{"id":"https://openalex.org/W4361285046","doi":"https://doi.org/10.1115/1.4062233","title":"A Data Augmentation Method for Data-Driven Component Segmentation of Engineering Drawings","display_name":"A Data Augmentation Method for Data-Driven Component Segmentation of Engineering Drawings","publication_year":2023,"publication_date":"2023-03-29","ids":{"openalex":"https://openalex.org/W4361285046","doi":"https://doi.org/10.1115/1.4062233"},"language":"en","primary_location":{"id":"doi:10.1115/1.4062233","is_oa":false,"landing_page_url":"https://doi.org/10.1115/1.4062233","pdf_url":null,"source":{"id":"https://openalex.org/S173178594","display_name":"Journal of Computing and Information Science in Engineering","issn_l":"1530-9827","issn":["1530-9827","1944-7078"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316053","host_organization_name":"ASM International","host_organization_lineage":["https://openalex.org/P4310316053"],"host_organization_lineage_names":["ASM International"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing and Information Science in Engineering","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/A5101968854","display_name":"Wentai Zhang","orcid":"https://orcid.org/0000-0003-1876-6242"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wentai Zhang","raw_affiliation_strings":["Carnegie Mellon University Department of Mechanical Engineering, , Pittsburgh, PA 15213"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University Department of Mechanical Engineering, , Pittsburgh, PA 15213","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009091310","display_name":"J. W. Joseph","orcid":"https://orcid.org/0009-0000-2723-9175"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joe Joseph","raw_affiliation_strings":["Carnegie Mellon University Department of Mechanical Engineering, , Pittsburgh, PA 15213"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University Department of Mechanical Engineering, , Pittsburgh, PA 15213","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377840","display_name":"Quan Chen","orcid":"https://orcid.org/0000-0001-5832-0347"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Quan Chen","raw_affiliation_strings":["Carnegie Mellon University Department of Mechanical Engineering, , Pittsburgh, PA 15213"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University Department of Mechanical Engineering, , Pittsburgh, PA 15213","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046735480","display_name":"Can Koz","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Can Koz","raw_affiliation_strings":["Carnegie Mellon University Department of Mechanical Engineering, , Pittsburgh, PA 15213"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University Department of Mechanical Engineering, , Pittsburgh, PA 15213","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023074455","display_name":"Liuyue Xie","orcid":"https://orcid.org/0000-0001-7125-5084"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liuyue Xie","raw_affiliation_strings":["Carnegie Mellon University Department of Mechanical Engineering, , Pittsburgh, PA 15213"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University Department of Mechanical Engineering, , Pittsburgh, PA 15213","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005509765","display_name":"Amit Regmi","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amit Regmi","raw_affiliation_strings":["Carnegie Mellon University Department of Mechanical Engineering, , Pittsburgh, PA 15213"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University Department of Mechanical Engineering, , Pittsburgh, PA 15213","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034955568","display_name":"Soji Yamakawa","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Soji Yamakawa","raw_affiliation_strings":["Carnegie Mellon University Department of Mechanical Engineering, , Pittsburgh, PA 15213"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University Department of Mechanical Engineering, , Pittsburgh, PA 15213","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017947410","display_name":"Tomotake Furuhata","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tomotake Furuhata","raw_affiliation_strings":["Carnegie Mellon University Department of Mechanical Engineering, , Pittsburgh, PA 15213"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University Department of Mechanical Engineering, , Pittsburgh, PA 15213","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006322552","display_name":"Kenji Shimada","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kenji Shimada","raw_affiliation_strings":["Carnegie Mellon University Department of Mechanical Engineering, , Pittsburgh, PA 15213"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University Department of Mechanical Engineering, , Pittsburgh, PA 15213","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048339797","display_name":"Levent Burak Kara","orcid":"https://orcid.org/0000-0002-2203-4020"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Levent Burak Kara","raw_affiliation_strings":["Carnegie Mellon University Department of Mechanical Engineering, , Pittsburgh, PA 15213"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University Department of Mechanical Engineering, , Pittsburgh, PA 15213","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5101968854"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":0.5859,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.67193794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"24","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9987000226974487,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9983999729156494,"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/computer-science","display_name":"Computer science","score":0.7254729866981506},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.6313463449478149},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6251487135887146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5899496078491211},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.5851756930351257},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5815495848655701},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4782796800136566},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.4679507315158844},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4517206847667694},{"id":"https://openalex.org/keywords/engineering-drawing","display_name":"Engineering drawing","score":0.4331343173980713},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4246680438518524},{"id":"https://openalex.org/keywords/reverse-engineering","display_name":"Reverse engineering","score":0.4198741912841797},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3628384470939636},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12278386950492859}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7254729866981506},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.6313463449478149},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6251487135887146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5899496078491211},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.5851756930351257},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5815495848655701},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4782796800136566},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.4679507315158844},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4517206847667694},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.4331343173980713},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4246680438518524},{"id":"https://openalex.org/C207850805","wikidata":"https://www.wikidata.org/wiki/Q269608","display_name":"Reverse engineering","level":2,"score":0.4198741912841797},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3628384470939636},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12278386950492859},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1115/1.4062233","is_oa":false,"landing_page_url":"https://doi.org/10.1115/1.4062233","pdf_url":null,"source":{"id":"https://openalex.org/S173178594","display_name":"Journal of Computing and Information Science in Engineering","issn_l":"1530-9827","issn":["1530-9827","1944-7078"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316053","host_organization_name":"ASM International","host_organization_lineage":["https://openalex.org/P4310316053"],"host_organization_lineage_names":["ASM International"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing and Information Science in Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":80,"referenced_works":["https://openalex.org/W818586569","https://openalex.org/W1064203140","https://openalex.org/W1159302035","https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1977357018","https://openalex.org/W1979874995","https://openalex.org/W1981934656","https://openalex.org/W1984660414","https://openalex.org/W2033119468","https://openalex.org/W2035993322","https://openalex.org/W2047266902","https://openalex.org/W2054279472","https://openalex.org/W2067688310","https://openalex.org/W2083542343","https://openalex.org/W2117948387","https://openalex.org/W2124592697","https://openalex.org/W2138630892","https://openalex.org/W2139662573","https://openalex.org/W2145315528","https://openalex.org/W2155195832","https://openalex.org/W2161236525","https://openalex.org/W2163255932","https://openalex.org/W2293397237","https://openalex.org/W2412782625","https://openalex.org/W2609711717","https://openalex.org/W2783482415","https://openalex.org/W2810501773","https://openalex.org/W2891228570","https://openalex.org/W2952578740","https://openalex.org/W2953398913","https://openalex.org/W2954069430","https://openalex.org/W2963037989","https://openalex.org/W2963173190","https://openalex.org/W2964309882","https://openalex.org/W2965690833","https://openalex.org/W2968124245","https://openalex.org/W2968979139","https://openalex.org/W2989769720","https://openalex.org/W2996324165","https://openalex.org/W2998508940","https://openalex.org/W3003709258","https://openalex.org/W3014641072","https://openalex.org/W3035497460","https://openalex.org/W3037874813","https://openalex.org/W3080366021","https://openalex.org/W3093190107","https://openalex.org/W3128272199","https://openalex.org/W3129530645","https://openalex.org/W3139388019","https://openalex.org/W3208314443","https://openalex.org/W4295719664","https://openalex.org/W4297907652","https://openalex.org/W4304780870","https://openalex.org/W4322806521","https://openalex.org/W6628973269","https://openalex.org/W6631190155","https://openalex.org/W6639824700","https://openalex.org/W6640054144","https://openalex.org/W6645943304","https://openalex.org/W6677625491","https://openalex.org/W6678459986","https://openalex.org/W6682023823","https://openalex.org/W6702882445","https://openalex.org/W6735463952","https://openalex.org/W6737144893","https://openalex.org/W6743440100","https://openalex.org/W6745935785","https://openalex.org/W6747939174","https://openalex.org/W6748481559","https://openalex.org/W6764725164","https://openalex.org/W6767279747","https://openalex.org/W6770087161","https://openalex.org/W6771619427","https://openalex.org/W6773428483","https://openalex.org/W6780041708","https://openalex.org/W6803316292","https://openalex.org/W6846626427","https://openalex.org/W7045622927"],"related_works":["https://openalex.org/W2008630378","https://openalex.org/W2118717649","https://openalex.org/W1958015814","https://openalex.org/W2413243053","https://openalex.org/W410723623","https://openalex.org/W2015341305","https://openalex.org/W4225593417","https://openalex.org/W2035068594","https://openalex.org/W2382901435","https://openalex.org/W2023243979"],"abstract_inverted_index":{"Abstract":[0],"We":[1],"present":[2],"a":[3,23,34,87,101,118,158,164],"new":[4,186],"data":[5,103,187],"generation":[6,188],"method":[7,105,124,151],"to":[8,28,39,47,49,78,82,86,106,135,139,185,202],"facilitate":[9],"an":[10,108],"automatic":[11,72],"machine":[12,73,199],"interpretation":[13,54],"of":[14,36,89,112,120,130,143,149,157,167,171,197],"2D":[15],"engineering":[16,83],"part":[17,45],"drawings.":[18,146,204],"While":[19],"such":[20,80],"drawings":[21,43,84,115],"are":[22],"common":[24],"medium":[25],"for":[26,53],"clients":[27],"encode":[29],"design":[30],"and":[31,194],"manufacturing":[32],"requirements,":[33],"lack":[35,88],"computer":[37,67],"support":[38],"automatically":[40],"interpret":[41],"these":[42],"necessitates":[44],"manufacturers":[46],"resort":[48],"laborious":[50],"manual":[51],"approaches":[52],"which,":[55],"in":[56,65,154],"turn,":[57],"severely":[58],"limits":[59],"processing":[60],"capacity.":[61],"Although":[62],"recent":[63],"advances":[64],"trainable":[66],"vision":[68],"methods":[69,81,175],"may":[70],"enable":[71],"interpretation,":[74],"it":[75],"remains":[76],"challenging":[77],"apply":[79],"due":[85],"labeled":[90,121],"training":[91,114],"data.":[92],"As":[93],"one":[94],"step":[95],"toward":[96],"this":[97],"challenge,":[98],"we":[99],"propose":[100],"constrained":[102],"synthesis":[104],"generate":[107],"arbitrarily":[109],"large":[110],"set":[111],"synthetic":[113,145,179],"using":[116],"only":[117],"handful":[119],"examples.":[122],"Our":[123],"is":[125,152],"based":[126],"on":[127,177],"the":[128,131,141,144,155,191,195,198],"randomization":[129],"dimension":[132],"sets":[133],"subject":[134],"two":[136],"major":[137],"constraints":[138],"ensure":[140],"validity":[142],"The":[147],"effectiveness":[148],"our":[150,178,183],"demonstrated":[153],"context":[156],"binary":[159],"component":[160],"segmentation":[161,174,192],"task":[162],"with":[163],"proposed":[165],"list":[166],"descriptors.":[168],"An":[169],"evaluation":[170],"several":[172],"image":[173],"trained":[176],"dataset":[180],"shows":[181],"that":[182],"approach":[184],"can":[189],"boost":[190],"accuracy":[193],"generalizability":[196],"learning":[200],"models":[201],"unseen":[203]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-04T08:30:34.212998","created_date":"2025-10-10T00:00:00"}