{"id":"https://openalex.org/W2913963428","doi":"https://doi.org/10.1109/icip.2019.8802998","title":"Convolutional Neural Networks with Layer Reuse","display_name":"Convolutional Neural Networks with Layer Reuse","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2913963428","doi":"https://doi.org/10.1109/icip.2019.8802998","mag":"2913963428"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8802998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8802998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1901.09615","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021837066","display_name":"Okan K\u00f6p\u00fckl\u00fc","orcid":"https://orcid.org/0000-0001-5281-9462"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Okan Kopuklu","raw_affiliation_strings":["Institute for Human-Machine Communication, Technical University of Munich","Technical University of Munich, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Human-Machine Communication, Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101445026","display_name":"Maryam Babaee","orcid":"https://orcid.org/0000-0003-0887-8988"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Maryam Babaee","raw_affiliation_strings":["Institute for Human-Machine Communication, Technical University of Munich","Technical University of Munich, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Human-Machine Communication, Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031810609","display_name":"Stefan H\u00f6rmann","orcid":"https://orcid.org/0000-0002-0086-340X"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Hormann","raw_affiliation_strings":["Institute for Human-Machine Communication, Technical University of Munich","Technical University of Munich, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Human-Machine Communication, Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039092855","display_name":"Gerhard Rigoll","orcid":"https://orcid.org/0000-0003-1096-1596"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gerhard Rigoll","raw_affiliation_strings":["Institute for Human-Machine Communication, Technical University of Munich","Technical University of Munich, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Human-Machine Communication, Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"345","last_page":"349"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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":1.0,"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":0.9993000030517578,"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":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.800632655620575},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.7834446430206299},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.7625510096549988},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7529715299606323},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.6506977081298828},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6288947463035583},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5234512686729431},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.48486217856407166},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.35175174474716187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33259403705596924},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.33190637826919556},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.244821697473526},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24468928575515747},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.08723220229148865},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0858239233493805},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.059676676988601685}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.800632655620575},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.7834446430206299},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.7625510096549988},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7529715299606323},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.6506977081298828},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6288947463035583},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5234512686729431},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.48486217856407166},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.35175174474716187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33259403705596924},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.33190637826919556},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.244821697473526},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24468928575515747},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.08723220229148865},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0858239233493805},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.059676676988601685},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/icip.2019.8802998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8802998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1901.09615","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1901.09615","pdf_url":"https://arxiv.org/pdf/1901.09615","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:mediatum.ub.tum.de:node/1475002","is_oa":true,"landing_page_url":"http://mediatum.ub.tum.de/node?id=1475002","pdf_url":null,"source":{"id":"https://openalex.org/S4306400453","display_name":"mediaTUM \u2013 the media and publications repository of the Technical University Munich (Technical University Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},{"id":"pmh:oai:mediatum.ub.tum.de:node/1520368","is_oa":true,"landing_page_url":"http://mediatum.ub.tum.de/node?id=1520368","pdf_url":null,"source":{"id":"https://openalex.org/S4306400453","display_name":"mediaTUM \u2013 the media and publications repository of the Technical University Munich (Technical University Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},{"id":"doi:10.48550/arxiv.1901.09615","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1901.09615","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"},{"id":"mag:2913963428","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1901.09615.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"arXiv (Cornell University)","raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1901.09615","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1901.09615","pdf_url":"https://arxiv.org/pdf/1901.09615","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2097117768","https://openalex.org/W2112796928","https://openalex.org/W2194775991","https://openalex.org/W2233116163","https://openalex.org/W2279098554","https://openalex.org/W2531409750","https://openalex.org/W2549139847","https://openalex.org/W2612445135","https://openalex.org/W2750384547","https://openalex.org/W2785124307","https://openalex.org/W2796438033","https://openalex.org/W2904419413","https://openalex.org/W2949117887","https://openalex.org/W2951975363","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2963446712","https://openalex.org/W2964349401","https://openalex.org/W3118608800","https://openalex.org/W6638667902","https://openalex.org/W6684191040","https://openalex.org/W6698200048","https://openalex.org/W6737664043","https://openalex.org/W6743688258","https://openalex.org/W6753767121","https://openalex.org/W6756911974"],"related_works":["https://openalex.org/W2382313035","https://openalex.org/W1580232333","https://openalex.org/W2752698706","https://openalex.org/W2770297025","https://openalex.org/W3180266648","https://openalex.org/W3140099337","https://openalex.org/W2899803112","https://openalex.org/W3001730082","https://openalex.org/W2968095833","https://openalex.org/W3013407415","https://openalex.org/W2515193474","https://openalex.org/W2960955628","https://openalex.org/W3135442651","https://openalex.org/W2995205602","https://openalex.org/W3044744456","https://openalex.org/W2952430663","https://openalex.org/W3174911677","https://openalex.org/W2918006316","https://openalex.org/W2804989836","https://openalex.org/W2921965200"],"abstract_inverted_index":{"A":[0],"convolutional":[1,49,71],"layer":[2,122,136,167],"in":[3,54],"a":[4,62,85],"Convolutional":[5],"Neural":[6],"Network":[7,67],"(CNN)":[8],"consists":[9],"of":[10,42,79,96,107,132,148],"many":[11],"filters":[12,50],"which":[13],"apply":[14],"convolution":[15],"operation":[16],"to":[17,28,83],"the":[18,26,29,33,39,43,47,70,77,104,112,130,149,170],"input,":[19],"capture":[20],"some":[21],"special":[22],"patterns":[23,35],"and":[24,138,159,166,175,181],"pass":[25],"result":[27],"next":[30],"layer.":[31],"If":[32],"same":[34,48],"also":[36,53],"occur":[37],"at":[38],"deeper":[40],"layers":[41,72,82,105,141],"network,":[44],"why":[45],"wouldn't":[46],"be":[51,118,125],"used":[52,74],"those":[55],"layers?":[56],"In":[57],"this":[58],"paper,":[59],"we":[60,101],"propose":[61],"CNN":[63],"architecture,":[64],"Layer":[65],"Reuse":[66],"(LruNet),":[68],"where":[69],"are":[73,98,102,184],"repeatedly":[75],"without":[76],"need":[78],"introducing":[80,108],"new":[81,109],"get":[84,142],"better":[86],"performance.":[87],"This":[88],"approach":[89,153],"introduces":[90],"several":[91],"advantages:":[92],"(i)":[93],"Considerable":[94],"amount":[95],"parameters":[97,123],"saved":[99],"since":[100,120],"reusing":[103],"instead":[106],"layers,":[110],"(ii)":[111],"Memory":[113],"Access":[114],"Cost":[115],"(MAC)":[116],"can":[117,124],"reduced":[119],"reused":[121,140],"fetched":[126],"only":[127],"once,":[128],"(iii)":[129],"number":[131],"nonlinearities":[133],"increases":[134],"with":[135],"reuse,":[137],"(iv)":[139],"gradient":[143],"updates":[144],"from":[145],"multiple":[146],"parts":[147],"network.":[150],"The":[151,178],"proposed":[152],"is":[154],"evaluated":[155],"on":[156],"CIFAR-10,":[157],"CIFAR-100":[158],"Fashion-MNIST":[160],"datasets":[161],"for":[162],"image":[163],"classification":[164],"task,":[165],"reuse":[168],"improves":[169],"performance":[171],"by":[172],"5.14%,":[173],"5.85%":[174],"2.29%,":[176],"respectively.":[177],"source":[179],"code":[180],"pretrained":[182],"models":[183],"publicly":[185],"available":[186],"<sup":[187],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[188],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[189],".":[190]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}