{"id":"https://openalex.org/W2913749182","doi":"https://doi.org/10.1109/uv.2018.8642150","title":"CovNN: A Covariance Neural Network Extended from CNN","display_name":"CovNN: A Covariance Neural Network Extended from CNN","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2913749182","doi":"https://doi.org/10.1109/uv.2018.8642150","mag":"2913749182"},"language":"en","primary_location":{"id":"doi:10.1109/uv.2018.8642150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uv.2018.8642150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 4th International Conference on Universal Village (UV)","raw_type":"proceedings-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/A5032627085","display_name":"Yue Shen","orcid":"https://orcid.org/0000-0002-4456-2844"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yue Shen","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, 150001, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, 150001, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053658973","display_name":"Tianyou Zheng","orcid":"https://orcid.org/0000-0002-2310-2988"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyou Zheng","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, 150001, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, 150001, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100601959","display_name":"Dandan Li","orcid":"https://orcid.org/0009-0003-6132-8931"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dandan Li","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, 150001, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, 150001, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078429117","display_name":"Wang Zi-cai","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zicai Wang","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, 150001, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, 150001, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5032627085"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17960332,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9987000226974487,"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":0.9987000226974487,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/mnist-database","display_name":"MNIST database","score":0.958030641078949},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7897231578826904},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.7892701625823975},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7528695464134216},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.733421266078949},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6941007971763611},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6729736328125},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.4735395312309265},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45232588052749634},{"id":"https://openalex.org/keywords/covariance-intersection","display_name":"Covariance intersection","score":0.4456701874732971},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.41264528036117554},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41123533248901367},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.289603590965271},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.18672913312911987},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1824985146522522},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.06706929206848145},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.056231796741485596}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.958030641078949},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7897231578826904},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.7892701625823975},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7528695464134216},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.733421266078949},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6941007971763611},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6729736328125},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.4735395312309265},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45232588052749634},{"id":"https://openalex.org/C83042196","wikidata":"https://www.wikidata.org/wiki/Q5178898","display_name":"Covariance intersection","level":4,"score":0.4456701874732971},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.41264528036117554},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41123533248901367},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.289603590965271},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.18672913312911987},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1824985146522522},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.06706929206848145},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.056231796741485596},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/uv.2018.8642150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uv.2018.8642150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 4th International Conference on Universal Village (UV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1522301498","https://openalex.org/W1665214252","https://openalex.org/W1800356822","https://openalex.org/W1836465849","https://openalex.org/W1861492603","https://openalex.org/W1981759979","https://openalex.org/W2031489346","https://openalex.org/W2037654606","https://openalex.org/W2095705004","https://openalex.org/W2112796928","https://openalex.org/W2117539524","https://openalex.org/W2132424367","https://openalex.org/W2152722485","https://openalex.org/W2155904486","https://openalex.org/W2163605009","https://openalex.org/W2168894214","https://openalex.org/W2194775991","https://openalex.org/W2273818272","https://openalex.org/W2345474290","https://openalex.org/W2486034530","https://openalex.org/W2612240276","https://openalex.org/W2613718673","https://openalex.org/W2750384547","https://openalex.org/W2952825952","https://openalex.org/W2962850830","https://openalex.org/W2963606038","https://openalex.org/W3198359486","https://openalex.org/W6620707391","https://openalex.org/W6631190155","https://openalex.org/W6635552349","https://openalex.org/W6637242042","https://openalex.org/W6637568146","https://openalex.org/W6638114406","https://openalex.org/W6638667902","https://openalex.org/W6639102338","https://openalex.org/W6674330103","https://openalex.org/W6682824805","https://openalex.org/W6684191040","https://openalex.org/W6684665197","https://openalex.org/W6696761078","https://openalex.org/W6743688258","https://openalex.org/W7074671674"],"related_works":["https://openalex.org/W2718384077","https://openalex.org/W1597192237","https://openalex.org/W2022823194","https://openalex.org/W2317323511","https://openalex.org/W4286306217","https://openalex.org/W2950842177","https://openalex.org/W4289542856","https://openalex.org/W2395573186","https://openalex.org/W338040569","https://openalex.org/W2074589917"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1,49,117],"networks":[2],"(CNNs)":[3],"show":[4],"commendable":[5],"performance":[6],"in":[7,13,27],"computer":[8],"vision,":[9],"approaching":[10],"high":[11],"accuracy":[12],"a":[14,47,114],"broad":[15],"number":[16],"of":[17,24,93,116,147,165],"application":[18],"domains.":[19],"However,":[20],"the":[21,54,64,80,85,90,106,129,161],"training":[22],"process":[23],"feature":[25,36,87],"kernels":[26,66,94],"CNNs":[28,122],"is":[29],"easily":[30],"affected":[31],"by":[32,95],"illumination":[33,71],"intensity":[34],"and":[35,73,89,99,143,145],"interaction,":[37],"which":[38,52],"leads":[39],"to":[40,62,69,113],"over-fitting.":[41],"In":[42],"this":[43],"paper,":[44],"we":[45],"propose":[46],"covariance":[48,60,77,82,107],"network":[50,118],"(CovNN),":[51],"replaces":[53],"original":[55],"convolutional":[56],"operation":[57],"with":[58],"our":[59],"algorithm,":[61],"make":[63],"learned":[65],"more":[67],"robust":[68],"different":[70],"conditions":[72],"irrelevant":[74],"features.":[75],"This":[76],"layer":[78,108],"uses":[79],"3D":[81],"between":[83],"all":[84],"input":[86],"maps":[88],"corresponding":[91],"group":[92],"sliding":[96],"window":[97],"method,":[98],"regularizes":[100],"them":[101],"without":[102],"additional":[103],"parameters.":[104],"Moreover,":[105],"can":[109],"be":[110],"seamlessly":[111],"transplanted":[112],"variety":[115],"architectures":[119],"extended":[120],"from":[121],"(e.g.,":[123],"ResNet,":[124],"Faster":[125],"R-CNN).":[126],"We":[127],"evaluate":[128],"proposed":[130],"CovNN":[131,156],"on":[132,163],"several":[133],"popular":[134],"datasets":[135],"for":[136],"image":[137],"recognition":[138],"(MNIST,":[139],"Fashion-MNIST,":[140],"CIFAR":[141],"10":[142],"AR)":[144],"classification":[146],"organs":[148],"(Abdominal":[149],"Ultrasound":[150],"Dataset).":[151],"Experimental":[152],"results":[153],"demonstrate":[154],"that":[155],"achieves":[157],"significant":[158],"improvements":[159],"over":[160],"state-of-the-art":[162],"most":[164],"them.":[166]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
