{"id":"https://openalex.org/W4400947531","doi":"https://doi.org/10.1145/3672919.3672948","title":"Layout Point cloud local parallel attention feature learning network with enhanced spatial features","display_name":"Layout Point cloud local parallel attention feature learning network with enhanced spatial features","publication_year":2024,"publication_date":"2024-03-01","ids":{"openalex":"https://openalex.org/W4400947531","doi":"https://doi.org/10.1145/3672919.3672948"},"language":"en","primary_location":{"id":"doi:10.1145/3672919.3672948","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3672919.3672948","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd International Conference on Cyber Security, Artificial Intelligence and Digital Economy","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":null,"display_name":"Xingfeng Li","orcid":"https://orcid.org/0009-0004-3854-297X"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xingfeng Li","raw_affiliation_strings":["School of Artificial Intelligence and Data Science, Hebei University of Technology, China"],"raw_orcid":"https://orcid.org/0009-0004-3854-297X","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Data Science, Hebei University of Technology, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101337675","display_name":"Yue Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Dong","raw_affiliation_strings":["School of Artificial Intelligence and Data Science, Hebei University of Technology, China"],"raw_orcid":"https://orcid.org/0009-0009-4372-5275","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Data Science, Hebei University of Technology, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108139198","display_name":"Hua He","orcid":null},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua He","raw_affiliation_strings":["School of Science Science, Hebei University of Technology, China"],"raw_orcid":"https://orcid.org/0009-0001-3506-0324","affiliations":[{"raw_affiliation_string":"School of Science Science, Hebei University of Technology, China","institution_ids":["https://openalex.org/I184843921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I184843921"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10205078,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"148","last_page":"152"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9491999745368958,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9491999745368958,"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/T12676","display_name":"Machine Learning and ELM","score":0.9401000142097473,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9309999942779541,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7579212188720703},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6696286201477051},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6612709760665894},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6078479886054993},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4966502785682678},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49072062969207764},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3465212285518646},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07265716791152954}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7579212188720703},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6696286201477051},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6612709760665894},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6078479886054993},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4966502785682678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49072062969207764},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3465212285518646},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07265716791152954},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3672919.3672948","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3672919.3672948","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd International Conference on Cyber Security, Artificial Intelligence and Digital Economy","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"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/W4282934273","https://openalex.org/W4386159726","https://openalex.org/W39961996"],"abstract_inverted_index":{"In":[0,163],"The":[1,211,218,222,250],"global":[2,88,100,187,198],"point":[3,30,47,60,77,138,160,257,265],"cloud":[4,31,48,61,78,161,258],"feature":[5,32,65,79,103,127,157,171,178,209],"extraction":[6,104],"method":[7],"lacks":[8],"hierarchy":[9],"and":[10,38,44,73,87,139,154,207,242,247],"is":[11,173],"difficult":[12],"to":[13,23,53,97,189],"learn":[14],"features":[15,86,116,123,134],"at":[16,105],"different":[17],"scales,":[18],"which":[19,194],"limits":[20],"its":[21,99],"ability":[22,147],"extract":[24],"local":[25,29,62,85,120],"features.":[26,89],"However,":[27],"for":[28,239],"processing":[33],"based":[34],"on":[35,110],"progressive":[36],"sampling":[37],"grouping":[39],"strategy,":[40],"the":[41,106,126,131,136,146,150,180,184,226,233,237,254],"irregular":[42],"distribution":[43,153],"permutation":[45],"of":[46,135,148,159,225,236,256,264],"will":[49],"bring":[50],"great":[51],"challenges":[52],"algorithm":[54],"design.":[55],"This":[56],"paper":[57],"proposes":[58],"a":[59,164,167,205],"parallel":[63,95],"attention":[64],"learning":[66,80],"network":[67,91,182,251],"with":[68,176],"enhanced":[69],"spatial":[70,151],"display":[71],"features,":[72,193],"constructs":[74],"an":[75],"efficient":[76,261],"network(LPA)":[81],"that":[82],"can":[83],"aggregate":[84],"LPA":[90,181],"only":[92,196],"uses":[93,183],"Transformer":[94],"module":[96],"capture":[98],"information":[101,158,188],"during":[102],"top":[107],"level.":[108],"Based":[109],"traditional":[111],"dynamic":[112],"graph":[113,121],"convolution,":[114],"superficial":[115],"are":[117],"learned":[118],"from":[119,215],"convolution":[122],"by":[124],"using":[125],"differences":[128],"expressed":[129],"in":[130,142],"geometric":[132,155],"space":[133],"center":[137],"neighboring":[140],"points":[141],"series.":[143],"Effectively":[144],"improve":[145],"extracting":[149],"relative":[152],"distance":[156],"objects.":[162],"top-down":[165],"approach,":[166],"globally":[168],"centrally":[169],"regulated":[170],"pyramid":[172],"proposed.":[174],"Compared":[175],"existing":[177],"pyramids,":[179],"deepest":[185],"explicit":[186],"regulate":[190],"frontend":[191],"shallow":[192],"not":[195],"captures":[197],"long-distance":[199],"dependence,":[200],"but":[201],"also":[202],"efficiently":[203],"gets":[204],"comprehensive":[206],"differentiated":[208],"representation.":[210],"model":[212,227,238],"was":[213],"evaluated":[214],"multiple":[216],"tasks.":[217],"results":[219],"show":[220],"that:":[221],"OA":[223],"value":[224,235],"shape":[228],"classification":[229],"reaches":[230,245],"0.93,":[231],"while":[232],"mIoU":[234],"parts":[240],"segmentation":[241,244,263],"semantic":[243,262],"0.853":[246],"0.721,":[248],"respectively.":[249],"effectively":[252],"improves":[253],"accuracy":[255],"segmentation.":[259],"Realize":[260],"cloud.":[266]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
