{"id":"https://openalex.org/W4385485708","doi":"https://doi.org/10.1145/3594315.3594656","title":"Lightweight Fabric Defect Detection Based on Improved YOLOv4","display_name":"Lightweight Fabric Defect Detection Based on Improved YOLOv4","publication_year":2023,"publication_date":"2023-03-17","ids":{"openalex":"https://openalex.org/W4385485708","doi":"https://doi.org/10.1145/3594315.3594656"},"language":"en","primary_location":{"id":"doi:10.1145/3594315.3594656","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3594315.3594656","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 9th International Conference on Computing and Artificial Intelligence","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/A5031973720","display_name":"Qing Ni","orcid":"https://orcid.org/0000-0003-4185-3440"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Ni","raw_affiliation_strings":["School of Computer Science & Technology, Donghua University, China"],"raw_orcid":"https://orcid.org/0000-0003-4185-3440","affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology, Donghua University, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101441851","display_name":"Xin Luo","orcid":"https://orcid.org/0000-0002-4448-8971"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Luo","raw_affiliation_strings":["School of Computer Science & Technology, Donghua University, China"],"raw_orcid":"https://orcid.org/0000-0002-4448-8971","affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology, Donghua University, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081024936","display_name":"Ran Tao","orcid":"https://orcid.org/0000-0002-7343-6388"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Tao","raw_affiliation_strings":["School of Computer Science & Technology, Donghua University, China"],"raw_orcid":"https://orcid.org/0000-0002-7343-6388","affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology, Donghua University, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041681148","display_name":"Youqun Shi","orcid":"https://orcid.org/0009-0002-3907-5555"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youqun Shi","raw_affiliation_strings":["School of Computer Science & Technology, Donghua University, China"],"raw_orcid":"https://orcid.org/0009-0002-3907-5555","affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology, Donghua University, China","institution_ids":["https://openalex.org/I181326427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I181326427"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15135292,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"288","last_page":"294"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9700000286102295,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9516000151634216,"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/computer-science","display_name":"Computer science","score":0.7484237551689148},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6419117450714111},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6262516379356384},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6067278385162354},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5130282640457153},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.49081215262413025},{"id":"https://openalex.org/keywords/textile","display_name":"Textile","score":0.4808829128742218},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4740816354751587},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.45381802320480347},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.43630093336105347},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4267386794090271},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.42427361011505127},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4046933054924011},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2720373868942261},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15658137202262878},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.10741892457008362},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09738853573799133}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7484237551689148},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6419117450714111},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6262516379356384},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6067278385162354},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5130282640457153},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.49081215262413025},{"id":"https://openalex.org/C164767435","wikidata":"https://www.wikidata.org/wiki/Q28823","display_name":"Textile","level":2,"score":0.4808829128742218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4740816354751587},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.45381802320480347},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.43630093336105347},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4267386794090271},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.42427361011505127},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4046933054924011},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2720373868942261},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15658137202262878},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.10741892457008362},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09738853573799133},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3594315.3594656","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3594315.3594656","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 9th International Conference on Computing and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G478232123","display_name":null,"funder_award_id":"20D111201","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8862684424","display_name":null,"funder_award_id":"2020YFB1707700","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2132267237","https://openalex.org/W2193145675","https://openalex.org/W2570343428","https://openalex.org/W2945490540","https://openalex.org/W2963037989","https://openalex.org/W2989604896","https://openalex.org/W3048925712","https://openalex.org/W3106250896","https://openalex.org/W3216355748","https://openalex.org/W4206239776"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2810679507","https://openalex.org/W2964954556","https://openalex.org/W3034421924","https://openalex.org/W2982536526","https://openalex.org/W4386858688","https://openalex.org/W4380302312","https://openalex.org/W3008689640","https://openalex.org/W4385338604","https://openalex.org/W3081626085"],"abstract_inverted_index":{"Fabric":[0],"quality":[1],"is":[2,18,40,86,108,147,159],"crucial":[3],"for":[4,162],"subsequent":[5],"production,":[6],"so":[7],"automated":[8],"detection":[9,26,35,118,134,139,145,165],"of":[10,13,24,47,51,63,125,141,154,166],"different":[11],"types":[12],"defects":[14,53,57],"on":[15,38],"fabric":[16,33,52],"surfaces":[17],"essential.":[19],"To":[20],"improve":[21,93],"the":[22,25,45,60,64,70,81,94,100,105,112,116,122,132,155,163,170],"applicability":[23],"model":[27,101,113,117],"in":[28,67,84],"textile":[29,126,167],"factories,":[30],"a":[31,75],"lightweight":[32],"defect":[34,133],"method":[36],"based":[37],"YOLOv4":[39,68,85],"proposed,":[41],"which":[42,158],"firstly":[43],"addresses":[44],"characteristics":[46],"large":[48,95],"scale":[49,77],"transformation":[50],"and":[54,98,143],"more":[55,160],"small":[56],"by":[58],"combining":[59],"shallow":[61],"features":[62,72],"11th":[65],"layer":[66],"with":[69,136],"deep":[71],"to":[73,88,92,110,120],"generate":[74],"new":[76],"feature":[78],"layer;":[79],"secondly,":[80],"SPP":[82],"structure":[83],"improved":[87,129],"using":[89],"pooling":[90,96],"decomposition":[91],"kernel":[97],"increase":[99],"computation":[102],"speed;":[103],"finally,":[104],"depth-separable":[106],"convolution":[107],"introduced":[109],"optimize":[111],"size,":[114],"making":[115],"faster":[119,151],"meet":[121],"actual":[123,164],"needs":[124],"mills.":[127],"The":[128],"network":[130],"improves":[131],"accuracy,":[135],"an":[137],"average":[138],"accuracy":[140],"79.31%,":[142],"its":[144],"speed":[146],"also":[148],"5":[149],"times":[150],"than":[152,169],"that":[153],"original":[156,171],"YOLOv4,":[157],"suitable":[161],"mills":[168],"YOLOv4.":[172]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}