{"id":"https://openalex.org/W3199982110","doi":"https://doi.org/10.3233/ica-210666","title":"A spectrum-domain instance segmentation model for casting defects","display_name":"A spectrum-domain instance segmentation model for casting defects","publication_year":2021,"publication_date":"2021-09-17","ids":{"openalex":"https://openalex.org/W3199982110","doi":"https://doi.org/10.3233/ica-210666","mag":"3199982110"},"language":"en","primary_location":{"id":"doi:10.3233/ica-210666","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ica-210666","pdf_url":null,"source":{"id":"https://openalex.org/S107631664","display_name":"Integrated Computer-Aided Engineering","issn_l":"1069-2509","issn":["1069-2509","1875-8835"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Integrated Computer-Aided 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/A5101481651","display_name":"Jinhua Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I4385474403","display_name":"Changchun University of Technology","ror":"https://ror.org/052pakb34","country_code":null,"type":"education","lineage":["https://openalex.org/I4385474403"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinhua Lin","raw_affiliation_strings":["Machinery and Electronics Engineering, University of Chinese Academy of Sciences, Beijing, China","School of Computer Application Technology, Changchun University of Technology, Changchun, Jilin, China"],"affiliations":[{"raw_affiliation_string":"Machinery and Electronics Engineering, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"School of Computer Application Technology, Changchun University of Technology, Changchun, Jilin, China","institution_ids":["https://openalex.org/I4385474403","https://openalex.org/I4385474403"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017116858","display_name":"Lin Ma","orcid":"https://orcid.org/0000-0002-7331-6132"},"institutions":[{"id":"https://openalex.org/I4210127843","display_name":"First Automotive Works (China)","ror":"https://ror.org/0353t4m91","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210127843"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Ma","raw_affiliation_strings":["FAW Foundry Co., Ltd, Changchun, Jilin, China"],"affiliations":[{"raw_affiliation_string":"FAW Foundry Co., Ltd, Changchun, Jilin, China","institution_ids":["https://openalex.org/I4210127843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042385997","display_name":"Yu Yao","orcid":"https://orcid.org/0000-0002-2329-2355"},"institutions":[{"id":"https://openalex.org/I4385474403","display_name":"Changchun University of Technology","ror":"https://ror.org/052pakb34","country_code":null,"type":"education","lineage":["https://openalex.org/I4385474403"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Yao","raw_affiliation_strings":["School of Computer Application Technology, Changchun University of Technology, Changchun, Jilin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Application Technology, Changchun University of Technology, Changchun, Jilin, China","institution_ids":["https://openalex.org/I4385474403","https://openalex.org/I4385474403"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101481651"],"corresponding_institution_ids":["https://openalex.org/I4210165038","https://openalex.org/I4385474403"],"apc_list":null,"apc_paid":null,"fwci":2.6687,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.90917949,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"29","issue":"1","first_page":"63","last_page":"82"},"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":0.9997000098228455,"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":0.9997000098228455,"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/T10705","display_name":"Additive Manufacturing Materials and Processes","score":0.9786999821662903,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11159","display_name":"Manufacturing Process and Optimization","score":0.975600004196167,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7291127443313599},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6181706190109253},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6175633072853088},{"id":"https://openalex.org/keywords/tearing","display_name":"Tearing","score":0.6159833669662476},{"id":"https://openalex.org/keywords/linear-interpolation","display_name":"Linear interpolation","score":0.4913922846317291},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43746158480644226},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4367449879646301},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4176328182220459},{"id":"https://openalex.org/keywords/casting","display_name":"Casting","score":0.4134591221809387},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3863367438316345},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.31315675377845764},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.19744372367858887},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.1914696991443634},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1852531135082245},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12340202927589417},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09995588660240173},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.09529978036880493}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7291127443313599},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6181706190109253},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6175633072853088},{"id":"https://openalex.org/C2776097996","wikidata":"https://www.wikidata.org/wiki/Q2219270","display_name":"Tearing","level":2,"score":0.6159833669662476},{"id":"https://openalex.org/C171836373","wikidata":"https://www.wikidata.org/wiki/Q2266329","display_name":"Linear interpolation","level":3,"score":0.4913922846317291},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43746158480644226},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4367449879646301},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4176328182220459},{"id":"https://openalex.org/C16635281","wikidata":"https://www.wikidata.org/wiki/Q496098","display_name":"Casting","level":2,"score":0.4134591221809387},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3863367438316345},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31315675377845764},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.19744372367858887},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.1914696991443634},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1852531135082245},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12340202927589417},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09995588660240173},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.09529978036880493},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ica-210666","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ica-210666","pdf_url":null,"source":{"id":"https://openalex.org/S107631664","display_name":"Integrated Computer-Aided Engineering","issn_l":"1069-2509","issn":["1069-2509","1875-8835"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Integrated Computer-Aided Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W116751493","https://openalex.org/W143846014","https://openalex.org/W639708223","https://openalex.org/W1524680991","https://openalex.org/W1536680647","https://openalex.org/W1556838402","https://openalex.org/W1665214252","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1789336918","https://openalex.org/W1839118408","https://openalex.org/W1840106123","https://openalex.org/W1981759979","https://openalex.org/W2016939324","https://openalex.org/W2037654606","https://openalex.org/W2078305144","https://openalex.org/W2085407369","https://openalex.org/W2109255472","https://openalex.org/W2130331473","https://openalex.org/W2155893237","https://openalex.org/W2168002777","https://openalex.org/W2172259569","https://openalex.org/W2172654076","https://openalex.org/W2194775991","https://openalex.org/W2216125271","https://openalex.org/W2229637417","https://openalex.org/W2271070614","https://openalex.org/W2343569625","https://openalex.org/W2549196305","https://openalex.org/W2552392885","https://openalex.org/W2554234051","https://openalex.org/W2565639579","https://openalex.org/W2594328930","https://openalex.org/W2618530766","https://openalex.org/W2626112510","https://openalex.org/W2736832651","https://openalex.org/W2749684264","https://openalex.org/W2760990963","https://openalex.org/W2795535209","https://openalex.org/W2921440296","https://openalex.org/W2951845198","https://openalex.org/W2951849131","https://openalex.org/W2962734882","https://openalex.org/W2962820688","https://openalex.org/W2966126335","https://openalex.org/W2972875638","https://openalex.org/W2978088842","https://openalex.org/W3027029887","https://openalex.org/W3028650173","https://openalex.org/W3046457381","https://openalex.org/W3080279402","https://openalex.org/W3161772859","https://openalex.org/W4251986245"],"related_works":["https://openalex.org/W2370380767","https://openalex.org/W3114792666","https://openalex.org/W2414480012","https://openalex.org/W2001998507","https://openalex.org/W2520197050","https://openalex.org/W2291214609","https://openalex.org/W2985206855","https://openalex.org/W3183609115","https://openalex.org/W2387056800","https://openalex.org/W2389908107"],"abstract_inverted_index":{"Accurate":[0],"segmentation":[1,55,64,193,215],"of":[2,13,18,24,28,39,73,97,110,131,195,208],"casting":[3,14,32,40,51,74],"defects":[4,29,41,52,75,82,130,196],"plays":[5],"a":[6,60,124,182,192,198],"positive":[7],"role":[8],"in":[9,30,176,197],"the":[10,25,31,37,100,135,144,151,158,163,169,173,202,206,209],"quality":[11],"control":[12],"products,":[15],"and":[16,44,90,115,137,150,162,219],"is":[17,42,47,67,181],"great":[19],"significance":[20],"for":[21,69],"accurate":[22,178],"extraction":[23,222],"mechanical":[26,220],"properties":[27],"solidification":[33],"process.":[34],"However,":[35],"as":[36],"shape":[38],"complex":[43,77],"irregular,":[45],"it":[46],"challenging":[48],"to":[49,128,142,167,172,188],"segment":[50],"by":[53],"existing":[54],"methods.":[56],"To":[57],"address":[58],"this,":[59],"spectrum":[61,101,107,116,145,152],"domain":[62,102,108,117,146,153,184],"instance":[63,118,194],"model":[65,95,105,113,120,211],"(SISN)":[66],"proposed":[68,94,210],"segmenting":[70],"five":[71,81],"types":[72],"with":[76],"shapes":[78],"accurately.":[79],"The":[80,93],"are":[83,140],"inclusion,":[84],"shrinkage,":[85],"hot":[86],"tearing,":[87],"cold":[88],"tearing":[89],"micro":[91],"pore.":[92],"consists":[96],"three":[98,213],"sub-models:":[99],"region":[103,109],"proposal":[104],"(SRPN),":[106],"interest":[111],"alignment":[112],"(SRoIAlign)":[114],"generation":[119],"(SIGN).":[121],"SRPN":[122],"uses":[123,157],"multi-scale":[125],"anchoring":[126],"mechanism":[127],"detect":[129],"various":[132],"sizes,":[133],"where":[134],"SSReLU":[136],"SCPool":[138],"functions":[139],"used":[141],"solve":[143],"gradient":[147],"explosion":[148],"problem":[149],"over-fitting":[154],"problem.":[155],"SRoIAlign":[156],"floating-point":[159],"quantization":[160],"operation":[161],"tri-linear":[164],"interpolation":[165],"method":[166],"quantize":[168],"3D":[170,189],"proposals":[171],"feature":[174],"values":[175],"an":[177],"manner.":[179,200],"SIGN":[180],"full-spectrum":[183],"neural":[185],"network":[186],"applied":[187],"proposals,":[190],"generating":[191],"point-wise":[199],"In":[201],"experiments,":[203],"we":[204],"test":[205],"effectiveness":[207],"from":[212],"aspects:":[214],"accuracy,":[216],"time":[217],"performance":[218],"property":[221],"accuracy.":[223]},"counts_by_year":[{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}