{"id":"https://openalex.org/W2464542938","doi":"https://doi.org/10.1109/tcsvt.2016.2587389","title":"Layerwise Class-Aware Convolutional Neural Network","display_name":"Layerwise Class-Aware Convolutional Neural Network","publication_year":2016,"publication_date":"2016-07-07","ids":{"openalex":"https://openalex.org/W2464542938","doi":"https://doi.org/10.1109/tcsvt.2016.2587389","mag":"2464542938"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2016.2587389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2016.2587389","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5101571225","display_name":"Zhen Cui","orcid":"https://orcid.org/0000-0003-1837-664X"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhen Cui","raw_affiliation_strings":["Key Laboratory of Child Development and Learning Science, Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Child Development and Learning Science, Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034358881","display_name":"Zhiheng Niu","orcid":"https://orcid.org/0000-0002-5615-3714"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zhiheng Niu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029778327","display_name":"Luoqi Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Luoqi Liu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100381753","display_name":"Shuicheng Yan","orcid":"https://orcid.org/0000-0001-8906-3777"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Shuicheng Yan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101571225"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07790744,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":"12","first_page":"2601","last_page":"2612"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10036","display_name":"Advanced Neural Network Applications","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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.998199999332428,"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/subnetwork","display_name":"Subnetwork","score":0.9328257441520691},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8239375352859497},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6307846307754517},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6162319183349609},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5861716866493225},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5819393992424011},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5150182247161865},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5038334727287292},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5035416483879089},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.47368836402893066},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34043657779693604},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10007819533348083}],"concepts":[{"id":"https://openalex.org/C2780186347","wikidata":"https://www.wikidata.org/wiki/Q11414","display_name":"Subnetwork","level":2,"score":0.9328257441520691},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8239375352859497},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6307846307754517},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6162319183349609},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5861716866493225},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5819393992424011},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5150182247161865},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5038334727287292},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5035416483879089},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.47368836402893066},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34043657779693604},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10007819533348083},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2016.2587389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2016.2587389","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2344363859","display_name":null,"funder_award_id":"BK20130020","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G2409126685","display_name":null,"funder_award_id":"61572205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3506660080","display_name":null,"funder_award_id":"2015CB351704","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3875471163","display_name":null,"funder_award_id":"61231002","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"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W4919037","https://openalex.org/W1509966554","https://openalex.org/W1686810756","https://openalex.org/W1782590233","https://openalex.org/W1849277567","https://openalex.org/W1904365287","https://openalex.org/W1907282891","https://openalex.org/W1980163762","https://openalex.org/W2022508996","https://openalex.org/W2022613290","https://openalex.org/W2054831469","https://openalex.org/W2087946919","https://openalex.org/W2095705004","https://openalex.org/W2097117768","https://openalex.org/W2100495367","https://openalex.org/W2102605133","https://openalex.org/W2107215754","https://openalex.org/W2110798204","https://openalex.org/W2112796928","https://openalex.org/W2118858186","https://openalex.org/W2136922672","https://openalex.org/W2144172034","https://openalex.org/W2145287260","https://openalex.org/W2147768505","https://openalex.org/W2154053567","https://openalex.org/W2155893237","https://openalex.org/W2163605009","https://openalex.org/W2168894214","https://openalex.org/W2169488311","https://openalex.org/W2179352600","https://openalex.org/W2218318129","https://openalex.org/W2402669826","https://openalex.org/W2546302380","https://openalex.org/W2950179405","https://openalex.org/W2953360861","https://openalex.org/W2963574257","https://openalex.org/W2963911037","https://openalex.org/W3037950864","https://openalex.org/W4294375521","https://openalex.org/W6600213771","https://openalex.org/W6638444622","https://openalex.org/W6639204139","https://openalex.org/W6645451754","https://openalex.org/W6674330103","https://openalex.org/W6676231585","https://openalex.org/W6676481782","https://openalex.org/W6677919164","https://openalex.org/W6681239517","https://openalex.org/W6684191040","https://openalex.org/W6685048874","https://openalex.org/W6688386640"],"related_works":["https://openalex.org/W2060724872","https://openalex.org/W2082094785","https://openalex.org/W2202198356","https://openalex.org/W3087203342","https://openalex.org/W2377184161","https://openalex.org/W228984114","https://openalex.org/W2090026684","https://openalex.org/W4226360758","https://openalex.org/W2907567977","https://openalex.org/W3153861134"],"abstract_inverted_index":{"The":[0],"human":[1],"vision":[2],"system":[3],"usually":[4],"has":[5],"a":[6,14,25,72,115,134],"specifically":[7],"activated":[8,51],"area":[9],"of":[10,16,48,61,80,88,98,111],"neurons":[11,36,52,60,148],"when":[12],"recognizing":[13],"category":[15],"images.":[17],"Inspired":[18],"by":[19,107],"this":[20,105],"visual":[21],"mechanism,":[22],"we":[23,56,102,131],"propose":[24],"layerwise":[26],"class-aware":[27],"convolutional":[28],"neural":[29],"network":[30,44,106,151],"architecture":[31],"to":[32,41,70,85,141,162],"explicitly":[33],"discover":[34],"category-tailored":[35],"on":[37,92,138],"intermediate":[38,62],"hidden":[39,81,112,129],"layers":[40,63,113],"improve":[42],"the":[43,66,78,86,89,96,99,109,119,146,150,157,163],"learning":[45],"ability.":[46],"Instead":[47],"directly":[49],"selecting":[50],"for":[53],"different":[54],"categories,":[55],"inversely":[57],"suppress":[58],"those":[59],"irrelevant":[64],"with":[65,95],"given":[67],"target":[68],"class":[69],"produce":[71],"class-specific":[73,124],"subnetwork,":[74],"which":[75],"implicitly":[76],"enhances":[77],"discriminability":[79],"layer":[82],"features":[83],"due":[84],"increase":[87],"inter-class":[90],"discrepancy":[91],"them.":[93],"Together":[94],"classifier":[97],"top":[100],"layer,":[101,130],"jointly":[103],"learn":[104],"formulating":[108],"suppressor":[110],"as":[114],"penalty":[116],"term":[117],"in":[118,127],"objective":[120],"function.":[121],"To":[122],"address":[123],"neuron":[125],"suppression":[126],"each":[128],"also":[132],"introduce":[133],"statistic":[135],"method":[136],"based":[137],"mutual":[139],"information":[140],"dynamically":[142],"and":[143],"automatically":[144],"update":[145],"suppressed":[147],"during":[149],"training.":[152],"Extensive":[153],"experiments":[154],"demonstrate":[155],"that":[156],"proposed":[158],"model":[159],"is":[160],"superior":[161],"state-of-the-art":[164],"models.":[165]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
