{"id":"https://openalex.org/W2980741463","doi":"https://doi.org/10.1109/aim.2019.8868682","title":"Visual Detection of Generic Defects in Industrial Components using Generative Adversarial Networks","display_name":"Visual Detection of Generic Defects in Industrial Components using Generative Adversarial Networks","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2980741463","doi":"https://doi.org/10.1109/aim.2019.8868682","mag":"2980741463"},"language":"en","primary_location":{"id":"doi:10.1109/aim.2019.8868682","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aim.2019.8868682","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)","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/A5029945772","display_name":"Robert Skilton","orcid":"https://orcid.org/0000-0003-1076-906X"},"institutions":[{"id":"https://openalex.org/I47367911","display_name":"United Kingdom Atomic Energy Authority","ror":"https://ror.org/0361bwx64","country_code":"GB","type":"funder","lineage":["https://openalex.org/I2802373619","https://openalex.org/I4210110861","https://openalex.org/I47367911"]},{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Robert Skilton","raw_affiliation_strings":["RACE, UK Atomic Energy Authority, University of Surrey, UK"],"affiliations":[{"raw_affiliation_string":"RACE, UK Atomic Energy Authority, University of Surrey, UK","institution_ids":["https://openalex.org/I47367911","https://openalex.org/I28290843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038207720","display_name":"Yang Gao","orcid":"https://orcid.org/0000-0002-2150-5986"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yang Gao","raw_affiliation_strings":["STAR Lab, Surrey Space Centre, University of Surrey, UK"],"affiliations":[{"raw_affiliation_string":"STAR Lab, Surrey Space Centre, University of Surrey, UK","institution_ids":["https://openalex.org/I28290843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5029945772"],"corresponding_institution_ids":["https://openalex.org/I28290843","https://openalex.org/I47367911"],"apc_list":null,"apc_paid":null,"fwci":0.5601,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75503998,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"55","issue":null,"first_page":"489","last_page":"494"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9937999844551086,"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":0.9847999811172485,"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/mnist-database","display_name":"MNIST database","score":0.8080431222915649},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7959815263748169},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6644469499588013},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6611274480819702},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6590012907981873},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6527863144874573},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5360759496688843},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.505615234375},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.49677830934524536},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47044509649276733},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4549630582332611},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43152618408203125},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3630228042602539},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0737435519695282},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06443652510643005}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.8080431222915649},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7959815263748169},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6644469499588013},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6611274480819702},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6590012907981873},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6527863144874573},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5360759496688843},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.505615234375},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49677830934524536},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47044509649276733},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4549630582332611},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43152618408203125},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3630228042602539},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0737435519695282},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06443652510643005},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/aim.2019.8868682","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aim.2019.8868682","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-155721","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-155721","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W648143168","https://openalex.org/W1557955428","https://openalex.org/W1862829300","https://openalex.org/W1903398684","https://openalex.org/W1954087510","https://openalex.org/W1964573040","https://openalex.org/W1972548456","https://openalex.org/W1998709053","https://openalex.org/W2000779269","https://openalex.org/W2048281124","https://openalex.org/W2064455269","https://openalex.org/W2067173330","https://openalex.org/W2091149439","https://openalex.org/W2092064837","https://openalex.org/W2099471712","https://openalex.org/W2106238010","https://openalex.org/W2154087496","https://openalex.org/W2155669845","https://openalex.org/W2215706778","https://openalex.org/W2527109283","https://openalex.org/W2589306531","https://openalex.org/W2599354622","https://openalex.org/W2774823974","https://openalex.org/W2951523806","https://openalex.org/W2963373786","https://openalex.org/W2963684088","https://openalex.org/W2963917315","https://openalex.org/W4320013936","https://openalex.org/W6621378261","https://openalex.org/W6633298656","https://openalex.org/W6685352114","https://openalex.org/W6718379498"],"related_works":["https://openalex.org/W4386603768","https://openalex.org/W2950475743","https://openalex.org/W2886711096","https://openalex.org/W2750384547","https://openalex.org/W4380078352","https://openalex.org/W3046591097","https://openalex.org/W4389249638","https://openalex.org/W2733410219","https://openalex.org/W2734358244","https://openalex.org/W4388700941"],"abstract_inverted_index":{"Detection":[0],"of":[1,22,52,59,73,91,101],"general":[2],"or":[3],"unspecified":[4],"anomalies":[5,97],"in":[6,64,98,104,114],"industrial":[7],"environments":[8],"using":[9],"camera":[10],"images":[11],"is":[12,19,46,79],"a":[13,92],"challenging":[14],"task,":[15],"and":[16,31,43,70,81],"one":[17],"which":[18,37],"the":[20,57,71,99,108],"focus":[21],"much":[23],"current":[24],"research.":[25],"Many":[26],"studies":[27],"are":[28,38],"application":[29],"focused,":[30],"demonstrate":[32],"results":[33],"on":[34,107],"domain-specific":[35],"datasets":[36],"often":[39],"not":[40],"widely":[41],"available,":[42],"hence":[44],"it":[45],"difficult":[47],"to":[48,83,127],"directly":[49],"compare":[50],"performance":[51,72],"new":[53],"techniques.":[54],"We":[55],"propose":[56],"use":[58],"Generative":[60],"Adversarial":[61],"Networks":[62],"(GAN)s":[63],"performing":[65],"generalised":[66],"visual":[67,118],"anomaly":[68,119],"detection":[69,120],"various":[74],"state-of-the-art":[75],"GAN":[76],"based":[77],"methods":[78],"evaluated":[80],"compared":[82,124],"previous":[84],"results.":[85],"A":[86],"simple":[87],"method":[88],"for":[89],"generation":[90],"dataset":[93],"with":[94],"automatically":[95],"annotated":[96],"form":[100],"Gaussian":[102],"blobs":[103],"images,":[105],"demonstrated":[106],"well-known":[109],"MNIST":[110],"hand-written":[111],"digits":[112],"dataset,":[113],"order":[115],"that":[116],"unsupervised":[117],"techniques":[121],"can":[122],"be":[123],"without":[125],"access":[126],"industry-specific":[128],"datasets.":[129]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
