{"id":"https://openalex.org/W4312947024","doi":"https://doi.org/10.1109/icspcc55723.2022.9984418","title":"Insulator Defect Detection Based on Feature Fusion and Attention Mechanism","display_name":"Insulator Defect Detection Based on Feature Fusion and Attention Mechanism","publication_year":2022,"publication_date":"2022-10-25","ids":{"openalex":"https://openalex.org/W4312947024","doi":"https://doi.org/10.1109/icspcc55723.2022.9984418"},"language":"en","primary_location":{"id":"doi:10.1109/icspcc55723.2022.9984418","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc55723.2022.9984418","pdf_url":null,"source":{"id":"https://openalex.org/S4363608295","display_name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","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 International Conference on Signal Processing, Communications and Computing (ICSPCC)","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/A5100333738","display_name":"Yue Zhang","orcid":"https://orcid.org/0000-0002-6327-5023"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Zhang","raw_affiliation_strings":["Northwestern Polytechnical University,School of Electronic Information,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Electronic Information,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069471202","display_name":"Baoguo Wei","orcid":"https://orcid.org/0000-0002-0626-2760"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoguo Wei","raw_affiliation_strings":["Northwestern Polytechnical University,School of Electronic Information,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Electronic Information,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085506778","display_name":"Lina Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lina Zhao","raw_affiliation_strings":["Northwestern Polytechnical University,School of Electronic Information,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Electronic Information,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103282500","display_name":"Jinwei Liu","orcid":"https://orcid.org/0009-0001-1384-3862"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinwei Liu","raw_affiliation_strings":["Northwestern Polytechnical University,School of Electronic Information,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Electronic Information,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049463933","display_name":"Zhilang Hao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121037","display_name":"China National Administration of Coal Geology","ror":"https://ror.org/0340xvs51","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210121037"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhilang Hao","raw_affiliation_strings":["Aero Photogrammetry and Remote Sensing Bureau of China Coal,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aero Photogrammetry and Remote Sensing Bureau of China Coal,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I4210121037"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100782093","display_name":"Lixin Li","orcid":"https://orcid.org/0000-0002-9980-2649"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixin Li","raw_affiliation_strings":["Northwestern Polytechnical University,School of Electronic Information,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Electronic Information,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101562626","display_name":"Li Xu","orcid":"https://orcid.org/0000-0002-4865-7904"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Li","raw_affiliation_strings":["Northwestern Polytechnical University,School of Electronic Information,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Electronic Information,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16071555,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9887999892234802,"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":0.9876999855041504,"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/insulator","display_name":"Insulator (electricity)","score":0.809482991695404},{"id":"https://openalex.org/keywords/fusion-mechanism","display_name":"Fusion mechanism","score":0.7003741264343262},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6834954023361206},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.6048277616500854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5530704259872437},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5065768957138062},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.49662691354751587},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.48394325375556946},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4740811586380005},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4569753110408783},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4419263005256653},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35366034507751465},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3232089877128601},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.13424676656723022},{"id":"https://openalex.org/keywords/optoelectronics","display_name":"Optoelectronics","score":0.09478771686553955}],"concepts":[{"id":"https://openalex.org/C212702","wikidata":"https://www.wikidata.org/wiki/Q178150","display_name":"Insulator (electricity)","level":2,"score":0.809482991695404},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.7003741264343262},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6834954023361206},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.6048277616500854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5530704259872437},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5065768957138062},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.49662691354751587},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.48394325375556946},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4740811586380005},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4569753110408783},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4419263005256653},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35366034507751465},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3232089877128601},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.13424676656723022},{"id":"https://openalex.org/C49040817","wikidata":"https://www.wikidata.org/wiki/Q193091","display_name":"Optoelectronics","level":1,"score":0.09478771686553955},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C103038307","wikidata":"https://www.wikidata.org/wiki/Q6556360","display_name":"Lipid bilayer fusion","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspcc55723.2022.9984418","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc55723.2022.9984418","pdf_url":null,"source":{"id":"https://openalex.org/S4363608295","display_name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","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 International Conference on Signal Processing, Communications and Computing (ICSPCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2243417253","https://openalex.org/W2550512190","https://openalex.org/W2565639579","https://openalex.org/W2884585870","https://openalex.org/W2897772777","https://openalex.org/W2900761535","https://openalex.org/W2944885551","https://openalex.org/W2962766617","https://openalex.org/W2963420686","https://openalex.org/W2963516811","https://openalex.org/W2985735046","https://openalex.org/W2991626090","https://openalex.org/W3034552520","https://openalex.org/W3034974675","https://openalex.org/W3042011474","https://openalex.org/W3158114921","https://openalex.org/W4298289240","https://openalex.org/W6637568146","https://openalex.org/W6753198114"],"related_works":["https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2988498288","https://openalex.org/W2152662039","https://openalex.org/W1991764124","https://openalex.org/W2786308501","https://openalex.org/W2012247345","https://openalex.org/W4318719019"],"abstract_inverted_index":{"The":[0,90],"performance":[1],"of":[2,70,110],"insulator":[3,30,104,115],"defect":[4,31],"detection":[5,32,69],"model":[6,97],"is":[7,44,64,76],"not":[8],"satisfactory":[9],"due":[10],"to":[11,46,50,66,78,82],"the":[12,48,68,84,95,102,108,111],"small":[13],"object":[14],"size,":[15],"imbalanced":[16],"and":[17,37,87],"insufficient":[18],"data.":[19],"In":[20,73],"this":[21],"paper,":[22],"based":[23,60],"on":[24,61,101],"YOLOv5":[25],"model,":[26],"we":[27],"propose":[28],"an":[29,57],"method":[33],"incorporating":[34],"feature":[35,42],"fusion":[36,43],"attention":[38,58],"mechanism.":[39],"Firstly,":[40],"multi-scale":[41],"introduced":[45],"strengthen":[47],"ability":[49],"extract":[51],"minute":[52],"features":[53],"from":[54],"images.":[55],"Secondly,":[56],"mechanism":[59],"SE-C":[62],"module":[63],"proposed":[65,96],"improve":[67],"defective":[71],"objects.":[72],"addition,":[74],"K-means++":[75],"used":[77],"customize":[79],"anchor":[80],"boxes":[81],"meet":[83],"actual":[85],"requirements":[86],"avoid":[88],"mismatches.":[89],"experimental":[91],"results":[92],"show":[93],"that":[94],"achieves":[98],"92.4%":[99],"precision":[100],"public":[103],"dataset,":[105],"which":[106],"demonstrates":[107],"applicability":[109],"auto-detection":[112],"system":[113],"for":[114],"defects":[116],"significantly.":[117]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
