{"id":"https://openalex.org/W4388469957","doi":"https://doi.org/10.1109/tnnls.2023.3326606","title":"CACNN: Capsule Attention Convolutional Neural Networks for 3D Object Recognition","display_name":"CACNN: Capsule Attention Convolutional Neural Networks for 3D Object Recognition","publication_year":2023,"publication_date":"2023-11-07","ids":{"openalex":"https://openalex.org/W4388469957","doi":"https://doi.org/10.1109/tnnls.2023.3326606","pmid":"https://pubmed.ncbi.nlm.nih.gov/37934641"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3326606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3326606","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101660919","display_name":"Kai Sun","orcid":"https://orcid.org/0000-0003-2635-5478"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Sun","raw_affiliation_strings":["School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-2635-5478","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024880206","display_name":"Jiangshe Zhang","orcid":"https://orcid.org/0000-0002-8395-1180"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangshe Zhang","raw_affiliation_strings":["School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-8395-1180","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004363895","display_name":"Shuang Xu","orcid":"https://orcid.org/0000-0003-3576-6914"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Xu","raw_affiliation_strings":["School of Mathematics and Statistics, Northwestern Polytechnical University, Xi&#x2019;an, China","Research and Development Institute, Northwestern Polytechnical University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Research and Development Institute, Northwestern Polytechnical University, Shenzhen, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047293609","display_name":"Zixiang Zhao","orcid":"https://orcid.org/0000-0002-9274-0801"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixiang Zhao","raw_affiliation_strings":["School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-9274-0801","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100749933","display_name":"Chunxia Zhang","orcid":"https://orcid.org/0000-0001-9639-4507"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunxia Zhang","raw_affiliation_strings":["School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0001-9639-4507","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014312349","display_name":"Junmin Liu","orcid":"https://orcid.org/0000-0002-1462-7248"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junmin Liu","raw_affiliation_strings":["School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-1462-7248","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101640961","display_name":"Junying Hu","orcid":"https://orcid.org/0000-0002-6537-9694"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junying Hu","raw_affiliation_strings":["School of Mathematics, Northwest University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, Northwest University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I37802460"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3564,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.81012392,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"36","issue":"3","first_page":"4091","last_page":"4102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9986000061035156,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.8005757331848145},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7711513042449951},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7428981065750122},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7238170504570007},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6128990054130554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.601947546005249},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.5809906125068665},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5614137053489685},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5066378712654114},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.47993260622024536}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.8005757331848145},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7711513042449951},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7428981065750122},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7238170504570007},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6128990054130554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.601947546005249},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5809906125068665},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5614137053489685},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5066378712654114},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.47993260622024536},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical 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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3326606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3326606","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37934641","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37934641","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":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2545145071","display_name":null,"funder_award_id":"12201490","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3141139564","display_name":null,"funder_award_id":"12001428","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3168052291","display_name":null,"funder_award_id":"2021M702621","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G3899757686","display_name":null,"funder_award_id":"12371512","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4210075541","display_name":null,"funder_award_id":"62276208","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5392315534","display_name":null,"funder_award_id":"2023A1515011358","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G5739981033","display_name":null,"funder_award_id":"61976174.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7256008298","display_name":null,"funder_award_id":"2018AAA0102201","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7492199634","display_name":null,"funder_award_id":"12201497","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8567475641","display_name":null,"funder_award_id":"D5000220060","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W2966661","https://openalex.org/W1644641054","https://openalex.org/W1686810756","https://openalex.org/W1892078565","https://openalex.org/W1920022804","https://openalex.org/W1975976087","https://openalex.org/W2021122545","https://openalex.org/W2023056405","https://openalex.org/W2049716301","https://openalex.org/W2115667499","https://openalex.org/W2117539524","https://openalex.org/W2122111042","https://openalex.org/W2141362318","https://openalex.org/W2153649445","https://openalex.org/W2194775991","https://openalex.org/W2211722331","https://openalex.org/W2511691466","https://openalex.org/W2560609797","https://openalex.org/W2572117954","https://openalex.org/W2604164738","https://openalex.org/W2749056374","https://openalex.org/W2752782242","https://openalex.org/W2774433906","https://openalex.org/W2780643544","https://openalex.org/W2798998662","https://openalex.org/W2799162093","https://openalex.org/W2890018557","https://openalex.org/W2893477965","https://openalex.org/W2905173041","https://openalex.org/W2921891839","https://openalex.org/W2962731536","https://openalex.org/W2962889053","https://openalex.org/W2962928871","https://openalex.org/W2963026686","https://openalex.org/W2963123724","https://openalex.org/W2963173190","https://openalex.org/W2963397183","https://openalex.org/W2963495494","https://openalex.org/W2963509914","https://openalex.org/W2963719584","https://openalex.org/W2963744743","https://openalex.org/W2964060890","https://openalex.org/W2964167369","https://openalex.org/W2964228567","https://openalex.org/W2964268240","https://openalex.org/W2971865660","https://openalex.org/W2974875535","https://openalex.org/W2980190282","https://openalex.org/W2981487534","https://openalex.org/W2982147654","https://openalex.org/W2982215467","https://openalex.org/W2990806702","https://openalex.org/W2999905587","https://openalex.org/W3017063488","https://openalex.org/W3034804856","https://openalex.org/W3035541121","https://openalex.org/W3080980548","https://openalex.org/W3089824381","https://openalex.org/W3094484482","https://openalex.org/W3107191128","https://openalex.org/W3125803554","https://openalex.org/W3177079863","https://openalex.org/W3186928351","https://openalex.org/W4225696264","https://openalex.org/W4229855683","https://openalex.org/W4282942883","https://openalex.org/W4287868839","https://openalex.org/W4295238618","https://openalex.org/W6610487854","https://openalex.org/W6631190155","https://openalex.org/W6633448084","https://openalex.org/W6637373629","https://openalex.org/W6684191040","https://openalex.org/W6725627366","https://openalex.org/W6729358208","https://openalex.org/W6730323794","https://openalex.org/W6739778489","https://openalex.org/W6743446608","https://openalex.org/W6748053814","https://openalex.org/W6751741970","https://openalex.org/W6772452466"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W2626256601","https://openalex.org/W147410782","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W4401096132"],"abstract_inverted_index":{"Recently,":[0],"view-based":[1],"approaches,":[2],"which":[3,38,95],"recognize":[4],"a":[5,31,52,116,138],"3D":[6,23,146],"object":[7,24,147],"through":[8],"its":[9],"projected":[10],"2-D":[11],"images,":[12],"have":[13,18],"been":[14],"extensively":[15],"studied":[16],"and":[17,162],"achieved":[19],"considerable":[20],"success":[21],"in":[22],"recognition.":[25,148],"Nevertheless,":[26],"most":[27],"of":[28,74,100,109,119,159],"them":[29],"use":[30,79],"pooling":[32,107],"operation":[33],"to":[34,41,64,83,91],"aggregate":[35],"viewwise":[36],"features,":[37],"usually":[39],"leads":[40],"the":[42,66,87,98,105,123,157],"visual":[43],"information":[44,85],"loss.":[45],"To":[46],"tackle":[47],"this":[48],"problem,":[49],"we":[50,78,136],"propose":[51,137],"novel":[53],"layer":[54,58,108],"called":[55],"capsule":[56,101,139],"attention":[57,62,81,140],"(CAL)":[59],"by":[60,69],"using":[61],"mechanism":[63],"fuse":[65],"features":[67],"expressed":[68],"capsules.":[70],"In":[71,103],"detail,":[72],"instead":[73],"dynamic":[75],"routing":[76],"algorithm,":[77],"an":[80],"module":[82],"transmit":[84],"from":[86],"lower":[88],"level":[89,93],"capsules":[90],"higher":[92],"capsules,":[94],"obviously":[96],"improves":[97],"speed":[99],"networks.":[102],"particular,":[104],"view":[106],"multiview":[110],"convolutional":[111,141],"neural":[112,142],"network":[113,143],"(MVCNN)":[114],"becomes":[115],"special":[117],"case":[118],"our":[120,160],"CAL":[121],"when":[122],"trainable":[124],"weights":[125],"are":[126],"chosen":[127],"on":[128,134,152],"some":[129],"certain":[130],"values.":[131],"Furthermore,":[132],"based":[133],"CAL,":[135],"(CACNN)":[144],"for":[145],"Extensive":[149],"experimental":[150],"results":[151],"three":[153],"benchmark":[154],"datasets":[155],"demonstrate":[156],"efficiency":[158],"CACNN":[161],"show":[163],"that":[164],"it":[165],"outperforms":[166],"many":[167],"state-of-the-art":[168],"methods.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":5}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
