{"id":"https://openalex.org/W2889680312","doi":"https://doi.org/10.1109/wacv.2019.00047","title":"Deep Micro-Dictionary Learning and Coding Network","display_name":"Deep Micro-Dictionary Learning and Coding Network","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2889680312","doi":"https://doi.org/10.1109/wacv.2019.00047","mag":"2889680312"},"language":"en","primary_location":{"id":"doi:10.1109/wacv.2019.00047","doi":"https://doi.org/10.1109/wacv.2019.00047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2019.00047","pdf_url":null,"source":{"id":"https://openalex.org/S4393918690","display_name":"IEEE Winter Conference on Applications of Computer Vision","issn_l":"2472-6737","issn":["2472-6737"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1809.04185","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050748634","display_name":"Hao Tang","orcid":"https://orcid.org/0000-0002-2077-1246","observed_orcids":["https://orcid.org/0000-0002-2077-1246","https://orcid.org/0000-0002-6973-8121"]},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Hao Tang","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029599303","display_name":"Heng Wei","orcid":"https://orcid.org/0000-0001-5308-8593","observed_orcids":["https://orcid.org/0000-0001-5308-8593"]},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Heng Wei","raw_affiliation_strings":["Department of Electrical Engineering, Hong Kong Polytechnic Unversity, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Hong Kong Polytechnic Unversity, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wei Xiao","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Xiao","raw_affiliation_strings":["Lingxi Artificial Interlligence Co., Ltd, Shen Zhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lingxi Artificial Interlligence Co., Ltd, Shen Zhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100757829","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-8598-0831","observed_orcids":["https://orcid.org/0000-0002-8598-0831"]},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Computer Vision Laboratory, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Laboratory, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100341938","display_name":"Dan Xu","orcid":"https://orcid.org/0000-0003-0136-9603","observed_orcids":["https://orcid.org/0000-0003-0136-9603","https://orcid.org/0000-0002-7718-6224"]},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dan Xu","raw_affiliation_strings":["Department of Engineering Science, University of Oxford, Oxford, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering Science, University of Oxford, Oxford, UK","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100395035","display_name":"Yan Yan","orcid":"https://orcid.org/0000-0002-7618-119X","observed_orcids":["https://orcid.org/0000-0002-7618-119X","https://orcid.org/0000-0002-3674-7160","https://orcid.org/0009-0007-1227-8594","https://orcid.org/0000-0001-9108-6767","https://orcid.org/0000-0002-3182-1739","https://orcid.org/0000-0002-1669-0662"]},"institutions":[{"id":"https://openalex.org/I13511017","display_name":"Texas State University","ror":"https://ror.org/05h9q1g27","country_code":"US","type":"education","lineage":["https://openalex.org/I13511017"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yan Yan","raw_affiliation_strings":["Department of Computer Science, Texas State University, San Marcos, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Texas State University, San Marcos, USA","institution_ids":["https://openalex.org/I13511017"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027171279","display_name":"Nicu Sebe","orcid":"https://orcid.org/0000-0002-6597-7248","observed_orcids":["https://orcid.org/0000-0002-6597-7248"]},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicu Sebe","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6466,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.77196812,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"386","last_page":"395"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.36250001192092896,"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":0.36250001192092896,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.20090000331401825,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.13179999589920044,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/dictionary-learning","display_name":"dictionary learning","score":0.828000009059906},{"id":"https://openalex.org/keywords/overcomplete-dictionary","display_name":"overcomplete dictionary","score":0.8500000238418579},{"id":"https://openalex.org/keywords/locality-constraints","display_name":"locality constraints","score":0.9879999756813049},{"id":"https://openalex.org/keywords/deep-learning-architectures","display_name":"deep learning architectures","score":0.38199999928474426},{"id":"https://openalex.org/keywords/discriminative-representations","display_name":"discriminative representations","score":0.5690000057220459}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7988044023513794},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7221297025680542},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.7080591917037964},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6532427072525024},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6435487270355225},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.6089388728141785},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.5789303779602051},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5412499308586121},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5363849997520447},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5146759152412415},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.45225951075553894},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4121081829071045},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3647574782371521},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.361117422580719},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.24480175971984863},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07946005463600159},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"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":7,"locations":[{"id":"doi:10.1109/wacv.2019.00047","doi":"https://doi.org/10.1109/wacv.2019.00047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2019.00047","pdf_url":null,"source":{"id":"https://openalex.org/S4393918690","display_name":"IEEE Winter Conference on Applications of Computer Vision","issn_l":"2472-6737","issn":["2472-6737"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1809.04185","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1809.04185","pdf_url":"https://arxiv.org/pdf/1809.04185","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"raw_type":"text"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-105028","doi":null,"is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-105028","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"},{"id":"pmh:oai:infoscience.epfl.ch:267190","doi":null,"is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/267190","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I5124864","host_organization_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","host_organization_lineage":["https://openalex.org/I5124864"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference proceedings"},{"id":"pmh:oai:iris.unitn.it:11572/250749","doi":null,"is_oa":false,"landing_page_url":"https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063564932&doi=10.1109/WACV.2019.00047&partnerID=40&md5=327800f1ea48ed3c1a4f4bb24f57e533","pdf_url":null,"source":{"id":"https://openalex.org/S4377196320","display_name":"Iris (University of Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:repository.ust.hk:1783.1-105028","doi":null,"is_oa":false,"landing_page_url":"http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000469423400040","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"},{"id":"doi:10.48550/arxiv.1809.04185","doi":"https://doi.org/10.48550/arxiv.1809.04185","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1809.04185","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1809.04185","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1809.04185","pdf_url":"https://arxiv.org/pdf/1809.04185","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2889680312.pdf","grobid_xml":"https://content.openalex.org/works/W2889680312.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W269471817","https://openalex.org/W1051230991","https://openalex.org/W1496650988","https://openalex.org/W1568165162","https://openalex.org/W1576445103","https://openalex.org/W1591385104","https://openalex.org/W1616262590","https://openalex.org/W1849277567","https://openalex.org/W1916649859","https://openalex.org/W1961047828","https://openalex.org/W1982405594","https://openalex.org/W2003115311","https://openalex.org/W2017214807","https://openalex.org/W2021330120","https://openalex.org/W2027805700","https://openalex.org/W2027922120","https://openalex.org/W2060702420","https://openalex.org/W2065883119","https://openalex.org/W2082161064","https://openalex.org/W2082304113","https://openalex.org/W2084716923","https://openalex.org/W2097018403","https://openalex.org/W2104371740","https://openalex.org/W2112796928","https://openalex.org/W2114570910","https://openalex.org/W2123921160","https://openalex.org/W2124372976","https://openalex.org/W2129812935","https://openalex.org/W2134563198","https://openalex.org/W2137313500","https://openalex.org/W2145406111","https://openalex.org/W2151103935","https://openalex.org/W2153635508","https://openalex.org/W2154583877","https://openalex.org/W2157069239","https://openalex.org/W2160547390","https://openalex.org/W2164576411","https://openalex.org/W2165337236","https://openalex.org/W2195824540","https://openalex.org/W2222139869","https://openalex.org/W2254140767","https://openalex.org/W2254969944","https://openalex.org/W2267038056","https://openalex.org/W2291843384","https://openalex.org/W2296660860","https://openalex.org/W2304841027","https://openalex.org/W2315287060","https://openalex.org/W2324335215","https://openalex.org/W2407712691","https://openalex.org/W2415447328","https://openalex.org/W2421536562","https://openalex.org/W2525624297","https://openalex.org/W2558101675","https://openalex.org/W2559823555","https://openalex.org/W2585132294","https://openalex.org/W2732096896","https://openalex.org/W2736643867","https://openalex.org/W2754803257","https://openalex.org/W2951392118","https://openalex.org/W2994340921","https://openalex.org/W6634343353"],"related_works":["https://openalex.org/W3033581023","https://openalex.org/W2254140767","https://openalex.org/W4388677546","https://openalex.org/W3043263114","https://openalex.org/W2896637329","https://openalex.org/W7135011291","https://openalex.org/W2560042709","https://openalex.org/W2589565096","https://openalex.org/W4327662657","https://openalex.org/W2525018960"],"abstract_inverted_index":{"In":[0,102,142],"this":[1,103,143],"paper,":[2],"we":[3],"propose":[4],"a":[5,66,145],"novel":[6,41],"Deep":[7],"Micro-Dictionary":[8],"Learning":[9],"and":[10,45,91,99,148,170],"Coding":[11],"Network":[12],"(DDLCN).":[13],"DDLCN":[14,164,186],"has":[15],"most":[16],"of":[17,152],"the":[18,29,34,57,62,74,84,94,105,109,116,120,124,131,138,153,162,184],"standard":[19],"deep":[20,63,171],"learning":[21,44,50,98,168,172],"layers":[22,37],"(pooling,":[23],"fully,":[24],"connected,":[25],"input/output,":[26],"etc.)":[27],"but":[28],"main":[30],"difference":[31],"is":[32,69,127],"that":[33,73,183],"fundamental":[35],"convolutional":[36],"are":[38,78,88,135],"replaced":[39],"by":[40,115],"compound":[42,96],"dictionary":[43,49,55,76,86,97,126,140,154,167],"coding":[46,64,100],"layers.":[47,101],"The":[48,174],"layer":[51,111],"learns":[52],"an":[53],"over-complete":[54],"for":[56],"input":[58,139],"training":[59],"data.":[60],"At":[61],"layer,":[65],"locality":[67],"constraint":[68],"added":[70],"to":[71,80,93,129],"guarantee":[72],"activated":[75,85,106],"bases":[77],"close":[79],"each":[81],"other.":[82],"Next,":[83],"atoms":[87,107,118,155],"assembled":[89],"together":[90],"passed":[92],"next":[95],"way,":[104,144],"in":[108,119],"first":[110],"can":[112,156],"be":[113,157],"represented":[114],"deeper":[117],"second":[121,125],"dictionary.":[122],"Intuitively,":[123],"designed":[128],"learn":[130],"fine-grained":[132],"components":[133],"which":[134],"shared":[136],"among":[137],"atoms.":[141],"more":[146],"informative":[147],"discriminative":[149],"low-level":[150],"representation":[151],"obtained.":[158],"We":[159],"empirically":[160],"compare":[161],"proposed":[163,185],"with":[165,191],"several":[166],"methods":[169],"architectures.":[173],"experimental":[175],"results":[176,189],"on":[177],"four":[178],"popular":[179],"benchmark":[180],"datasets":[181],"demonstrate":[182],"achieves":[187],"competitive":[188],"compared":[190],"state-of-the-art":[192],"approaches.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2018-09-27T00:00:00"}