{"id":"https://openalex.org/W4391468254","doi":"https://doi.org/10.1109/tip.2024.3359331","title":"MemeNet: Toward a Reliable Local Projection for Image Recognition via Semantic Featurization","display_name":"MemeNet: Toward a Reliable Local Projection for Image Recognition via Semantic Featurization","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391468254","doi":"https://doi.org/10.1109/tip.2024.3359331","pmid":"https://pubmed.ncbi.nlm.nih.gov/38306266"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2024.3359331","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3359331","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101860586","display_name":"Jiacheng Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiacheng Tang","raw_affiliation_strings":["College of Electronic and Information Engineering, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006206015","display_name":"Qi Kang","orcid":"https://orcid.org/0000-0001-7128-6913"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Kang","raw_affiliation_strings":["College of Electronic and Information Engineering, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7128-6913","affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081318069","display_name":"MengChu Zhou","orcid":"https://orcid.org/0000-0002-5408-8752"},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengchu Zhou","raw_affiliation_strings":["College of Information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5408-8752","affiliations":[{"raw_affiliation_string":"College of Information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou, China","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104121327","display_name":"Hao Yin","orcid":"https://orcid.org/0009-0002-0665-2483"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Yin","raw_affiliation_strings":["College of Electronic and Information Engineering, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043674003","display_name":"Siya Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siya Yao","raw_affiliation_strings":["College of Information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou, China","institution_ids":["https://openalex.org/I75059550"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101860586"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":2.2069,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.88641813,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"33","issue":null,"first_page":"1670","last_page":"1682"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9713000059127808,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9713000059127808,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9706000089645386,"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"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9664000272750854,"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/computer-science","display_name":"Computer science","score":0.797523558139801},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7003490924835205},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6659307479858398},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6202146410942078},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5388208627700806},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4850394129753113},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.45276889204978943},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3878690004348755}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.797523558139801},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7003490924835205},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6659307479858398},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6202146410942078},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5388208627700806},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4850394129753113},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.45276889204978943},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3878690004348755},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2024.3359331","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3359331","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:38306266","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38306266","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6399999856948853}],"awards":[{"id":"https://openalex.org/G6212086944","display_name":null,"funder_award_id":"23ZR1466000","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"},{"id":"https://openalex.org/G6499523850","display_name":null,"funder_award_id":"51775385","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1978371851","https://openalex.org/W2029438113","https://openalex.org/W2030863907","https://openalex.org/W2117539524","https://openalex.org/W2123502857","https://openalex.org/W2138011018","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2606462007","https://openalex.org/W2892035503","https://openalex.org/W2902925364","https://openalex.org/W2905361499","https://openalex.org/W2948056727","https://openalex.org/W2949271011","https://openalex.org/W2962858109","https://openalex.org/W2963081790","https://openalex.org/W2963446712","https://openalex.org/W2981731882","https://openalex.org/W2988873313","https://openalex.org/W3004725381","https://openalex.org/W3030462281","https://openalex.org/W3034960471","https://openalex.org/W3041767384","https://openalex.org/W3044683644","https://openalex.org/W3096541186","https://openalex.org/W3107101469","https://openalex.org/W3107892667","https://openalex.org/W3113591763","https://openalex.org/W3118327669","https://openalex.org/W3118560954","https://openalex.org/W3129532749","https://openalex.org/W3135149107","https://openalex.org/W3136450870","https://openalex.org/W3142452884","https://openalex.org/W3163523308","https://openalex.org/W3165322078","https://openalex.org/W3174422331","https://openalex.org/W3183732083","https://openalex.org/W3187882975","https://openalex.org/W3197368102","https://openalex.org/W3215928733","https://openalex.org/W4206210655","https://openalex.org/W4282813370","https://openalex.org/W4294310652","https://openalex.org/W4386065251","https://openalex.org/W6637373629","https://openalex.org/W6729983426","https://openalex.org/W6734862562","https://openalex.org/W6735632633","https://openalex.org/W6737947904","https://openalex.org/W6748336101","https://openalex.org/W6750391026","https://openalex.org/W6753001334","https://openalex.org/W6758853676","https://openalex.org/W6760046893","https://openalex.org/W6760704161","https://openalex.org/W6774576976","https://openalex.org/W6781630272","https://openalex.org/W6787972765","https://openalex.org/W6788084180","https://openalex.org/W6791230863","https://openalex.org/W6803589069","https://openalex.org/W6846113813"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W3009369890","https://openalex.org/W4312490297","https://openalex.org/W2062212388"],"abstract_inverted_index":{"When":[0],"we":[1,12,56],"recognize":[2],"images":[3,90],"with":[4],"the":[5,40,47,81,102,150],"help":[6],"of":[7,43,83,105,117,135,153],"Artificial":[8],"Neural":[9,72],"Networks":[10],"(ANNs),":[11],"often":[13],"wonder":[14],"how":[15],"they":[16],"make":[17],"decisions.":[18],"A":[19,32],"widely":[20],"accepted":[21],"solution":[22],"is":[23,112,144],"to":[24,50,129,148,160],"point":[25],"out":[26],"local":[27,37,95],"features":[28,38,137],"as":[29],"decisive":[30],"evidence.":[31],"question":[33],"then":[34],"arises:":[35],"Can":[36],"in":[39,91],"latent":[41],"space":[42],"an":[44,110],"ANN":[45],"explain":[46],"model":[48],"output":[49],"some":[51],"extent?":[52],"In":[53],"this":[54,87],"work,":[55],"propose":[57],"a":[58,66,70,106,115,133,139,145,157],"modularized":[59],"framework":[60,88],"named":[61,97],"MemeNet":[62,124],"that":[63,123],"can":[64,125],"construct":[65],"reliable":[67,136,162],"surrogate":[68],"from":[69,101],"Convolutional":[71],"Network":[73],"(CNN)":[74],"without":[75],"changing":[76],"its":[77],"perception.":[78],"Inspired":[79],"by":[80],"idea":[82],"time":[84],"series":[85,116],"classification,":[86],"recognizes":[89],"two":[92],"steps.":[93],"First,":[94],"representations":[96],"memes":[98],"are":[99],"extracted":[100],"activation":[103],"map":[104],"CNN":[107],"model.":[108],"Then":[109],"image":[111],"transformed":[113],"into":[114],"understandable":[118],"features.":[119],"Experimental":[120],"results":[121],"show":[122],"achieve":[126],"accuracy":[127],"comparable":[128],"most":[130],"models'":[131],"through":[132],"set":[134],"and":[138],"simple":[140],"classifier.":[141],"Thus,":[142],"it":[143],"promising":[146],"interface":[147],"use":[149],"internal":[151],"dynamics":[152],"CNN,":[154],"which":[155],"represents":[156],"novel":[158],"approach":[159],"constructing":[161],"models.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-22T09:01:20.584952","created_date":"2024-02-03T00:00:00"}