{"id":"https://openalex.org/W4402980912","doi":"https://doi.org/10.1109/icme57554.2024.10688181","title":"Expanding Crack Segmentation Dataset with Crack Growth Simulation and Feature Space Diversity","display_name":"Expanding Crack Segmentation Dataset with Crack Growth Simulation and Feature Space Diversity","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402980912","doi":"https://doi.org/10.1109/icme57554.2024.10688181"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10688181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10688181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","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/A5029862133","display_name":"Qin Lei","orcid":"https://orcid.org/0000-0002-1340-5969"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qin Lei","raw_affiliation_strings":["Chongqing University,College of Computer Science,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Chongqing University,College of Computer Science,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100614868","display_name":"Rui Yang","orcid":"https://orcid.org/0000-0003-4552-584X"},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Yang","raw_affiliation_strings":["Shaanxi Normal University,School of Computer Science,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Normal University,School of Computer Science,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I88830068"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039180924","display_name":"Jiang Zhong","orcid":"https://orcid.org/0000-0001-9614-6730"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang Zhong","raw_affiliation_strings":["Chongqing University,College of Computer Science,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Chongqing University,College of Computer Science,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033869703","display_name":"Rongzhen Li","orcid":"https://orcid.org/0000-0003-0306-3982"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongzhen Li","raw_affiliation_strings":["Chongqing University,College of Computer Science,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Chongqing University,College of Computer Science,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114056798","display_name":"Muyang He","orcid":null},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Muyang He","raw_affiliation_strings":["Xi&#x2019;an Jiaotong-Liverpool University,The School of Advanced Technology,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an Jiaotong-Liverpool University,The School of Advanced Technology,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061453937","display_name":"Mianxiong Dong","orcid":"https://orcid.org/0000-0002-2788-3451"},"institutions":[{"id":"https://openalex.org/I41725924","display_name":"Muroran Institute of Technology","ror":"https://ror.org/04rymkk69","country_code":"JP","type":"education","lineage":["https://openalex.org/I41725924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mianxiong Dong","raw_affiliation_strings":["Muroran Institute of Technology,Department of Sciences and Informatics,Muroran,Japan"],"affiliations":[{"raw_affiliation_string":"Muroran Institute of Technology,Department of Sciences and Informatics,Muroran,Japan","institution_ids":["https://openalex.org/I41725924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106707877","display_name":"Kaoru Ota","orcid":"https://orcid.org/0000-0002-3382-1652"},"institutions":[{"id":"https://openalex.org/I41725924","display_name":"Muroran Institute of Technology","ror":"https://ror.org/04rymkk69","country_code":"JP","type":"education","lineage":["https://openalex.org/I41725924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kaoru Ota","raw_affiliation_strings":["Muroran Institute of Technology,Department of Sciences and Informatics,Muroran,Japan"],"affiliations":[{"raw_affiliation_string":"Muroran Institute of Technology,Department of Sciences and Informatics,Muroran,Japan","institution_ids":["https://openalex.org/I41725924"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5029862133"],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":0.5468,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64588011,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10396","display_name":"Fatigue and fracture mechanics","score":0.9569000005722046,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9322999715805054,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/diversity","display_name":"Diversity (politics)","score":0.7210804224014282},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6179024577140808},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.6066697835922241},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5844910144805908},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5444186925888062},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4508591890335083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43693453073501587},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36289864778518677},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.05105748772621155}],"concepts":[{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.7210804224014282},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6179024577140808},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.6066697835922241},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5844910144805908},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5444186925888062},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4508591890335083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43693453073501587},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36289864778518677},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.05105748772621155},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10688181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10688181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2055738078","https://openalex.org/W2912350898","https://openalex.org/W2964308596","https://openalex.org/W2998508940","https://openalex.org/W3035682985","https://openalex.org/W3128457465","https://openalex.org/W4200126702","https://openalex.org/W4210771511","https://openalex.org/W4294775257","https://openalex.org/W4312933868","https://openalex.org/W4362453650","https://openalex.org/W4362641980","https://openalex.org/W4386798123","https://openalex.org/W4388838797","https://openalex.org/W4390872876","https://openalex.org/W6679045638","https://openalex.org/W6685380521","https://openalex.org/W6743428213","https://openalex.org/W6772833837","https://openalex.org/W6779823529","https://openalex.org/W6810158854","https://openalex.org/W6838639034","https://openalex.org/W6839517220","https://openalex.org/W6846895747","https://openalex.org/W6851422110","https://openalex.org/W6852781061","https://openalex.org/W6856051968","https://openalex.org/W6857807638","https://openalex.org/W6859584861"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4236583520","https://openalex.org/W4389858081","https://openalex.org/W2322261865","https://openalex.org/W4398861705","https://openalex.org/W3147584709","https://openalex.org/W2734736160","https://openalex.org/W2501551404","https://openalex.org/W2409468626","https://openalex.org/W4385583601"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,27],"address":[4],"the":[5,12,29,74,117],"significant":[6],"challenge":[7],"of":[8,14,20,59,78],"data":[9,63,66,69,80,105,118],"scarcity":[10,119],"in":[11,115,120],"field":[13],"crack":[15,37,121],"segmentation,":[16],"a":[17,40,47,86,112],"key":[18],"aspect":[19],"structural":[21],"health":[22],"monitoring.":[23],"To":[24],"tackle":[25],"this,":[26],"introduce":[28],"CrackGrowDiff":[30],"framework,":[31],"an":[32],"innovative":[33],"approach":[34],"for":[35,91],"expanding":[36],"datasets.":[38],"Utilizing":[39],"two-stage":[41],"controllable":[42],"generation":[43],"process":[44],"that":[45],"combines":[46],"random":[48],"walk":[49],"algorithm":[50],"and":[51,64,76,107,126],"semantic":[52],"diffusion":[53],"models,":[54],"our":[55],"framework":[56],"minimizes":[57],"discrepancy":[58],"misalignment":[60],"between":[61],"synthetic":[62,79],"original":[65],"while":[67],"enhancing":[68],"informativeness.":[70],"We":[71],"further":[72],"ensure":[73],"quality":[75],"informativeness":[77],"through":[81],"feature":[82],"space":[83],"diversity,":[84],"employing":[85],"pre-trained":[87],"Variational":[88],"Autoencoder":[89],"(VAE)":[90],"selection":[92],"based":[93],"on":[94],"Kullback-Leibler":[95],"(KL)":[96],"divergence.":[97],"Comparative":[98],"experiments":[99],"demonstrate":[100],"CrackGrowDiff\u2019s":[101],"superiority":[102],"over":[103],"traditional":[104],"augmentation":[106],"GANs-based":[108],"methods,":[109],"making":[110],"it":[111],"substantial":[113],"advancement":[114],"addressing":[116],"segmentation":[122],"tasks.":[123],"A":[124],"DEMO":[125],"related":[127],"code":[128],"will":[129],"be":[130],"made":[131],"public:":[132],"https://huggingface.co/spaces/QinLei086/Two-stage-SDM-for-crack-dataset-expending":[133]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
