{"id":"https://openalex.org/W4388878453","doi":"https://doi.org/10.1109/jstars.2023.3335300","title":"Multiscale Adjacency Matrix CNN: Learning on Multispectral LiDAR Point Cloud via Multiscale Local Graph Convolution","display_name":"Multiscale Adjacency Matrix CNN: Learning on Multispectral LiDAR Point Cloud via Multiscale Local Graph Convolution","publication_year":2023,"publication_date":"2023-11-21","ids":{"openalex":"https://openalex.org/W4388878453","doi":"https://doi.org/10.1109/jstars.2023.3335300"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2023.3335300","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3335300","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10324310.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10324310.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101416466","display_name":"Jian Yang","orcid":"https://orcid.org/0000-0003-3621-4169"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Yang","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-3621-4169","affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074572002","display_name":"Binhan Luo","orcid":"https://orcid.org/0000-0001-7575-4892"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binhan Luo","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-7575-4892","affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101675702","display_name":"Ruilin Gan","orcid":"https://orcid.org/0009-0000-9243-6095"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruilin Gan","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0000-9243-6095","affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086294753","display_name":"Ao Wang","orcid":"https://orcid.org/0000-0003-0030-551X"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ao Wang","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101561842","display_name":"Shuo Shi","orcid":"https://orcid.org/0000-0003-0008-3443"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Shi","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-0008-3443","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]},{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101809003","display_name":"Lin Du","orcid":"https://orcid.org/0000-0002-4789-6073"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Du","raw_affiliation_strings":["School of Geography and Information Engineering, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-4789-6073","affiliations":[{"raw_affiliation_string":"School of Geography and Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":1.2853,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.76715607,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"17","issue":null,"first_page":"855","last_page":"870"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9973000288009644,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.994700014591217,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7035900354385376},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.6883243918418884},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.6646757125854492},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6342090964317322},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.6095715761184692},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.5478111505508423},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5337473154067993},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5189535617828369},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4836955666542053},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4558209180831909},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.36438584327697754},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35084807872772217},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3324733376502991},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16782605648040771},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1592700481414795},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13595795631408691},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10103332996368408}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7035900354385376},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.6883243918418884},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.6646757125854492},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6342090964317322},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.6095715761184692},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.5478111505508423},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5337473154067993},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5189535617828369},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4836955666542053},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4558209180831909},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.36438584327697754},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35084807872772217},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3324733376502991},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16782605648040771},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1592700481414795},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13595795631408691},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10103332996368408},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2023.3335300","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3335300","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10324310.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c3fc6ed8b9d8407c869203220759f2d9","is_oa":true,"landing_page_url":"https://doaj.org/article/c3fc6ed8b9d8407c869203220759f2d9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 855-870 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2023.3335300","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3335300","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10324310.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1003095982","display_name":null,"funder_award_id":"42171347","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1022693224","display_name":null,"funder_award_id":"42271388","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G281635164","display_name":null,"funder_award_id":"Grant No. 2042022kf1200","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4468597138","display_name":null,"funder_award_id":"41801268","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5953414245","display_name":null,"funder_award_id":"2042022kf1200","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326938","display_name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing","ror":"https://ror.org/02bpap860"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388878453.pdf","grobid_xml":"https://content.openalex.org/works/W4388878453.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W1644641054","https://openalex.org/W1916388061","https://openalex.org/W2053154970","https://openalex.org/W2084468773","https://openalex.org/W2460657278","https://openalex.org/W2555624569","https://openalex.org/W2556802233","https://openalex.org/W2560609797","https://openalex.org/W2606520626","https://openalex.org/W2608675201","https://openalex.org/W2611819392","https://openalex.org/W2724542434","https://openalex.org/W2770046775","https://openalex.org/W2794321690","https://openalex.org/W2798270772","https://openalex.org/W2798777114","https://openalex.org/W2799162093","https://openalex.org/W2810641456","https://openalex.org/W2896196878","https://openalex.org/W2903414915","https://openalex.org/W2907492528","https://openalex.org/W2913109850","https://openalex.org/W2949381166","https://openalex.org/W2962731536","https://openalex.org/W2963046274","https://openalex.org/W2963719584","https://openalex.org/W2963727135","https://openalex.org/W2964342398","https://openalex.org/W2968474279","https://openalex.org/W2979750740","https://openalex.org/W2981199548","https://openalex.org/W2998083489","https://openalex.org/W3012494314","https://openalex.org/W3015248322","https://openalex.org/W3025802147","https://openalex.org/W3034239841","https://openalex.org/W3035541121","https://openalex.org/W3084505175","https://openalex.org/W3090082674","https://openalex.org/W3103830808","https://openalex.org/W3111535274","https://openalex.org/W3132888871","https://openalex.org/W3153465022","https://openalex.org/W3205684057","https://openalex.org/W3215645447","https://openalex.org/W4206184407","https://openalex.org/W4206697475","https://openalex.org/W4207072246","https://openalex.org/W4213441280","https://openalex.org/W4214521144","https://openalex.org/W4214755140","https://openalex.org/W4220967590","https://openalex.org/W4317553477","https://openalex.org/W6631190155","https://openalex.org/W6729001083","https://openalex.org/W6739778489","https://openalex.org/W6739901393","https://openalex.org/W6753266022"],"related_works":["https://openalex.org/W4213150077","https://openalex.org/W2369410163","https://openalex.org/W2059018062","https://openalex.org/W2604585036","https://openalex.org/W2078477160","https://openalex.org/W1989103179","https://openalex.org/W1991172810","https://openalex.org/W125803343","https://openalex.org/W2153421018","https://openalex.org/W2117632582"],"abstract_inverted_index":{"Multispectral":[0],"LiDAR":[1,40,86,192],"can":[2],"rapidly":[3],"acquire":[4],"3D":[5],"and":[6,51,110,128,147,167,203,225],"spectral":[7,52],"information":[8],"of":[9,23,49,140,151,159,201,209,223,230],"objects,":[10],"providing":[11],"richer":[12],"features":[13,34,127,139,150],"for":[14,69,84],"point":[15,29,41,87,106,153,193],"cloud":[16,30,42,88,154,194],"semantic":[17,138,173],"segmentation.":[18,89,239],"Despite":[19],"the":[20,46,56,91,105,137,152,157,168,179,184,232],"remarkable":[21],"performance":[22,196,237],"existing":[24],"graph":[25],"neural":[26,161],"networks":[27,162],"in":[28,38,163,171,238],"segmentation,":[31],"extracting":[32,64],"local":[33,66,112,125,148,164],"still":[35],"poses":[36],"challenges":[37],"multispectral":[39,85,191],"scenes":[43],"due":[44],"to":[45,102,123,134,212],"uneven":[47],"distribution":[48],"geometric":[50,113,126],"information.":[53],"To":[54],"address":[55],"prevailing":[57],"challenges,":[58],"cutting-edge":[59],"research":[60],"predominantly":[61],"focuses":[62],"on":[63,178],"multi-scale":[65,117],"features,":[67],"compensating":[68],"feature":[70,118,165,174],"extraction":[71,119],"shortcomings.":[72],"Thus,":[73],"we":[74],"propose":[75],"a":[76,93,116,130,189,204],"Multi-Scale":[77],"Adjacency":[78,95],"Matrix":[79,96],"Convolutional":[80],"Neural":[81],"Network":[82],"(MS-AMCNN)":[83],"In":[90],"MS-AMCNN,":[92],"Local":[94],"Convolution":[97],"Module":[98,133],"was":[99,121],"first":[100],"proposed":[101,185,233],"efficiently":[103],"leverage":[104],"cloud's":[107],"topological":[108],"relationships":[109],"perceive":[111],"features.":[114],"Subsequently,":[115],"architecture":[120],"adopted":[122],"fuse":[124],"utilize":[129],"Global":[131],"Self-Attention":[132],"globally":[135],"model":[136],"multi-scale.":[141],"The":[142],"network":[143,187],"effectively":[144],"captures":[145],"global":[146,172],"representative":[149],"by":[155],"harnessing":[156],"capabilities":[158],"convolutional":[160],"modeling":[166],"self-attention":[169],"mechanism":[170],"learning.":[175],"Experimental":[176],"results":[177],"Titan":[180],"dataset":[181],"demonstrate":[182],"that":[183],"MS-AMCNN":[186],"achieves":[188,235],"promising":[190],"segmentation":[195],"with":[197,227],"an":[198,221,228],"overall":[199],"accuracy":[200],"94.39%":[202],"Mean":[205],"Intersection":[206],"over":[207],"Union(MIoU)":[208],"86.57%.":[210],"Compared":[211],"other":[213],"state-of-the-art":[214],"methods,":[215],"such":[216],"as":[217],"DGCNN,":[218],"which":[219],"achieved":[220],"MIoU":[222,229],"85.43%,":[224],"RandLA-net,":[226],"85.20%,":[231],"approach":[234],"optimal":[236]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
