121],"perform":[123],"extensive":[124],"experiments":[125],"large-scale":[128],"indoor":[130],"datasets":[132],"demonstrate":[134],"PS2-Net":[137],"able":[139],"state-of-the-art":[142],"performances":[143],"as":[144],"compared":[145],"approaches.":[148]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2019-08-22T00:00:00"}
