{"id":"https://openalex.org/W3007000110","doi":"https://doi.org/10.1109/tcds.2020.2974322","title":"Deep Convolutional Network Based on Interleaved Fusion Group","display_name":"Deep Convolutional Network Based on Interleaved Fusion Group","publication_year":2020,"publication_date":"2020-02-18","ids":{"openalex":"https://openalex.org/W3007000110","doi":"https://doi.org/10.1109/tcds.2020.2974322","mag":"3007000110"},"language":"en","primary_location":{"id":"doi:10.1109/tcds.2020.2974322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2020.2974322","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"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 Cognitive and Developmental Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5062546355","display_name":"Enhui Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I177388780","display_name":"Xuzhou Medical College","ror":"https://ror.org/04fe7hy80","country_code":"CN","type":"education","lineage":["https://openalex.org/I177388780"]},{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enhui Lv","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","School of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"School of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, China","institution_ids":["https://openalex.org/I177388780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091364297","display_name":"Yuhu Cheng","orcid":"https://orcid.org/0000-0003-2022-9999"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhu Cheng","raw_affiliation_strings":["Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, Xuzhou Key Laboratory of Artificial Intelligence and Big Data, and School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2022-9999","affiliations":[{"raw_affiliation_string":"Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, Xuzhou Key Laboratory of Artificial Intelligence and Big Data, and School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108064895","display_name":"Xuesong Wang","orcid":"https://orcid.org/0000-0002-5327-1088"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuesong Wang","raw_affiliation_strings":["Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, Xuzhou Key Laboratory of Artificial Intelligence and Big Data, and School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5327-1088","affiliations":[{"raw_affiliation_string":"Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, Xuzhou Key Laboratory of Artificial Intelligence and Big Data, and School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100643265","display_name":"C. L. Philip Chen","orcid":"https://orcid.org/0000-0001-5451-7230"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN","MO"],"is_corresponding":false,"raw_author_name":"C. L. Philip Chen","raw_affiliation_strings":["Faculty of Science and Technology, University of Macau, Macau, China","School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5451-7230","affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]},{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6708,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.70374541,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"13","issue":"3","first_page":"555","last_page":"565"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9986000061035156,"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"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.850345253944397},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6586289405822754},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6249674558639526},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5073222517967224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4934619963169098},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4748566150665283},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.4473935663700104},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4229589104652405},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.19192937016487122},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.0679796040058136}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.850345253944397},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6586289405822754},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6249674558639526},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5073222517967224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4934619963169098},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4748566150665283},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.4473935663700104},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4229589104652405},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.19192937016487122},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0679796040058136},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcds.2020.2974322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2020.2974322","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"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 Cognitive and Developmental Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.5}],"awards":[{"id":"https://openalex.org/G5750115239","display_name":null,"funder_award_id":"U1813203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G653700208","display_name":null,"funder_award_id":"61751202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6792490895","display_name":null,"funder_award_id":"61976215","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7031480287","display_name":"\u57fa\u4e8e\u5c5e\u6027\u5b66\u4e60\u7684\u96f6\u6837\u672c\u56fe\u50cf\u5206\u7c7b\u7814\u7a76","funder_award_id":"61772532","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1533861849","https://openalex.org/W1686810756","https://openalex.org/W2095705004","https://openalex.org/W2097117768","https://openalex.org/W2108598243","https://openalex.org/W2145607950","https://openalex.org/W2155893237","https://openalex.org/W2156387975","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2302255633","https://openalex.org/W2319920447","https://openalex.org/W2331143823","https://openalex.org/W2397299141","https://openalex.org/W2400429454","https://openalex.org/W2401231614","https://openalex.org/W2406474429","https://openalex.org/W2531409750","https://openalex.org/W2549139847","https://openalex.org/W2549665044","https://openalex.org/W2552488921","https://openalex.org/W2553910756","https://openalex.org/W2594745621","https://openalex.org/W2612445135","https://openalex.org/W2748788739","https://openalex.org/W2752782242","https://openalex.org/W2766839578","https://openalex.org/W2798110502","https://openalex.org/W2801844931","https://openalex.org/W2950094539","https://openalex.org/W2962835968","https://openalex.org/W2962851801","https://openalex.org/W2962965870","https://openalex.org/W2962988160","https://openalex.org/W2963000224","https://openalex.org/W2963077256","https://openalex.org/W2963125010","https://openalex.org/W2963216524","https://openalex.org/W2963363373","https://openalex.org/W2963420686","https://openalex.org/W2963446712","https://openalex.org/W2963913733","https://openalex.org/W2963993763","https://openalex.org/W2964137095","https://openalex.org/W2964169985","https://openalex.org/W4297775537","https://openalex.org/W6631943919","https://openalex.org/W6674330103","https://openalex.org/W6682889407","https://openalex.org/W6684191040","https://openalex.org/W6712635486","https://openalex.org/W6725543821"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4375867731","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W2964954556","https://openalex.org/W3029198973","https://openalex.org/W3019910406"],"abstract_inverted_index":{"It":[0],"is":[1,73,78,110],"known":[2],"that":[3,158],"the":[4,8,24,28,58,91,101,114,121,126,131,141,146,151,159],"classification":[5,52,104,165],"accuracy":[6,53],"of":[7,30,56,60,103,128],"deep":[9,67,175],"convolutional":[10,71,161],"network":[11,25,31,39,48,72,92,122,142,162],"can":[12],"be":[13],"remarkably":[14],"improved":[15],"by":[16,54,112,124],"increasing":[17],"its":[18],"depth":[19],"and":[20,41,50,65,96,116,135,144,167],"width.":[21],"However,":[22],"as":[23,88],"size":[26],"increases,":[27],"number":[29,59,127],"parameters":[32],"will":[33],"increase":[34],"significantly,":[35],"which":[36,119],"results":[37],"in":[38],"redundancy":[40,49],"performance":[42,166],"degradation.":[43],"In":[44],"order":[45],"to":[46,79,89],"reduce":[47,94],"improve":[51,97,145],"means":[55],"reducing":[57,125],"parameters,":[61],"a":[62,81,107],"highly":[63],"modularized":[64],"lightweight":[66],"interleaved":[68],"fusion":[69],"group":[70,133],"proposed.":[74],"The":[75],"main":[76],"idea":[77],"design":[80],"more":[82],"efficient":[83],"\u201cnetwork":[84],"computing":[85],"manner,\u201d":[86],"so":[87],"simplify":[90,140],"model,":[93],"redundancy,":[95],"computational":[98,147],"efficiency":[99],"without":[100],"loss":[102],"accuracy.":[105],"First,":[106],"template":[108],"block":[109],"constructed":[111],"using":[113],"stacking":[115],"split-transform-merge":[117],"strategies,":[118],"simplifies":[120],"model":[123,143],"parameters.":[129],"Then,":[130],"introduced":[132],"convolution":[134,138],"structured":[136],"sparse":[137],"further":[139],"efficiency.":[148],"Experiments":[149],"on":[150],"standard":[152],"image":[153],"recognition":[154],"tasks":[155],"have":[156],"shown":[157],"proposed":[160],"achieves":[163],"better":[164],"has":[168],"superior":[169],"generalization":[170],"ability":[171],"compared":[172],"with":[173],"state-of-the-art":[174],"networks.":[176]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}