{"id":"https://openalex.org/W4388765830","doi":"https://doi.org/10.3934/era.2023373","title":"A feature fusion-based attention graph convolutional network for 3D classification and segmentation","display_name":"A feature fusion-based attention graph convolutional network for 3D classification and segmentation","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4388765830","doi":"https://doi.org/10.3934/era.2023373"},"language":"en","primary_location":{"id":"doi:10.3934/era.2023373","doi":"https://doi.org/10.3934/era.2023373","is_oa":true,"landing_page_url":"https://doi.org/10.3934/era.2023373","pdf_url":"http://www.aimspress.com/aimspress-data/era/2023/12/PDF/era-31-12-373.pdf","source":{"id":"https://openalex.org/S4210240239","display_name":"Electronic Research Archive","issn_l":"2688-1594","issn":["2688-1594"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","oarl","poland-20","russia-white-list-1"],"host_organization":"https://openalex.org/P4310315844","host_organization_name":"American Institute of Mathematical Sciences","host_organization_lineage":["https://openalex.org/P4310315844"],"host_organization_lineage_names":["American Institute of Mathematical Sciences"],"type":"journal"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Research Archive","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://www.aimspress.com/aimspress-data/era/2023/12/PDF/era-31-12-373.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102211594","display_name":"Chengyong Yang","orcid":"https://orcid.org/0009-0004-7541-5830","observed_orcids":["https://orcid.org/0009-0004-7541-5830"]},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengyong Yang","raw_affiliation_strings":["Network and Information Center, Guilin University of Technology, Guangxi 541006, China","School of Information Science and Engineering, Guilin University of Technology, Guangxi 541006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Network and Information Center, Guilin University of Technology, Guangxi 541006, China","institution_ids":["https://openalex.org/I38706770"]},{"raw_affiliation_string":"School of Information Science and Engineering, Guilin University of Technology, Guangxi 541006, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440147","display_name":"Jie Wang","orcid":"https://orcid.org/0000-0002-9819-5445","observed_orcids":["https://orcid.org/0000-0002-9819-5445"]},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Wang","raw_affiliation_strings":["School of Information Science and Engineering, Guilin University of Technology, Guangxi 541006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Guilin University of Technology, Guangxi 541006, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063234459","display_name":"Shiwei Wei","orcid":"https://orcid.org/0000-0002-2324-4791","observed_orcids":["https://orcid.org/0000-0002-2324-4791"]},"institutions":[{"id":"https://openalex.org/I3129996945","display_name":"Guilin University of Aerospace Technology","ror":"https://ror.org/00h1gc758","country_code":"CN","type":"education","lineage":["https://openalex.org/I3129996945"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiwei Wei","raw_affiliation_strings":["School of Computer Science and Engineering, Guilin University of Aerospace Technology, Guangxi 541004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Guilin University of Aerospace Technology, Guangxi 541004, China","institution_ids":["https://openalex.org/I3129996945"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xiukang Yu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I3129996945","display_name":"Guilin University of Aerospace Technology","ror":"https://ror.org/00h1gc758","country_code":"CN","type":"education","lineage":["https://openalex.org/I3129996945"]},{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiukang Yu","raw_affiliation_strings":["School of Information Science and Engineering, Guilin University of Technology, Guangxi 541006, China","Network and Information Center, Guilin University of Technology, Guangxi 541006, China","School of Computer Science and Engineering, Guilin University of Aerospace Technology, Guangxi 541004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Guilin University of Technology, Guangxi 541006, China","institution_ids":["https://openalex.org/I38706770"]},{"raw_affiliation_string":"Network and Information Center, Guilin University of Technology, Guangxi 541006, China","institution_ids":["https://openalex.org/I38706770"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Guilin University of Aerospace Technology, Guangxi 541004, China","institution_ids":["https://openalex.org/I3129996945"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3129996945","https://openalex.org/I38706770"],"apc_list":{"value":1000,"currency":"USD","value_usd":1000},"apc_paid":{"value":1000,"currency":"USD","value_usd":1000},"fwci":0.5839,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70200205,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":"31","issue":"12","first_page":"7365","last_page":"7384"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9984999895095825,"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":0.0012000000569969416,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":9.999999747378752e-05,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud-classification","display_name":"point cloud classification","score":0.9169999957084656},{"id":"https://openalex.org/keywords/point-cloud-segmentation","display_name":"point cloud segmentation","score":0.9480000138282776},{"id":"https://openalex.org/keywords/feature-fusion","display_name":"feature fusion","score":0.996999979019165},{"id":"https://openalex.org/keywords/error-feedback","display_name":"error feedback","score":0.890999972820282},{"id":"https://openalex.org/keywords/3d-object-classification","display_name":"3D object classification","score":0.7300000190734863},{"id":"https://openalex.org/keywords/part-segmentation","display_name":"part segmentation","score":0.7149999737739563},{"id":"https://openalex.org/keywords/modelnet40","display_name":"ModelNet40","score":0.8510000109672546},{"id":"https://openalex.org/keywords/shapenet","display_name":"ShapeNet","score":0.9990000128746033}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7382398843765259},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7194644808769226},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6255928874015808},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5862818360328674},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5799415707588196},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5498625040054321},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5427480340003967},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.46373167634010315},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4392824172973633},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4389791786670685},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3213229477405548},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1341533064842224},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3934/era.2023373","doi":"https://doi.org/10.3934/era.2023373","is_oa":true,"landing_page_url":"https://doi.org/10.3934/era.2023373","pdf_url":"http://www.aimspress.com/aimspress-data/era/2023/12/PDF/era-31-12-373.pdf","source":{"id":"https://openalex.org/S4210240239","display_name":"Electronic Research Archive","issn_l":"2688-1594","issn":["2688-1594"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","oarl","poland-20","russia-white-list-1"],"host_organization":"https://openalex.org/P4310315844","host_organization_name":"American Institute of Mathematical Sciences","host_organization_lineage":["https://openalex.org/P4310315844"],"host_organization_lineage_names":["American Institute of Mathematical Sciences"],"type":"journal"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Research Archive","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:dcc979ceebe0469e9b6848e5c15ef3e8","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/dcc979ceebe0469e9b6848e5c15ef3e8","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,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electronic Research Archive, Vol 31, Iss 12, Pp 7365-7384 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3934/era.2023373","doi":"https://doi.org/10.3934/era.2023373","is_oa":true,"landing_page_url":"https://doi.org/10.3934/era.2023373","pdf_url":"http://www.aimspress.com/aimspress-data/era/2023/12/PDF/era-31-12-373.pdf","source":{"id":"https://openalex.org/S4210240239","display_name":"Electronic Research Archive","issn_l":"2688-1594","issn":["2688-1594"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","oarl","poland-20","russia-white-list-1"],"host_organization":"https://openalex.org/P4310315844","host_organization_name":"American Institute of Mathematical Sciences","host_organization_lineage":["https://openalex.org/P4310315844"],"host_organization_lineage_names":["American Institute of Mathematical Sciences"],"type":"journal"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Research Archive","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G3508652886","display_name":null,"funder_award_id":"XJ21KT21","funder_id":"https://openalex.org/F4320327661","funder_display_name":"Guilin University of Aerospace Technology"},{"id":"https://openalex.org/G8334618767","display_name":null,"funder_award_id":"62362016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327661","display_name":"Guilin University of Aerospace Technology","ror":"https://ror.org/00h1gc758"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388765830.pdf","grobid_xml":"https://content.openalex.org/works/W4388765830.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W904373235","https://openalex.org/W1644641054","https://openalex.org/W1920022804","https://openalex.org/W2194775991","https://openalex.org/W2211722331","https://openalex.org/W2339077268","https://openalex.org/W2513955405","https://openalex.org/W2530204826","https://openalex.org/W2560609797","https://openalex.org/W2606987267","https://openalex.org/W2843415492","https://openalex.org/W2929918612","https://openalex.org/W2962941647","https://openalex.org/W2963053547","https://openalex.org/W2963158438","https://openalex.org/W2963231572","https://openalex.org/W2963312728","https://openalex.org/W2963719584","https://openalex.org/W2966702270","https://openalex.org/W2969121582","https://openalex.org/W2979750740","https://openalex.org/W2991512114","https://openalex.org/W3015648709","https://openalex.org/W3031288689","https://openalex.org/W3035398346","https://openalex.org/W3039448353","https://openalex.org/W3110908156","https://openalex.org/W3121580487","https://openalex.org/W3125648170","https://openalex.org/W3130522932","https://openalex.org/W3157424380","https://openalex.org/W3160326748","https://openalex.org/W3189369139","https://openalex.org/W3210255049","https://openalex.org/W4200015473","https://openalex.org/W4206697475","https://openalex.org/W4223646432","https://openalex.org/W4225696264","https://openalex.org/W4309002546"],"related_works":["https://openalex.org/W4294363370","https://openalex.org/W3136712731","https://openalex.org/W3094861198","https://openalex.org/W4385819743","https://openalex.org/W4235997205","https://openalex.org/W4225696264","https://openalex.org/W4387802129","https://openalex.org/W4297880708","https://openalex.org/W4390976733","https://openalex.org/W3015648709"],"abstract_inverted_index":{"Among":[0],"all":[1],"usual":[2],"formats":[3],"of":[4,44,106,128,144,155,167],"representing":[5],"3D":[6,33],"objects,":[7],"including":[8],"depth":[9],"image,":[10],"mesh":[11],"and":[12,22,38,53,94,103,121,132,146,162,171],"volumetric":[13],"grid,":[14],"point":[15,70,168],"cloud":[16,169],"is":[17],"the":[18,28,45,104,107,111,119,126,129,137,165],"most":[19],"commonly":[20],"used":[21],"preferred":[23],"format,":[24],"because":[25],"it":[26],"preserves":[27],"original":[29],"geometric":[30],"information":[31],"in":[32],"space":[34],"without":[35],"any":[36],"discretization":[37],"can":[39],"provide":[40],"a":[41,74,85,141,147],"comprehensive":[42],"understanding":[43],"target":[46],"objects.":[47],"However,":[48],"due":[49],"to":[50,69,124],"their":[51],"unordered":[52],"unstructured":[54],"nature,":[55],"conventional":[56],"deep":[57],"learning":[58,112],"methods":[59],"such":[60],"as":[61],"convolutional":[62],"neural":[63],"networks":[64],"cannot":[65],"be":[66],"directly":[67],"applied":[68],"clouds,":[71],"which":[72,97],"poses":[73],"challenge":[75],"for":[76],"extracting":[77],"semantic":[78],"features":[79,102,108],"from":[80],"them.":[81],"This":[82],"paper":[83],"proposes":[84],"feature":[86],"fusion":[87],"algorithm":[88,158],"based":[89],"on":[90,118],"attention":[91],"graph":[92],"convolution":[93],"error":[95],"feedback,":[96],"considers":[98],"global":[99],"features,":[100],"local":[101],"problem":[105],"loss":[109],"during":[110],"process.":[113],"Comparison":[114],"experiments":[115],"are":[116],"conducted":[117],"ModelNet40":[120],"ShapeNet":[122],"datasets":[123],"verify":[125],"performance":[127],"proposed":[130,138],"algorithm,":[131],"experimental":[133],"results":[134],"show":[135],"that":[136],"method":[139],"achieves":[140],"classification":[142,170],"accuracy":[143,166],"93.1%":[145],"part":[148],"segmentation":[149,172],"mIoU":[150],"(mean":[151],"Intersection":[152],"over":[153],"Union)":[154],"85.4%.":[156],"Our":[157],"outperforms":[159],"state-of-the-art":[160],"algorithms,":[161],"effectively":[163],"improves":[164],"with":[173],"faster":[174],"convergence":[175],"speed.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2023-11-18T00:00:00"}
