iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://api.openalex.org/works/doi:10.1109/ACCESS.2020.2968506
{"id":"https://openalex.org/W3001702258","doi":"https://doi.org/10.1109/access.2020.2968506","title":"3D Object Classification Using a Volumetric Deep Neural Network: An Efficient Octree Guided Auxiliary Learning Approach","display_name":"3D Object Classification Using a Volumetric Deep Neural Network: An Efficient Octree Guided Auxiliary Learning Approach","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3001702258","doi":"https://doi.org/10.1109/access.2020.2968506","mag":"3001702258"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2968506","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08964382.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"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},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08964382.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033286820","display_name":"A. A. M. Muzahid","orcid":"https://orcid.org/0000-0003-2001-1922"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"A. A. M. Muzahid","raw_affiliation_strings":["Institute of Smart City, Shanghai University, Shanghai, China","School of Communications and Information Engineering, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Smart City, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"School of Communications and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026951061","display_name":"Wanggen Wan","orcid":"https://orcid.org/0000-0002-5065-9650"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanggen Wan","raw_affiliation_strings":["Institute of Smart City, Shanghai University, Shanghai, China","School of Communications and Information Engineering, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Communications and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"Institute of Smart City, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002219416","display_name":"Ferdous Sohel","orcid":"https://orcid.org/0000-0003-1557-4907"},"institutions":[{"id":"https://openalex.org/I176790772","display_name":"Murdoch University","ror":"https://ror.org/00r4sry34","country_code":"AU","type":"education","lineage":["https://openalex.org/I176790772"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ferdous Sohel","raw_affiliation_strings":["College of Science, Health, Engineering and Education, Murdoch University, Murdoch, Australia"],"affiliations":[{"raw_affiliation_string":"College of Science, Health, Engineering and Education, Murdoch University, Murdoch, Australia","institution_ids":["https://openalex.org/I176790772"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068445868","display_name":"Naimat Ullah Khan","orcid":"https://orcid.org/0000-0001-5224-1381"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Naimat Ullah Khan","raw_affiliation_strings":["Institute of Smart City, Shanghai University, Shanghai, China","School of Communications and Information Engineering, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Smart City, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"School of Communications and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049108224","display_name":"Ofelia Delfina Cervantes Villagomez","orcid":"https://orcid.org/0000-0002-5180-4506"},"institutions":[{"id":"https://openalex.org/I69181431","display_name":"Universidad de las Am\u00e9ricas Puebla","ror":"https://ror.org/01s1km724","country_code":"MX","type":"education","lineage":["https://openalex.org/I69181431"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Ofelia Delfina Cervantes Villagomez","raw_affiliation_strings":["Computing, Electronics and Mechatronics Department, Universidad de las Am\u00e9ricas Puebla, Puebla, Mexico"],"affiliations":[{"raw_affiliation_string":"Computing, Electronics and Mechatronics Department, Universidad de las Am\u00e9ricas Puebla, Puebla, Mexico","institution_ids":["https://openalex.org/I69181431"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060438970","display_name":"Hidayat Ullah","orcid":"https://orcid.org/0000-0003-0960-4639"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hidayat Ullah","raw_affiliation_strings":["Institute of Smart City, Shanghai University, Shanghai, China","School of Communications and Information Engineering, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Smart City, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"School of Communications and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institution_assertions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850,"provenance":"doaj"},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850,"provenance":"doaj"},"fwci":1.914,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":17,"citation_normalized_percentile":{"value":0.999923,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":92},"biblio":{"volume":"8","issue":null,"first_page":"23802","last_page":"23816"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"Analysis of Three-Dimensional Shape Structures","score":0.9999,"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":"Analysis of Three-Dimensional Shape Structures","score":0.9999,"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 Geospatial Modelling Techniques","score":0.9985,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9983,"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/octree","display_name":"Octree","score":0.6753961},{"id":"https://openalex.org/keywords/shape-representation","display_name":"Shape Representation","score":0.54898},{"id":"https://openalex.org/keywords/depth-estimation","display_name":"Depth Estimation","score":0.529077},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep Learning","score":0.528594},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D Reconstruction","score":0.520281},{"id":"https://openalex.org/keywords/monocular-depth-estimation","display_name":"Monocular Depth Estimation","score":0.509288}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.78758436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7029914},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.67638004},{"id":"https://openalex.org/C141297171","wikidata":"https://www.wikidata.org/wiki/Q1143237","display_name":"Octree","level":2,"score":0.6753961},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.58424455},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.50870734},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.497067}],"mesh":[],"locations_count":3,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2968506","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08964382.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"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},{"is_oa":false,"landing_page_url":"https://doaj.org/article/f2144e0490a8457cba4994fe80ae1c41","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":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://hdl.handle.net/10453/142841","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/142841/2/Binder1.pdf","source":{"id":"https://openalex.org/S4306401629","display_name":"Open Publications Of UTS Scholars (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":["University of Technology Sydney"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2968506","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08964382.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"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},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality","award_id":"18510760300"}],"datasets":[],"versions":[],"referenced_works_count":56,"referenced_works":["https://openalex.org/W1491293736","https://openalex.org/W1644641054","https://openalex.org/W1799366690","https://openalex.org/W1920022804","https://openalex.org/W2013345945","https://openalex.org/W2034406352","https://openalex.org/W2053825465","https://openalex.org/W2060674973","https://openalex.org/W2074954154","https://openalex.org/W2130325614","https://openalex.org/W2136922672","https://openalex.org/W2155893237","https://openalex.org/W2158602022","https://openalex.org/W2163071539","https://openalex.org/W2163605009","https://openalex.org/W2173160820","https://openalex.org/W2190691619","https://openalex.org/W2210074228","https://openalex.org/W2211722331","https://openalex.org/W2503906914","https://openalex.org/W2504204199","https://openalex.org/W2511691466","https://openalex.org/W2556802233","https://openalex.org/W2560609797","https://openalex.org/W2603429625","https://openalex.org/W2606202972","https://openalex.org/W2608645542","https://openalex.org/W2621352645","https://openalex.org/W2734558172","https://openalex.org/W2769284350","https://openalex.org/W2772036063","https://openalex.org/W2774433906","https://openalex.org/W2792634491","https://openalex.org/W2796426482","https://openalex.org/W2798757724","https://openalex.org/W2885482233","https://openalex.org/W2888486794","https://openalex.org/W2894703649","https://openalex.org/W2896196878","https://openalex.org/W2921891839","https://openalex.org/W2930709109","https://openalex.org/W2942723599","https://openalex.org/W2943526970","https://openalex.org/W2955697347","https://openalex.org/W2962731536","https://openalex.org/W2962928871","https://openalex.org/W2963014660","https://openalex.org/W2963121255","https://openalex.org/W2963397183","https://openalex.org/W2963509914","https://openalex.org/W2963719584","https://openalex.org/W2964060890","https://openalex.org/W2964342398","https://openalex.org/W2972192700","https://openalex.org/W4238490769","https://openalex.org/W4394671432"],"related_works":["https://openalex.org/W2776826689","https://openalex.org/W2773541276","https://openalex.org/W2392270594","https://openalex.org/W2389430001","https://openalex.org/W2348653124","https://openalex.org/W2156453104","https://openalex.org/W2145484806","https://openalex.org/W2099745724","https://openalex.org/W2089908184","https://openalex.org/W1979313280"],"abstract_inverted_index":{"We":[0],"consider":[1],"the":[2,26,68,113,122,135,142,146,156,176,193],"recent":[3],"challenges":[4],"of":[5,88,95,116,137,141,178,195],"3D":[6,31,49,90,118,129,143,188],"shape":[7],"analysis":[8],"based":[9,111],"on":[10,33,112,145,207],"a":[11,16,41,72,117],"volumetric":[12,34,43,56,130],"CNN":[13,32,131],"that":[14,120,198],"requires":[15],"huge":[17],"computational":[18],"power.":[19],"This":[20,83],"high-cost":[21],"approach":[22,107,183],"forces":[23],"to":[24,60,66,71,75,126,155,204],"reduce":[25],"volume":[27],"resolutions":[28],"when":[29],"applying":[30],"data.":[35],"In":[36,58,133],"this":[37],"context,":[38],"we":[39,64],"propose":[40,65],"multiorientation":[42],"deep":[44,160],"neural":[45],"network":[46],"(MV-DNN)":[47],"for":[48,85,184],"object":[50,96,109,119],"classification":[51,123,147,201],"with":[52,80],"octree":[53,62,69],"generating":[54],"low-cost":[55],"features.":[57,82],"comparison":[59],"conventional":[61],"representations,":[63],"limit":[67],"partition":[70],"certain":[73],"depth":[74],"reserve":[76],"all":[77],"leaf":[78],"octants":[79],"sparsity":[81],"allows":[84],"improved":[86],"learning":[87,106,161,182],"complex":[89],"features":[91],"and":[92,101,139,166,174],"increased":[93],"prediction":[94],"labels":[97],"at":[98],"both":[99],"low":[100],"high":[102,186],"resolutions.":[103],"Our":[104,159],"auxiliary":[105,181],"predicts":[108],"classes":[110],"subvolume":[114],"parts":[115],"improve":[121],"accuracy":[124,202],"compared":[125,203],"other":[127],"existing":[128],"methods.":[132],"addition,":[134],"influence":[136],"views":[138],"depths":[140],"model":[144],"performance":[148],"is":[149],"investigated":[150],"through":[151],"extensive":[152],"experiments":[153],"applied":[154],"ModelNet40":[157],"database.":[158],"framework":[162],"runs":[163],"significantly":[164],"faster":[165],"consumes":[167],"less":[168],"memory":[169],"than":[170],"full":[171],"voxel":[172],"representations":[173],"demonstrate":[175],"effectiveness":[177],"our":[179,196],"octree-based":[180],"exploring":[185],"resolution":[187],"models.":[189],"Experimental":[190],"results":[191],"reveal":[192],"superiority":[194],"MV-DNN":[197],"achieves":[199],"better":[200],"state-of-art":[205],"methods":[206],"two":[208],"public":[209],"databases.":[210]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3001702258","counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2024-11-20T00:46:25.392752","created_date":"2020-01-30"}