{"id":"https://openalex.org/W3207432425","doi":"https://doi.org/10.3233/faia210152","title":"Benchmarking Deep Learning Models on Point Cloud Segmentation","display_name":"Benchmarking Deep Learning Models on Point Cloud Segmentation","publication_year":2021,"publication_date":"2021-10-14","ids":{"openalex":"https://openalex.org/W3207432425","doi":"https://doi.org/10.3233/faia210152","mag":"3207432425"},"language":"en","primary_location":{"id":"doi:10.3233/faia210152","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia210152","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA210152","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA210152","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021528647","display_name":"Thanasis Zoumpekas","orcid":"https://orcid.org/0000-0002-3736-1155"},"institutions":[{"id":"https://openalex.org/I71999127","display_name":"Universitat de Barcelona","ror":"https://ror.org/021018s57","country_code":"ES","type":"education","lineage":["https://openalex.org/I71999127"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Thanasis Zoumpekas","raw_affiliation_strings":["Department of Mathematics and Computer Science, University of Barcelona, Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Barcelona, Barcelona, Spain","institution_ids":["https://openalex.org/I71999127"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054216864","display_name":"Guillem Molina","orcid":null},"institutions":[{"id":"https://openalex.org/I71999127","display_name":"Universitat de Barcelona","ror":"https://ror.org/021018s57","country_code":"ES","type":"education","lineage":["https://openalex.org/I71999127"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Guillem Molina","raw_affiliation_strings":["Department of Mathematics and Computer Science, University of Barcelona, Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Barcelona, Barcelona, Spain","institution_ids":["https://openalex.org/I71999127"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051521230","display_name":"Mar\u00eda Salam\u00f3","orcid":"https://orcid.org/0000-0003-1939-8963"},"institutions":[{"id":"https://openalex.org/I71999127","display_name":"Universitat de Barcelona","ror":"https://ror.org/021018s57","country_code":"ES","type":"education","lineage":["https://openalex.org/I71999127"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Maria Salam\u00f3","raw_affiliation_strings":["Department of Mathematics and Computer Science, University of Barcelona, Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Barcelona, Barcelona, Spain","institution_ids":["https://openalex.org/I71999127"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017066840","display_name":"Anna Puig","orcid":"https://orcid.org/0000-0002-2184-2800"},"institutions":[{"id":"https://openalex.org/I71999127","display_name":"Universitat de Barcelona","ror":"https://ror.org/021018s57","country_code":"ES","type":"education","lineage":["https://openalex.org/I71999127"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Anna Puig","raw_affiliation_strings":["Department of Mathematics and Computer Science, University of Barcelona, Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Barcelona, Barcelona, Spain","institution_ids":["https://openalex.org/I71999127"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5021528647"],"corresponding_institution_ids":["https://openalex.org/I71999127"],"apc_list":null,"apc_paid":null,"fwci":5.3814,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.96299376,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.978600025177002,"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":0.978600025177002,"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":0.9736999869346619,"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":0.9679999947547913,"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":0.7962584495544434},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7653404474258423},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.7183534502983093},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7021095752716064},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6243290901184082},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.6196929216384888},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6080573201179504},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5846396684646606},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5625858306884766},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5580360293388367},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.517041027545929},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4570051431655884},{"id":"https://openalex.org/keywords/footprint","display_name":"Footprint","score":0.4440827965736389},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39602985978126526},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35673922300338745},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09168314933776855}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7962584495544434},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7653404474258423},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.7183534502983093},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7021095752716064},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6243290901184082},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.6196929216384888},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6080573201179504},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5846396684646606},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5625858306884766},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5580360293388367},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.517041027545929},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4570051431655884},{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.4440827965736389},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39602985978126526},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35673922300338745},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09168314933776855},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia210152","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia210152","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA210152","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia210152","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia210152","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA210152","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3207432425.pdf","grobid_xml":"https://content.openalex.org/works/W3207432425.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1986473362","https://openalex.org/W2553307952","https://openalex.org/W2560609797","https://openalex.org/W2804860796","https://openalex.org/W2917081331","https://openalex.org/W2963509914","https://openalex.org/W2966048283","https://openalex.org/W2976081675","https://openalex.org/W2990613095","https://openalex.org/W2995018284","https://openalex.org/W3031288689","https://openalex.org/W3039448353","https://openalex.org/W3112844079","https://openalex.org/W4249306322","https://openalex.org/W4394671432"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W3137434606","https://openalex.org/W4372263373"],"abstract_inverted_index":{"Point":[0],"clouds":[1,23],"are":[2,127],"currently":[3],"used":[4],"for":[5,133,146,209],"a":[6,26,70,111,118],"variety":[7],"of":[8,21,59,81,107,114,121,157,214],"applications,":[9],"such":[10,171,177],"as":[11,172,178],"detection":[12],"tasks":[13,200],"in":[14,94,198,212],"medical":[15],"and":[16,30,66,104,117,150,174,181,187,216],"geological":[17],"domains.":[18],"Intelligent":[19],"analysis":[20],"point":[22,51,74],"is":[24,55],"considered":[25],"highly":[27],"computationally":[28],"demanding":[29],"challenging":[31],"task,":[32],"especially":[33],"the":[34,38,79,82,88,92,101,108,155,194,205],"segmentation":[35,76,148,199],"task":[36,149],"among":[37],"points.":[39],"Although":[40],"numerous":[41],"deep":[42,143],"learning":[43,144],"models":[44,84,109,145],"have":[45],"recently":[46],"been":[47],"proposed":[48],"to":[49,64,96,130,203],"segment":[50],"cloud":[52,75],"data,":[53],"there":[54],"no":[56],"clear":[57],"instruction":[58],"which":[60,192],"exactly":[61],"neural":[62],"network":[63],"utilize":[65],"then":[67],"incorporate":[68],"into":[69,154],"system":[71],"dealing":[72],"with":[73,132],"analysis.":[77],"Besides,":[78],"majority":[80],"developed":[83],"emphasize":[85],"more":[86],"on":[87,164],"accuracy":[89,215],"rather":[90],"than":[91],"efficiency,":[93],"order":[95],"achieve":[97],"great":[98,112],"results.":[99],"Consequently,":[100],"training,":[102],"validation":[103],"testing":[105],"phases":[106],"require":[110],"number":[113],"processing":[115],"hours":[116],"huge":[119],"amount":[120],"memory.":[122],"These":[123],"high":[124],"computational":[125],"requirements":[126],"commonly":[128],"difficult":[129],"deal":[131],"many":[134],"users.":[135],"In":[136],"this":[137],"article,":[138],"we":[139],"analyse":[140,188],"five":[141],"state-of-the-art":[142],"part":[147],"give":[151],"meaningful":[152],"insights":[153],"utilization":[156],"each":[158],"one.":[159],"We":[160,184],"advance":[161],"guidelines":[162],"based":[163],"different":[165],"properties,":[166],"considering":[167],"both":[168],"learning-related":[169],"metrics,":[170,176,191],"accuracy,":[173],"system-related":[175],"run":[179],"time":[180],"memory":[182],"footprint.":[183],"further":[185],"propose":[186],"generalized":[189],"performance":[190],"facilitate":[193],"model":[195],"evaluation":[196],"phase":[197],"allowing":[201],"users":[202],"select":[204],"most":[206],"appropriate":[207],"approach":[208],"their":[210],"context":[211],"terms":[213],"efficiency.":[217]},"counts_by_year":[{"year":2022,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}