{"id":"https://openalex.org/W3134301580","doi":"https://doi.org/10.3390/s21051625","title":"Point Cloud Semantic Segmentation Network Based on Multi-Scale Feature Fusion","display_name":"Point Cloud Semantic Segmentation Network Based on Multi-Scale Feature Fusion","publication_year":2021,"publication_date":"2021-02-26","ids":{"openalex":"https://openalex.org/W3134301580","doi":"https://doi.org/10.3390/s21051625","mag":"3134301580","pmid":"https://pubmed.ncbi.nlm.nih.gov/33652553"},"language":"en","primary_location":{"id":"doi:10.3390/s21051625","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21051625","pdf_url":"https://www.mdpi.com/1424-8220/21/5/1625/pdf?version=1614388687","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/5/1625/pdf?version=1614388687","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100531816","display_name":"Jing Du","orcid":"https://orcid.org/0009-0005-1242-0728"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Du","raw_affiliation_strings":["Computer Engineering College, Jimei University, Xiamen 361021, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Engineering College, Jimei University, Xiamen 361021, China","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064898064","display_name":"Zuning Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zuning Jiang","raw_affiliation_strings":["Computer Engineering College, Jimei University, Xiamen 361021, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Engineering College, Jimei University, Xiamen 361021, China","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002530498","display_name":"Shangfeng Huang","orcid":"https://orcid.org/0000-0003-2242-9521"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangfeng Huang","raw_affiliation_strings":["Computer Engineering College, Jimei University, Xiamen 361021, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Engineering College, Jimei University, Xiamen 361021, China","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081721333","display_name":"Zongyue Wang","orcid":"https://orcid.org/0000-0003-2409-7065"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongyue Wang","raw_affiliation_strings":["Computer Engineering College, Jimei University, Xiamen 361021, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Engineering College, Jimei University, Xiamen 361021, China","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111181867","display_name":"Jinhe Su","orcid":null},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhe Su","raw_affiliation_strings":["Computer Engineering College, Jimei University, Xiamen 361021, China"],"raw_orcid":"https://orcid.org/0000-0002-8562-2743","affiliations":[{"raw_affiliation_string":"Computer Engineering College, Jimei University, Xiamen 361021, China","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044632144","display_name":"Songjian Su","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Songjian Su","raw_affiliation_strings":["Ropeok Technology Group Co., Ltd., Xiamen 361021, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ropeok Technology Group Co., Ltd., Xiamen 361021, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103227887","display_name":"Yundong Wu","orcid":"https://orcid.org/0009-0009-3554-5549"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yundong Wu","raw_affiliation_strings":["Computer Engineering College, Jimei University, Xiamen 361021, China","Fujian Collaborative Innovation Center for Big Data Applications in Governments, Fuzhou 350003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Engineering College, Jimei University, Xiamen 361021, China","institution_ids":["https://openalex.org/I161346416"]},{"raw_affiliation_string":"Fujian Collaborative Innovation Center for Big Data Applications in Governments, Fuzhou 350003, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100620003","display_name":"Guorong Cai","orcid":"https://orcid.org/0000-0001-8091-271X"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guorong Cai","raw_affiliation_strings":["Computer Engineering College, Jimei University, Xiamen 361021, China","Fujian Collaborative Innovation Center for Big Data Applications in Governments, Fuzhou 350003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Engineering College, Jimei University, Xiamen 361021, China","institution_ids":["https://openalex.org/I161346416"]},{"raw_affiliation_string":"Fujian Collaborative Innovation Center for Big Data Applications in Governments, Fuzhou 350003, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100620003"],"corresponding_institution_ids":["https://openalex.org/I161346416"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":3.6534,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.9252913,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"21","issue":"5","first_page":"1625","last_page":"1625"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9993000030517578,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9991000294685364,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9987999796867371,"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/point-cloud","display_name":"Point cloud","score":0.8434246778488159},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7576998472213745},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6500731706619263},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6235660314559937},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5943309664726257},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.5409480333328247},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5309666395187378},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5032903552055359},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.45290476083755493},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.41849544644355774},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3578094244003296},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22622641921043396},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10388734936714172},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09569045901298523}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8434246778488159},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7576998472213745},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6500731706619263},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6235660314559937},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5943309664726257},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.5409480333328247},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5309666395187378},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5032903552055359},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.45290476083755493},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.41849544644355774},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3578094244003296},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22622641921043396},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10388734936714172},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09569045901298523},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s21051625","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21051625","pdf_url":"https://www.mdpi.com/1424-8220/21/5/1625/pdf?version=1614388687","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:33652553","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33652553","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:b6f72859bbb44363ab6d19e2bb01dea6","is_oa":true,"landing_page_url":"https://doaj.org/article/b6f72859bbb44363ab6d19e2bb01dea6","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":"Sensors, Vol 21, Iss 5, p 1625 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/5/1625/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21051625","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 21; Issue 5; Pages: 1625","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7956681","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7956681","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21051625","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21051625","pdf_url":"https://www.mdpi.com/1424-8220/21/5/1625/pdf?version=1614388687","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G539368931","display_name":null,"funder_award_id":"41971424","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6911919114","display_name":null,"funder_award_id":"61701191","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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3134301580.pdf","grobid_xml":"https://content.openalex.org/works/W3134301580.grobid-xml"},"referenced_works_count":72,"referenced_works":["https://openalex.org/W1644641054","https://openalex.org/W1686810756","https://openalex.org/W1903029394","https://openalex.org/W1920022804","https://openalex.org/W2015518299","https://openalex.org/W2097117768","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2211722331","https://openalex.org/W2394951287","https://openalex.org/W2460657278","https://openalex.org/W2480078828","https://openalex.org/W2520005737","https://openalex.org/W2563408008","https://openalex.org/W2565639579","https://openalex.org/W2594519801","https://openalex.org/W2603429625","https://openalex.org/W2609946960","https://openalex.org/W2614059183","https://openalex.org/W2624503621","https://openalex.org/W2799162093","https://openalex.org/W2800306924","https://openalex.org/W2800388963","https://openalex.org/W2803867573","https://openalex.org/W2804436788","https://openalex.org/W2804872164","https://openalex.org/W2810641456","https://openalex.org/W2850910281","https://openalex.org/W2900450978","https://openalex.org/W2902302021","https://openalex.org/W2912101818","https://openalex.org/W2929571474","https://openalex.org/W2936544130","https://openalex.org/W2938428612","https://openalex.org/W2939221413","https://openalex.org/W2950642167","https://openalex.org/W2952263313","https://openalex.org/W2952789225","https://openalex.org/W2960986959","https://openalex.org/W2962731536","https://openalex.org/W2962759414","https://openalex.org/W2963035165","https://openalex.org/W2963121255","https://openalex.org/W2963153291","https://openalex.org/W2963231572","https://openalex.org/W2963281829","https://openalex.org/W2963509914","https://openalex.org/W2964266557","https://openalex.org/W2964342398","https://openalex.org/W2968397098","https://openalex.org/W2968798208","https://openalex.org/W2978382660","https://openalex.org/W2979750740","https://openalex.org/W2981380264","https://openalex.org/W2985812748","https://openalex.org/W2986037208","https://openalex.org/W2990566162","https://openalex.org/W2990613095","https://openalex.org/W2997890711","https://openalex.org/W3007491939","https://openalex.org/W3012494314","https://openalex.org/W3034482224","https://openalex.org/W3035002114","https://openalex.org/W3042491933","https://openalex.org/W3044310049","https://openalex.org/W3107518100","https://openalex.org/W3109154950","https://openalex.org/W3110503160","https://openalex.org/W6640300118","https://openalex.org/W6712520605","https://openalex.org/W6736894448","https://openalex.org/W6767582755"],"related_works":["https://openalex.org/W2062399876","https://openalex.org/W2373577936","https://openalex.org/W3095575180","https://openalex.org/W2389596151","https://openalex.org/W2607795551","https://openalex.org/W4221148444","https://openalex.org/W3176213335","https://openalex.org/W4399442168","https://openalex.org/W2114282491","https://openalex.org/W4212888438"],"abstract_inverted_index":{"The":[0],"semantic":[1,55,80,138],"segmentation":[2,56],"of":[3,12,33,68,79,94,120,143,163],"small":[4],"objects":[5],"in":[6,17,43],"point":[7,53,70,92,115,141],"clouds":[8,93,142],"is":[9,40,87,102,132],"currently":[10],"one":[11],"the":[13,31,44,66,77,106,121,136,153,177],"most":[14],"demanding":[15],"tasks":[16],"photogrammetry":[18],"and":[19,26,36,75,155,158,165,184],"remote":[20],"sensing":[21],"applications.":[22],"Multi-resolution":[23],"feature":[24,61,67,123],"extraction":[25],"fusion":[27,62],"can":[28],"significantly":[29],"enhance":[30],"ability":[32],"object":[34],"classification":[35],"segmentation,":[37],"so":[38],"it":[39],"widely":[41],"used":[42,133],"image":[45],"field.":[46],"For":[47],"this":[48],"motivation,":[49],"we":[50],"propose":[51],"a":[52,69,129],"cloud":[54,71],"network":[57,108,147],"based":[58],"on":[59,152,168],"multi-scale":[60],"(MSSCN)":[63],"to":[64,90,109,134],"aggregate":[65],"with":[72],"different":[73,95,126,137,144],"densities":[74,145],"improve":[76],"performance":[78,175],"segmentation.":[81],"In":[82],"our":[83,159],"method,":[84],"random":[85],"downsampling":[86],"first":[88],"applied":[89],"obtain":[91],"densities.":[96],"A":[97],"Spatial":[98],"Aggregation":[99],"Net":[100],"(SAN)":[101],"then":[103],"employed":[104],"as":[105],"backbone":[107],"extract":[110],"local":[111],"features":[112],"from":[113,140],"these":[114,169],"clouds,":[116],"followed":[117],"by":[118],"concatenation":[119],"extracted":[122],"descriptors":[124],"at":[125],"scales.":[127],"Finally,":[128],"loss":[130],"function":[131],"combine":[135],"information":[139],"for":[146],"optimization.":[148],"Experiments":[149],"were":[150],"conducted":[151],"S3DIS":[154],"ScanNet":[156],"datasets,":[157],"MSSCN":[160],"achieved":[161],"accuracies":[162],"89.80%":[164],"86.3%,":[166],"respectively,":[167],"datasets.":[170],"Our":[171],"method":[172],"showed":[173],"better":[174],"than":[176],"recent":[178],"methods":[179],"PointNet,":[180],"PointNet++,":[181],"PointCNN,":[182],"PointSIFT,":[183],"SAN.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
