{"id":"https://openalex.org/W4400905333","doi":"https://doi.org/10.1109/access.2024.3432660","title":"Scale Adaptive Attention Network for Accurate Defect Detection From Metal Parts","display_name":"Scale Adaptive Attention Network for Accurate Defect Detection From Metal Parts","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400905333","doi":"https://doi.org/10.1109/access.2024.3432660"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3432660","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3432660","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3432660","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113300414","display_name":"Zijiao Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zijiao Sun","raw_affiliation_strings":["Department of Mechatronics and Automotive Engineering, Qingyuan Polytechnic, Qingyuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechatronics and Automotive Engineering, Qingyuan Polytechnic, Qingyuan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaohong Wang","orcid":"https://orcid.org/0009-0006-2476-5173"},"institutions":[{"id":"https://openalex.org/I4210152737","display_name":"Jinhua University of Vocational Technology","ror":"https://ror.org/047hbb113","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152737"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohong Wang","raw_affiliation_strings":["Department of Automobile Engineering, Jining Polytechnic, Jining, China"],"raw_orcid":"https://orcid.org/0009-0006-2476-5173","affiliations":[{"raw_affiliation_string":"Department of Automobile Engineering, Jining Polytechnic, Jining, China","institution_ids":["https://openalex.org/I4210152737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088144849","display_name":"Fang Luo","orcid":"https://orcid.org/0000-0001-5604-9661"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fang Luo","raw_affiliation_strings":["Department of Mechatronics and Automotive Engineering, Qingyuan Polytechnic, Qingyuan, China"],"raw_orcid":"https://orcid.org/0000-0001-5604-9661","affiliations":[{"raw_affiliation_string":"Department of Mechatronics and Automotive Engineering, Qingyuan Polytechnic, Qingyuan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100604720","display_name":"Zhiliang Zhang","orcid":"https://orcid.org/0009-0001-9306-7989"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiliang Zhang","raw_affiliation_strings":["Department of Mechatronics and Automotive Engineering, Qingyuan Polytechnic, Qingyuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechatronics and Automotive Engineering, Qingyuan Polytechnic, Qingyuan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006548057","display_name":"Yanghui Li","orcid":"https://orcid.org/0000-0003-1998-9069"},"institutions":[{"id":"https://openalex.org/I4210120302","display_name":"Shunde Polytechnic","ror":"https://ror.org/01w9d4603","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210120302"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanghui Li","raw_affiliation_strings":["Department of Information Technology and Creative Arts, Qingyuan Polytechnic, Qingyuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology and Creative Arts, Qingyuan Polytechnic, Qingyuan, China","institution_ids":["https://openalex.org/I4210120302"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.8443,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75837857,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"12","issue":null,"first_page":"131035","last_page":"131043"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.986299991607666,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9419999718666077,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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":0.666492760181427},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.628865122795105},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5337169170379639},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5317441821098328},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.510441243648529},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4401794970035553},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41028594970703125},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34362345933914185},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.13585010170936584},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11051791906356812}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.666492760181427},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.628865122795105},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5337169170379639},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5317441821098328},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.510441243648529},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4401794970035553},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41028594970703125},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34362345933914185},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.13585010170936584},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11051791906356812},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3432660","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3432660","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0a93f798aa2243e387795433d194edfb","is_oa":true,"landing_page_url":"https://doaj.org/article/0a93f798aa2243e387795433d194edfb","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":"IEEE Access, Vol 12, Pp 131035-131043 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3432660","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3432660","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6753603821","display_name":null,"funder_award_id":"51975129","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":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W2109925328","https://openalex.org/W2194775991","https://openalex.org/W2333412993","https://openalex.org/W2589306531","https://openalex.org/W2736973763","https://openalex.org/W2793435880","https://openalex.org/W2904559969","https://openalex.org/W2944303778","https://openalex.org/W2963433607","https://openalex.org/W2990451840","https://openalex.org/W2994615081","https://openalex.org/W2998291476","https://openalex.org/W3023868590","https://openalex.org/W3038611424","https://openalex.org/W3044101148","https://openalex.org/W3045186275","https://openalex.org/W3048815401","https://openalex.org/W3090689398","https://openalex.org/W3092466439","https://openalex.org/W3118600296","https://openalex.org/W3136431771","https://openalex.org/W3138391094","https://openalex.org/W3147184966","https://openalex.org/W3169651898","https://openalex.org/W3179138709","https://openalex.org/W3180067646","https://openalex.org/W3208797540","https://openalex.org/W3214308028","https://openalex.org/W4200434100","https://openalex.org/W4212919149","https://openalex.org/W4213019189","https://openalex.org/W4214694907","https://openalex.org/W4221022348","https://openalex.org/W4226227621","https://openalex.org/W4287887190","https://openalex.org/W4312298392","https://openalex.org/W4312772600","https://openalex.org/W4323914153","https://openalex.org/W4388983904","https://openalex.org/W4390872785","https://openalex.org/W4390872846","https://openalex.org/W4391992447","https://openalex.org/W6766978945","https://openalex.org/W6777869702","https://openalex.org/W6781627986","https://openalex.org/W6802573413","https://openalex.org/W6803919275","https://openalex.org/W6808515056"],"related_works":["https://openalex.org/W2357256365","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W2348502264","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W2365486383","https://openalex.org/W2362059367","https://openalex.org/W4390494008"],"abstract_inverted_index":{"Metal":[0],"component":[1,23],"defect":[2,47,65,107],"detection":[3,66,155],"plays":[4],"an":[5],"important":[6],"role":[7],"in":[8,152,156],"industrial":[9],"manufacturing.":[10,157],"However,":[11],"it":[12],"is":[13,43,62,78,102],"a":[14,56],"challenging":[15],"task":[16],"to":[17,26,80,104],"detect":[18,81],"defects":[19,31,83],"from":[20,67,84,109],"the":[21,38,71,85,91,96,106,110,116,124,128,131,135,143],"metal":[22,39,68,86,153],"surface":[24,88],"due":[25],"these":[27,54],"problems:":[28],"1)":[29],"Some":[30],"are":[32],"small":[33,82],"and":[34,49,119,140,147],"appear":[35],"randomly":[36],"on":[37,123,142],"component;":[40],"2)":[41],"There":[42],"low-intensity":[44],"contrast":[45],"between":[46,93],"areas":[48],"surrounding":[50,111],"ones.":[51],"To":[52],"solve":[53],"issues,":[55],"Scale":[57],"Adaptive":[58],"Attention":[59,75],"Network":[60],"(SAA-Net)":[61],"proposed":[63,132],"for":[64],"parts,":[69],"where":[70],"Interactive":[72],"Spatial":[73],"Position":[74],"(ISPA)":[76],"module":[77,101],"devised":[79],"part":[87,154],"by":[89,114],"modeling":[90],"interdependence":[92],"pixels;":[94],"then,":[95],"Dual":[97],"Local-Global":[98],"Transformer":[99],"(DLGT)":[100],"designed":[103],"distinguish":[105],"regions":[108],"normal":[112],"ones":[113],"fusing":[115],"overall":[117],"attributes":[118],"key":[120],"features.":[121],"Experiments":[122],"MPDD":[125],"dataset":[126],"demonstrate":[127],"effectiveness":[129],"of":[130,137],"SAA-Net,":[133],"achieving":[134],"performance":[136],"97.5%,":[138],"90.7%,":[139],"96.1%":[141],"pixel":[144],"AUC,":[145],"AP,":[146],"sPRO,":[148],"respectively,":[149],"further":[150],"assisting":[151]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}