{"id":"https://openalex.org/W3213997984","doi":"https://doi.org/10.1109/tii.2021.3127188","title":"Region- and Strength-Controllable GAN for Defect Generation and Segmentation in Industrial Images","display_name":"Region- and Strength-Controllable GAN for Defect Generation and Segmentation in Industrial Images","publication_year":2021,"publication_date":"2021-11-11","ids":{"openalex":"https://openalex.org/W3213997984","doi":"https://doi.org/10.1109/tii.2021.3127188","mag":"3213997984"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2021.3127188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2021.3127188","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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/A5068755803","display_name":"Shuanlong Niu","orcid":"https://orcid.org/0000-0002-7970-6035"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuanlong Niu","raw_affiliation_strings":["Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100365136","display_name":"Bin Li","orcid":"https://orcid.org/0000-0002-0197-3248"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Li","raw_affiliation_strings":["School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037191476","display_name":"Xinggang Wang","orcid":"https://orcid.org/0000-0001-6732-7823"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinggang Wang","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061839819","display_name":"Yaru Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaru Peng","raw_affiliation_strings":["School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5068755803"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":8.4422,"has_fulltext":false,"cited_by_count":89,"citation_normalized_percentile":{"value":0.97832991,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"18","issue":"7","first_page":"4531","last_page":"4541"},"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/T11338","display_name":"Advancements in Photolithography Techniques","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.9923999905586243,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6605691313743591},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.6547796130180359},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6242514848709106},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5742299556732178},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5299084186553955},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.49857115745544434},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4888460040092468},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4351118803024292},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4316751956939697},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4262502193450928},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.379472017288208},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16394653916358948}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6605691313743591},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.6547796130180359},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6242514848709106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5742299556732178},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5299084186553955},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.49857115745544434},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4888460040092468},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4351118803024292},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4316751956939697},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4262502193450928},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.379472017288208},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16394653916358948},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2021.3127188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2021.3127188","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2125389028","https://openalex.org/W2194775991","https://openalex.org/W2254039850","https://openalex.org/W2547050897","https://openalex.org/W2593414223","https://openalex.org/W2903712458","https://openalex.org/W2917855920","https://openalex.org/W2923486253","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2963226019","https://openalex.org/W2963684088","https://openalex.org/W2963767194","https://openalex.org/W2964016283","https://openalex.org/W2987385519","https://openalex.org/W2994615081","https://openalex.org/W2998008435","https://openalex.org/W3006938707","https://openalex.org/W3033771351","https://openalex.org/W3040739812","https://openalex.org/W3043445295","https://openalex.org/W3094374092","https://openalex.org/W3095286517","https://openalex.org/W3095388829","https://openalex.org/W3096831136","https://openalex.org/W3100487172","https://openalex.org/W3104156061","https://openalex.org/W3120387510","https://openalex.org/W3158533370","https://openalex.org/W4295521014","https://openalex.org/W6639824700","https://openalex.org/W6678815747","https://openalex.org/W6685352114","https://openalex.org/W6718140377","https://openalex.org/W6735913928","https://openalex.org/W6759497986","https://openalex.org/W6784764740"],"related_works":["https://openalex.org/W2348909947","https://openalex.org/W4292672442","https://openalex.org/W2362101859","https://openalex.org/W2941610985","https://openalex.org/W2791431590","https://openalex.org/W1978900583","https://openalex.org/W2350688482","https://openalex.org/W2053575972","https://openalex.org/W4323256314","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"for":[2,31,164],"computer":[3],"vision":[4],"has":[5],"achieved":[6],"remarkable":[7],"results":[8],"based":[9,83],"on":[10,84,122,152],"massive,":[11],"diverse,":[12],"and":[13,48,90,105,135,137,150,156],"well-annotated":[14],"training":[15],"sets.":[16],"However,":[17],"it":[18],"is":[19,50,76,112],"difficult":[20],"to":[21,92,115,120],"collect":[22],"defect":[23,40,46,63,69,73,95,103,109,124,141,160],"datasets":[24],"that":[25,56],"cover":[26],"all":[27],"possible":[28],"features,":[29],"especially":[30,163],"small,":[32,165],"weak":[33,166],"defects.":[34,167],"Therefore,":[35],"in":[36,78],"this":[37],"article,":[38],"a":[39,58,99,108],"image":[41,54],"generation":[42,118],"method":[43,128],"with":[44],"controllable":[45],"regions":[47,64],"strength":[49],"proposed.":[51],"Regarded":[52],"as":[53],"inpainting":[55],"uses":[57],"generative":[59],"adversarial":[60],"network,":[61],"generated":[62,130],"are":[65],"controlled":[66],"by":[67],"using":[68],"masks.":[70],"Moreover,":[71,107],"the":[72,79,85,94,117,123,153,157],"direction":[74],"vector":[75],"constructed":[77],"latent":[80],"variable":[81],"space":[82],"feature":[86],"continuity":[87],"between":[88,102],"defects":[89],"nondefects":[91],"control":[93],"strength,":[96],"which":[97],"enables":[98],"one-to-many":[100],"correspondence":[101],"masks":[104],"images.":[106],"attention":[110],"loss":[111],"also":[113],"designed":[114],"force":[116],"model":[119],"focus":[121],"regions.":[125],"Experimentally,":[126],"our":[127],"yields":[129],"images":[131],"of":[132,148],"better":[133],"quality":[134],"diversity":[136],"thus":[138],"significantly":[139],"improves":[140],"segmentation":[142],"performance":[143],"(an":[144],"intersection":[145],"over":[146],"union":[147],"63.20%":[149],"61.86%":[151],"Kolektor":[154],"surface-defect":[155],"metal":[158],"hook":[159],"datasets,":[161],"respectively),":[162]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":27},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":27},{"year":2022,"cited_by_count":6}],"updated_date":"2026-03-23T07:41:27.035349","created_date":"2025-10-10T00:00:00"}
