{"id":"https://openalex.org/W4410796783","doi":"https://doi.org/10.1109/tim.2025.3548207","title":"Promoting Accurate Image Reconstruction via Synthetic Noise for Unsupervised Screw Anomaly Detection and Location","display_name":"Promoting Accurate Image Reconstruction via Synthetic Noise for Unsupervised Screw Anomaly Detection and Location","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410796783","doi":"https://doi.org/10.1109/tim.2025.3548207"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2025.3548207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3548207","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5103090938","display_name":"Jian Wen Chen","orcid":"https://orcid.org/0009-0008-5305-5976"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Jian Wen Chen","raw_affiliation_strings":["Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016356851","display_name":"Wan-Ju Lin","orcid":"https://orcid.org/0009-0005-5354-9835"},"institutions":[{"id":"https://openalex.org/I4387154394","display_name":"National Kaohsiung University of Science and Technology","ror":"https://ror.org/00hfj7g70","country_code":null,"type":"education","lineage":["https://openalex.org/I4387154394"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wan Ju Lin","raw_affiliation_strings":["Department of Mold and Die, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Mold and Die, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I4387154394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083544338","display_name":"Kuan\u2010Ming Li","orcid":"https://orcid.org/0000-0002-2042-1692"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kuan Ming Li","raw_affiliation_strings":["Department of Mechanical Engineering, National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004555174","display_name":"Dariusz Mrozek","orcid":"https://orcid.org/0000-0001-6764-6656"},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Dariusz Mrozek","raw_affiliation_strings":["Department of Applied Informatics, Silesian University of Technology, Gliwice, Poland"],"affiliations":[{"raw_affiliation_string":"Department of Applied Informatics, Silesian University of Technology, Gliwice, Poland","institution_ids":["https://openalex.org/I119004910"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003302169","display_name":"Che\u2010Lun Hung","orcid":"https://orcid.org/0000-0002-8906-9367"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Che Lun Hung","raw_affiliation_strings":["Institute of Biomedical Informatics, National Yang Ming Chiao Tung University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Biomedical Informatics, National Yang Ming Chiao Tung University, Taipei, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103090938"],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":null,"apc_paid":null,"fwci":10.4495,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.9780335,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9613000154495239,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9587000012397766,"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/anomaly-detection","display_name":"Anomaly detection","score":0.591559886932373},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5858378410339355},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.577433705329895},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5410380363464355},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5056490898132324},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4613367021083832},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41798821091651917},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4061531126499176}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.591559886932373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5858378410339355},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.577433705329895},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5410380363464355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5056490898132324},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4613367021083832},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41798821091651917},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4061531126499176}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2025.3548207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3548207","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2603171669","display_name":null,"funder_award_id":"NSTC 112-2218-E-002-045","funder_id":"https://openalex.org/F4320331164","funder_display_name":"National Science and Technology Council"}],"funders":[{"id":"https://openalex.org/F4320331164","display_name":"National Science and Technology Council","ror":"https://ror.org/00wnb9798"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2032204246","https://openalex.org/W2054831422","https://openalex.org/W2125389028","https://openalex.org/W2153746118","https://openalex.org/W2397859129","https://openalex.org/W2528999066","https://openalex.org/W2582329586","https://openalex.org/W2599354622","https://openalex.org/W2791709739","https://openalex.org/W2899252373","https://openalex.org/W2903991204","https://openalex.org/W2914570111","https://openalex.org/W2948982773","https://openalex.org/W2962793481","https://openalex.org/W2963800716","https://openalex.org/W2978971541","https://openalex.org/W2985132922","https://openalex.org/W3035713416","https://openalex.org/W3092704883","https://openalex.org/W3121084473","https://openalex.org/W3155909676","https://openalex.org/W3160074056","https://openalex.org/W3193992273","https://openalex.org/W3202087870","https://openalex.org/W3205215989","https://openalex.org/W3215632849","https://openalex.org/W4224288283","https://openalex.org/W4285147180","https://openalex.org/W4285293775","https://openalex.org/W4288081275","https://openalex.org/W4288782906","https://openalex.org/W4310398126","https://openalex.org/W4310874931","https://openalex.org/W4317107561","https://openalex.org/W4376626035","https://openalex.org/W4378905046","https://openalex.org/W4385195017","https://openalex.org/W4387717443","https://openalex.org/W4390872231","https://openalex.org/W6678815747","https://openalex.org/W6752554887","https://openalex.org/W6790530467"],"related_works":["https://openalex.org/W2105642232","https://openalex.org/W3207332793","https://openalex.org/W3197833032","https://openalex.org/W4386081464","https://openalex.org/W2499612753","https://openalex.org/W3113278055","https://openalex.org/W2750709484","https://openalex.org/W4296474495","https://openalex.org/W4388937474","https://openalex.org/W4408666830"],"abstract_inverted_index":{"With":[0],"residuals-based":[1],"unsupervised":[2,55,200],"models,":[3],"defects":[4,100],"can":[5],"be":[6],"detected":[7],"using":[8,133,150],"only":[9],"normal":[10],"samples,":[11],"boosting":[12],"both":[13,181],"efficiency":[14],"and":[15,43,79,183,221],"practicality":[16],"in":[17,32,35,71,211,224],"industrial":[18],"anomaly":[19,236],"detection":[20,241],"(AD)":[21],"applications.":[22],"While":[23],"these":[24],"approaches":[25],"offer":[26],"benefits,":[27],"they":[28],"also":[29],"present":[30],"challenges":[31],"detecting":[33],"anomalies":[34],"cylindrical":[36,61],"objects,":[37],"such":[38],"as":[39],"imprecise":[40],"image":[41,116,218],"reconstruction":[42,70,132,219],"camera":[44],"blind":[45,142],"spots.":[46],"As":[47],"a":[48],"result,":[49],"this":[50],"article":[51],"introduces":[52],"ScrewNet,":[53],"an":[54,145],"AD":[56,73,108,127,163,201],"framework":[57],"designed":[58,123],"specifically":[59],"for":[60,155,217,234],"objects":[62],"like":[63],"screws.":[64],"To":[65,138],"improve":[66],"the":[67,72,75,86,96,107,126,140,156,165,170,191,228,246],"accuracy":[68,244],"of":[69,95,169,177,193],"network,":[74],"synthetic":[76,90],"noise":[77,91],"module":[78],"pair":[80,119],"training":[81,87,120],"approach":[82,121,160,195],"are":[83,186],"employed":[84],"during":[85],"stage.":[88,158],"The":[89,118,250],"module,":[92],"utilizing":[93],"one":[94],"CycleGAN":[97],"generators,":[98],"produces":[99],"that":[101],"match":[102],"real-world":[103],"distributions,":[104],"thereby":[105],"enabling":[106],"network":[109,128],"to":[110,124,129],"extract":[111],"valuable":[112],"features":[113],"while":[114],"preserving":[115],"structure.":[117],"is":[122,153,252],"enable":[125],"achieve":[130],"accurate":[131],"similar":[134],"background":[135],"input-output":[136],"pairs.":[137],"tackle":[139],"inspection":[141,148],"spots":[143],"problem,":[144],"efficient,":[146],"cost-effective":[147],"system":[149],"multiple":[151],"mirrors":[152],"developed":[154],"inference":[157],"This":[159],"enables":[161],"effective":[162],"across":[164,245],"entire":[166],"360\u00b0":[167],"surface":[168],"screw.":[171],"In":[172,238],"experiments,":[173],"three":[174,247],"different":[175],"types":[176],"screw":[178,248],"datasets":[179],"containing":[180],"damaged":[182],"undamaged":[184],"screws":[185],"provided.":[187],"Numerous":[188],"experiments":[189],"demonstrate":[190],"superiority":[192],"our":[194],"over":[196],"several":[197],"state-of-the-art":[198],"(SOTA)":[199],"networks.":[202],"For":[203],"instance,":[204],"ScrewNet":[205],"outperforms":[206],"baselines":[207],"by":[208,222],"4":[209],"dB":[210],"average":[212,225],"peak":[213],"signal-to-noise":[214],"ratio":[215],"(PSNR)":[216],"quality":[220],"32%":[223],"area":[226],"under":[227],"receiver":[229],"operating":[230],"characteristic":[231],"curve":[232],"(AUROC)":[233],"pixel-level":[235],"segmentation.":[237],"addition,":[239],"image-level":[240],"achieves":[242],"98.3%":[243],"datasets.":[249],"code":[251],"available":[253],"at":[254],"<uri":[255],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[256],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/vitowen9580/ScrewNet</uri>.":[257]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
