{"id":"https://openalex.org/W4283326746","doi":"https://doi.org/10.3390/s22134718","title":"Online Detection of Fabric Defects Based on Improved CenterNet with Deformable Convolution","display_name":"Online Detection of Fabric Defects Based on Improved CenterNet with Deformable Convolution","publication_year":2022,"publication_date":"2022-06-22","ids":{"openalex":"https://openalex.org/W4283326746","doi":"https://doi.org/10.3390/s22134718","pmid":"https://pubmed.ncbi.nlm.nih.gov/35808215"},"language":"en","primary_location":{"id":"doi:10.3390/s22134718","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22134718","pdf_url":"https://www.mdpi.com/1424-8220/22/13/4718/pdf?version=1655902295","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/13/4718/pdf?version=1655902295","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053494367","display_name":"Jun Xiang","orcid":"https://orcid.org/0000-0001-5177-0812"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Xiang","raw_affiliation_strings":["School of Textile Science & Engineering, Jiangnan University, No. 1800, Lihu Avenue, Wuxi 214122, China"],"raw_orcid":"https://orcid.org/0000-0001-5177-0812","affiliations":[{"raw_affiliation_string":"School of Textile Science & Engineering, Jiangnan University, No. 1800, Lihu Avenue, Wuxi 214122, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000810293","display_name":"Ruru Pan","orcid":"https://orcid.org/0000-0002-2378-2266"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruru Pan","raw_affiliation_strings":["School of Textile Science & Engineering, Jiangnan University, No. 1800, Lihu Avenue, Wuxi 214122, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Textile Science & Engineering, Jiangnan University, No. 1800, Lihu Avenue, Wuxi 214122, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101685102","display_name":"Weidong Gao","orcid":"https://orcid.org/0000-0002-6230-9527"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weidong Gao","raw_affiliation_strings":["School of Textile Science & Engineering, Jiangnan University, No. 1800, Lihu Avenue, Wuxi 214122, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Textile Science & Engineering, Jiangnan University, No. 1800, Lihu Avenue, Wuxi 214122, China","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101685102"],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":2.1673,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88324785,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"22","issue":"13","first_page":"4718","last_page":"4718"},"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":1.0,"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":1.0,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9674999713897705,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9646999835968018,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7304139733314514},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6553947925567627},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6241892576217651},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.610986053943634},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5957826375961304},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5024130344390869},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.24278706312179565},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1569289267063141},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09241557121276855}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7304139733314514},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6553947925567627},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6241892576217651},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.610986053943634},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5957826375961304},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5024130344390869},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.24278706312179565},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1569289267063141},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09241557121276855},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22134718","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22134718","pdf_url":"https://www.mdpi.com/1424-8220/22/13/4718/pdf?version=1655902295","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:35808215","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35808215","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:c4652bc2ba374169a3b59c1837ad89e0","is_oa":true,"landing_page_url":"https://doaj.org/article/c4652bc2ba374169a3b59c1837ad89e0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 13, p 4718 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/13/4718/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22134718","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 13; Pages: 4718","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9269671","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9269671","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22134718","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22134718","pdf_url":"https://www.mdpi.com/1424-8220/22/13/4718/pdf?version=1655902295","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G4166231322","display_name":null,"funder_award_id":"61976105","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"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4283326746.pdf"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1483870316","https://openalex.org/W1536680647","https://openalex.org/W1583353576","https://openalex.org/W1861492603","https://openalex.org/W2005219590","https://openalex.org/W2053996691","https://openalex.org/W2082233783","https://openalex.org/W2102605133","https://openalex.org/W2163605009","https://openalex.org/W2193145675","https://openalex.org/W2257979135","https://openalex.org/W2344428106","https://openalex.org/W2565639579","https://openalex.org/W2585384933","https://openalex.org/W2601564443","https://openalex.org/W2613718673","https://openalex.org/W2765811365","https://openalex.org/W2766447205","https://openalex.org/W2890747436","https://openalex.org/W2899607431","https://openalex.org/W2921163360","https://openalex.org/W2925359305","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963881378","https://openalex.org/W2964241181","https://openalex.org/W2964444661","https://openalex.org/W2994817145","https://openalex.org/W3011393735","https://openalex.org/W3012573144","https://openalex.org/W3014641072","https://openalex.org/W3034971973","https://openalex.org/W3037175147","https://openalex.org/W3092462694","https://openalex.org/W3096609285","https://openalex.org/W3106250896","https://openalex.org/W4389665201","https://openalex.org/W6687483927","https://openalex.org/W6739901393","https://openalex.org/W6767563556","https://openalex.org/W6775560624"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"The":[0,65,152,176],"traditional":[1],"manual":[2],"defect":[3,27,89,117,129],"detection":[4,23,36,90,94,178],"method":[5,159],"has":[6],"low":[7],"efficiency":[8],"and":[9,12,35,41,60,102,131,166],"is":[10,73],"time-consuming":[11],"laborious.":[13],"To":[14],"address":[15],"this":[16,18],"issue,":[17],"paper":[19],"proposed":[20,150,174],"an":[21,47,92],"automatic":[22],"framework":[24],"for":[25],"fabric":[26,45,88,116],"detection,":[28,106,118],"which":[29,168,190],"consists":[30],"of":[31,44,55,69,80,87,105,111,122,134,140,148,164,172,180],"a":[32,61,161],"hardware":[33],"system":[34,183],"algorithm.":[37],"For":[38],"the":[39,70,85,100,120,132,146,170,173,181,193],"efficient":[40,115],"high-quality":[42],"acquisition":[43,49,67],"images,":[46],"image":[48,66],"assembly":[50],"equipped":[51],"with":[52],"three":[53],"sets":[54],"lights":[56],"sources,":[57],"eight":[58],"cameras,":[59],"mirror":[62],"was":[63],"developed.":[64],"speed":[68,179],"developed":[71,182],"device":[72],"up":[74],"to":[75,113,125,127,136,138],"65":[76],"m":[77,187],"per":[78,188],"minute":[79],"fabric.":[81],"This":[82],"study":[83],"treats":[84],"problem":[86],"as":[91],"object":[93],"task":[95],"in":[96],"machine":[97],"vision.":[98],"Considering":[99],"real-time":[101,194],"precision":[103],"requirements":[104],"we":[107],"improved":[108],"some":[109],"components":[110],"CenterNet":[112],"achieve":[114],"including":[119],"introduction":[121,133],"deformable":[123],"convolution":[124],"adapt":[126,137],"different":[128,141],"shapes":[130],"i-FPN":[135],"defects":[139],"sizes.":[142],"Ablation":[143],"studies":[144],"demonstrate":[145,169],"effectiveness":[147],"our":[149,158],"improvements.":[151],"comparative":[153],"experimental":[154],"results":[155],"show":[156],"that":[157],"achieves":[160],"satisfactory":[162],"balance":[163],"accuracy":[165],"speed,":[167],"superiority":[171],"method.":[175],"maximum":[177],"can":[184,191],"reach":[185],"37.3":[186],"minute,":[189],"meet":[192],"requirements.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}