{"id":"https://openalex.org/W2962828890","doi":"https://doi.org/10.1109/tmm.2017.2788205","title":"CUNet: A Compact Unsupervised Network for Image Classification","display_name":"CUNet: A Compact Unsupervised Network for Image Classification","publication_year":2017,"publication_date":"2017-12-29","ids":{"openalex":"https://openalex.org/W2962828890","doi":"https://doi.org/10.1109/tmm.2017.2788205","mag":"2962828890"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2017.2788205","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2017.2788205","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/40683/1/Zhang%20CUNet%20A%20Compact%202017%20Accepted.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101960393","display_name":"Le Dong","orcid":"https://orcid.org/0000-0002-4198-5702"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Le Dong","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100583331","display_name":"Ling He","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling He","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070952823","display_name":"Mengdie Mao","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengdie Mao","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040645399","display_name":"Gaipeng Kong","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gaipeng Kong","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030763508","display_name":"Xi Wu","orcid":"https://orcid.org/0000-0002-7659-1631"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Wu","raw_affiliation_strings":["School of Computer Science, Chengdu University of Information Technology, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067368513","display_name":"Qianni Zhang","orcid":"https://orcid.org/0000-0001-7685-2187"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qianni Zhang","raw_affiliation_strings":["School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068837264","display_name":"Xiaochun Cao","orcid":"https://orcid.org/0000-0001-7141-708X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaochun Cao","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058530878","display_name":"Ebroul Izquierdo","orcid":"https://orcid.org/0000-0002-7142-3970"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ebroul Izquierdo","raw_affiliation_strings":["School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5101960393"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":1.2942,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.88519236,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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/T10824","display_name":"Image Retrieval and Classification Techniques","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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9980000257492065,"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":0.8108575940132141},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7548583745956421},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.723683774471283},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6924285888671875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6759766340255737},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.6385306715965271},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6177209615707397},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5825007557868958},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5664579272270203},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4908366799354553},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4736679196357727},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.47346392273902893},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46130186319351196},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.46038082242012024},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4573601484298706},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34724417328834534},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.339893102645874}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8108575940132141},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7548583745956421},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.723683774471283},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6924285888671875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6759766340255737},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.6385306715965271},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6177209615707397},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5825007557868958},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5664579272270203},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4908366799354553},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4736679196357727},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.47346392273902893},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46130186319351196},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.46038082242012024},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4573601484298706},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34724417328834534},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.339893102645874},{"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/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tmm.2017.2788205","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2017.2788205","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"},{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/40683","is_oa":true,"landing_page_url":"http://qmro.qmul.ac.uk/xmlui/handle/123456789/40683","pdf_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/40683/1/Zhang%20CUNet%20A%20Compact%202017%20Accepted.pdf","source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/40683","is_oa":true,"landing_page_url":"http://qmro.qmul.ac.uk/xmlui/handle/123456789/40683","pdf_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/40683/1/Zhang%20CUNet%20A%20Compact%202017%20Accepted.pdf","source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2378280670","display_name":null,"funder_award_id":"61772114","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3877722261","display_name":null,"funder_award_id":"6137014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4781244582","display_name":null,"funder_award_id":"GX2016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4805700008","display_name":null,"funder_award_id":"61370149","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5449330877","display_name":null,"funder_award_id":"U1605252","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6862676600","display_name":null,"funder_award_id":"61650202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8940190276","display_name":null,"funder_award_id":"ZYGX2016J077","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2962828890.pdf","grobid_xml":"https://content.openalex.org/works/W2962828890.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W1616262590","https://openalex.org/W1655786104","https://openalex.org/W1665214252","https://openalex.org/W1815076433","https://openalex.org/W1849277567","https://openalex.org/W1887168758","https://openalex.org/W1972662507","https://openalex.org/W2008989859","https://openalex.org/W2019863495","https://openalex.org/W2033832873","https://openalex.org/W2055600015","https://openalex.org/W2072072671","https://openalex.org/W2093864416","https://openalex.org/W2096987362","https://openalex.org/W2103444992","https://openalex.org/W2104985274","https://openalex.org/W2114570910","https://openalex.org/W2118858186","https://openalex.org/W2123872146","https://openalex.org/W2128744540","https://openalex.org/W2129793592","https://openalex.org/W2130325614","https://openalex.org/W2139006302","https://openalex.org/W2141779515","https://openalex.org/W2144578488","https://openalex.org/W2147860648","https://openalex.org/W2161106546","https://openalex.org/W2161381512","https://openalex.org/W2163605009","https://openalex.org/W2163922914","https://openalex.org/W2167383966","https://openalex.org/W2169488311","https://openalex.org/W2217045154","https://openalex.org/W2218318129","https://openalex.org/W2293078015","https://openalex.org/W2294059674","https://openalex.org/W2508497007","https://openalex.org/W2618530766","https://openalex.org/W2949578333","https://openalex.org/W2963574257","https://openalex.org/W2963911037","https://openalex.org/W3102431071","https://openalex.org/W4298136354","https://openalex.org/W6637081857","https://openalex.org/W6637242042","https://openalex.org/W6638444622","https://openalex.org/W6638545294","https://openalex.org/W6639204139","https://openalex.org/W6639497797","https://openalex.org/W6639736908","https://openalex.org/W6675541922","https://openalex.org/W6675679973","https://openalex.org/W6677233944","https://openalex.org/W6677919164","https://openalex.org/W6678131844","https://openalex.org/W6679233511","https://openalex.org/W6681636949","https://openalex.org/W6685048874","https://openalex.org/W6688386640","https://openalex.org/W6688434968","https://openalex.org/W6696761078"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W2900413183","https://openalex.org/W147410782","https://openalex.org/W2748667022","https://openalex.org/W2761785940","https://openalex.org/W3211770882","https://openalex.org/W2971377935","https://openalex.org/W2010629964","https://openalex.org/W2983135586"],"abstract_inverted_index":{"In":[0,93],"this":[1],"paper,":[2],"we":[3,60,118],"propose":[4,61],"a":[5,62],"compact":[6,9],"network":[7,11,85],"called":[8],"unsupervised":[10],"(CUNet)":[12],"to":[13,80,127,140],"address":[14],"the":[15,20,32,51,84,94,103,121,129,142,146],"image":[16,37,91],"classification":[17,82,143],"challenge.":[18],"Contrasting":[19],"usual":[21],"learning":[22,28],"approach":[23,40],"of":[24,72,145],"convolutional":[25],"neural":[26],"networks,":[27],"is":[29],"achieved":[30],"by":[31],"simple":[33],"K-means":[34],"on":[35,124,135],"diverse":[36],"patches.":[38],"This":[39,77],"performs":[41],"well":[42],"even":[43],"with":[44],"scarcely":[45],"labeled":[46],"training":[47],"images,":[48],"greatly":[49],"reducing":[50],"computational":[52],"cost,":[53],"while":[54],"maintaining":[55],"high":[56],"discriminative":[57],"power.":[58],"Furthermore,":[59],"new":[63],"weighted":[64],"pooling":[65],"method":[66],"in":[67,102,111],"which":[68],"different":[69],"weighting":[70],"values":[71],"adjacent":[73,125],"neurons":[74],"are":[75,138],"considered.":[76],"strategy":[78],"leads":[79],"improved":[81],"since":[83],"becomes":[86],"more":[87],"robust":[88],"against":[89],"small":[90],"distortions.":[92],"output":[95],"layer,":[96,106],"CUNet":[97,148],"integrates":[98],"feature":[99,116],"maps":[100],"obtained":[101],"last":[104],"hidden":[105],"and":[107],"straightforwardly":[108],"computes":[109],"histograms":[110],"nonoverlapped":[112],"blocks.":[113],"To":[114],"reduce":[115],"redundancy,":[117],"also":[119],"implement":[120],"max-pooling":[122],"operation":[123],"blocks":[126],"select":[128],"most":[130],"competitive":[131],"features.":[132],"Comprehensive":[133],"experiments":[134],"well-established":[136],"databases":[137],"conducted":[139],"validate":[141],"performances":[144],"introduced":[147],"approach.":[149]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}