{"id":"https://openalex.org/W4294811384","doi":"https://doi.org/10.1109/cec55065.2022.9870225","title":"Nantong Blue Calico Image Dataset and Its Recognition","display_name":"Nantong Blue Calico Image Dataset and Its Recognition","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4294811384","doi":"https://doi.org/10.1109/cec55065.2022.9870225"},"language":"en","primary_location":{"id":"doi:10.1109/cec55065.2022.9870225","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec55065.2022.9870225","pdf_url":null,"source":{"id":"https://openalex.org/S4363605353","display_name":"2022 IEEE Congress on Evolutionary Computation (CEC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2022 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-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/A5065857055","display_name":"Xiang Yu","orcid":"https://orcid.org/0000-0001-8200-7131"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]},{"id":"https://openalex.org/I4210117020","display_name":"Nantong Science and Technology Bureau","ror":"https://ror.org/02tx34m84","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210117020"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiang Yu","raw_affiliation_strings":["Soochow University,Department of Computer Science and Technology,Soochow,China","Department of Computer Science and Technology, Nantong Vocational College of Science & Technology, Nantong, China","Department of Computer Science and Technology, Soochow University, Soochow, China"],"raw_orcid":"https://orcid.org/0000-0001-8200-7131","affiliations":[{"raw_affiliation_string":"Soochow University,Department of Computer Science and Technology,Soochow,China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Nantong Vocational College of Science & Technology, Nantong, China","institution_ids":["https://openalex.org/I4210117020"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Soochow University, Soochow, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425448","display_name":"Li Zhang","orcid":"https://orcid.org/0000-0001-7914-0679"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Zhang","raw_affiliation_strings":["Soochow University,Department of Computer Science and Technology,Soochow,China","Department of Computer Science and Technology, Soochow University, Soochow, China"],"raw_orcid":"https://orcid.org/0000-0001-7914-0679","affiliations":[{"raw_affiliation_string":"Soochow University,Department of Computer Science and Technology,Soochow,China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Soochow University, Soochow, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052712167","display_name":"Mei Shen","orcid":"https://orcid.org/0000-0001-8929-601X"},"institutions":[{"id":"https://openalex.org/I4210117020","display_name":"Nantong Science and Technology Bureau","ror":"https://ror.org/02tx34m84","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210117020"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mei Shen","raw_affiliation_strings":["Nantong Vocational College of Science &#x0026; Technology,Department of Computer Science and Technology,Nantong,China"],"raw_orcid":"https://orcid.org/0000-0001-8929-601X","affiliations":[{"raw_affiliation_string":"Nantong Vocational College of Science &#x0026; Technology,Department of Computer Science and Technology,Nantong,China","institution_ids":["https://openalex.org/I4210117020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065857055"],"corresponding_institution_ids":["https://openalex.org/I3923682","https://openalex.org/I4210117020"],"apc_list":null,"apc_paid":null,"fwci":1.3821,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78473177,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9742000102996826,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9742000102996826,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9735999703407288,"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":0.9697999954223633,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6905837059020996},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.6093059778213501},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6069257855415344},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5315980911254883},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5236687064170837},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4750649631023407},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47034934163093567},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.43301069736480713},{"id":"https://openalex.org/keywords/residual-neural-network","display_name":"Residual neural network","score":0.43167591094970703},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4216369390487671},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.055114686489105225}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6905837059020996},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.6093059778213501},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6069257855415344},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5315980911254883},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5236687064170837},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4750649631023407},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47034934163093567},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.43301069736480713},{"id":"https://openalex.org/C2944601119","wikidata":"https://www.wikidata.org/wiki/Q43744058","display_name":"Residual neural network","level":3,"score":0.43167591094970703},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4216369390487671},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.055114686489105225},{"id":"https://openalex.org/C505870484","wikidata":"https://www.wikidata.org/wiki/Q180538","display_name":"Fishery","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec55065.2022.9870225","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec55065.2022.9870225","pdf_url":null,"source":{"id":"https://openalex.org/S4363605353","display_name":"2022 IEEE Congress on Evolutionary Computation (CEC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2022 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1360534382","display_name":null,"funder_award_id":"JC2020140","funder_id":"https://openalex.org/F4320325635","funder_display_name":"Nantong Science and Technology Bureau"}],"funders":[{"id":"https://openalex.org/F4320325635","display_name":"Nantong Science and Technology Bureau","ror":"https://ror.org/02tx34m84"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W82699511","https://openalex.org/W1686810756","https://openalex.org/W2097117768","https://openalex.org/W2151103935","https://openalex.org/W2194775991","https://openalex.org/W2618530766","https://openalex.org/W2914885528","https://openalex.org/W2980293841","https://openalex.org/W2996623493","https://openalex.org/W3005356852","https://openalex.org/W3015952136","https://openalex.org/W3040878389","https://openalex.org/W3041999525","https://openalex.org/W6637373629"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W3213976941","https://openalex.org/W4285161415","https://openalex.org/W2604192360"],"abstract_inverted_index":{"Nantong":[0,32,69,82,167],"blue":[1,33,47,70,83,148,168],"calico":[2,71,84,149,169],"is":[3,24,54,144],"a":[4,20,28,43,57,75,156],"kind":[5],"of":[6,51,68,81,114,134],"important":[7],"intangible":[8],"cultural":[9],"heritages":[10],"in":[11,19,136],"China.":[12],"To":[13],"better":[14],"safeguard":[15],"and":[16,73,100,111,124,192,200],"inherit":[17],"it":[18,23,143],"digital":[21],"way,":[22],"necessary":[25],"to":[26,55,146],"construct":[27],"large-scale":[29],"dataset":[30,45,60,199],"for":[31,46,78,166],"calico.":[34,48],"As":[35,155],"so":[36],"far,":[37],"however,":[38],"we":[39,89,106],"could":[40],"not":[41],"find":[42],"public":[44,58],"The":[49],"goal":[50],"this":[52,87,158],"paper":[53],"give":[56],"image":[59,170],"which":[61,140],"named":[62],"<tex":[63,175],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[64,176],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$N$</tex>":[65,177],"tBC":[66,178],"consisting":[67],"patterns":[72,150,186],"provide":[74],"baseline":[76,92,164],"result":[77,159,165],"the":[79,95,137,161,198],"recognition":[80,138],"patterns.":[85],"In":[86],"paper,":[88],"perform":[90],"several":[91],"experiments":[93],"on":[94,183],"NtBC":[96],"dataset,":[97],"including":[98,120],"handcrafted":[99,109],"deep":[101,152],"feature":[102],"based":[103],"classification":[104],"methods.":[105,154],"compare":[107],"some":[108],"methods":[110],"four":[112],"kinds":[113],"popular":[115],"convolutional":[116],"neural":[117],"networks":[118],"(CNNs),":[119],"ResNet-50,":[121],"AlexNet,":[122],"GoogLeNet-V1":[123],"VGGNet-16.":[125],"Experimental":[126],"results":[127],"show":[128],"that":[129,142],"ResNet-50":[130],"yields":[131],"an":[132],"accuracy":[133],"93.8%":[135],"performance,":[139],"shows":[141],"efficient":[145],"classify":[147],"through":[151],"learning":[153,194],"consequence,":[157],"provides":[160],"current":[162],"best":[163],"recognition.":[171],"We":[172,196],"believe":[173],"our":[174],"will":[179],"facilitate":[180],"future":[181],"research":[182],"Chinese":[184],"traditional":[185],"development,":[187],"fine":[188],"grained":[189],"visual":[190],"classification,":[191],"imbalanced":[193],"fields.":[195],"make":[197],"pre-trained":[201],"models":[202],"publicly":[203],"available":[204],"at":[205],"https://github.com/facebook/react.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}