{"id":"https://openalex.org/W4411551076","doi":"https://doi.org/10.1109/tii.2025.3576871","title":"Self-Adaptive Fourier Augmentation Framework for Crack Segmentation in Industrial Scenarios","display_name":"Self-Adaptive Fourier Augmentation Framework for Crack Segmentation in Industrial Scenarios","publication_year":2025,"publication_date":"2025-06-23","ids":{"openalex":"https://openalex.org/W4411551076","doi":"https://doi.org/10.1109/tii.2025.3576871"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2025.3576871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3576871","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/A5008344915","display_name":"Zhuangzhuang Chen","orcid":"https://orcid.org/0000-0002-0336-1181"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuangzhuang Chen","raw_affiliation_strings":["School of Artificial Intelligence, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-0336-1181","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100706806","display_name":"Tao Hu","orcid":"https://orcid.org/0009-0007-3757-9131"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Hu","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0007-3757-9131","affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073538359","display_name":"Chengqi Xu","orcid":"https://orcid.org/0000-0001-5990-7537"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chengqi Xu","raw_affiliation_strings":["Department of Computer Science, University of Southern California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047093288","display_name":"Jie Chen","orcid":"https://orcid.org/0000-0002-9811-1694"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Chen","raw_affiliation_strings":["School of Artificial Intelligence, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-9811-1694","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079301418","display_name":"Houbing Song","orcid":"https://orcid.org/0000-0003-2631-9223"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Houbing Herbert Song","raw_affiliation_strings":["Department of Information Systems, University of Maryland, Baltimore County (UMBC), Baltimore, MD, USA"],"raw_orcid":"https://orcid.org/0000-0003-2631-9223","affiliations":[{"raw_affiliation_string":"Department of Information Systems, University of Maryland, Baltimore County (UMBC), Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100335882","display_name":"Li Wang","orcid":"https://orcid.org/0000-0001-8707-3269"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Wang","raw_affiliation_strings":["School of Artificial Intelligence, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-8707-3269","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100393871","display_name":"Jianqiang Li","orcid":"https://orcid.org/0000-0002-2208-962X"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqiang Li","raw_affiliation_strings":["School of Artificial Intelligence, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2208-962X","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.6179,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.92934491,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"21","issue":"10","first_page":"7487","last_page":"7498"},"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":0.9919999837875366,"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":0.9919999837875366,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9911999702453613,"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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9835000038146973,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5186445116996765},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.456946462392807},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.4269362986087799},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3135281205177307},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1468167006969452}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5186445116996765},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.456946462392807},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.4269362986087799},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3135281205177307},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1468167006969452},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2025.3576871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3576871","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":[],"awards":[{"id":"https://openalex.org/G1646442845","display_name":null,"funder_award_id":"62473264","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1954803441","display_name":null,"funder_award_id":"20220809141216003","funder_id":"https://openalex.org/F4320326705","funder_display_name":"Science, Technology and Innovation Commission of Shenzhen Municipality"},{"id":"https://openalex.org/G3550247469","display_name":null,"funder_award_id":"KJZD20230923113801004","funder_id":"https://openalex.org/F4320326705","funder_display_name":"Science, Technology and Innovation Commission of Shenzhen Municipality"},{"id":"https://openalex.org/G5051009293","display_name":null,"funder_award_id":"2023B1515120038","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G8411257915","display_name":null,"funder_award_id":"62203134","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8955274695","display_name":null,"funder_award_id":"62373257","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320326705","display_name":"Science, Technology and Innovation Commission of Shenzhen Municipality","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2144801789","https://openalex.org/W2511065100","https://openalex.org/W3096831136","https://openalex.org/W3176659256","https://openalex.org/W3183864931","https://openalex.org/W3201890785","https://openalex.org/W3202498229","https://openalex.org/W4282837177","https://openalex.org/W4285279978","https://openalex.org/W4306848311","https://openalex.org/W4312439170","https://openalex.org/W4322753738","https://openalex.org/W4362453650","https://openalex.org/W4367146803","https://openalex.org/W4367663322","https://openalex.org/W4385291980","https://openalex.org/W4385825790","https://openalex.org/W4386598383","https://openalex.org/W4387374443","https://openalex.org/W4390442884","https://openalex.org/W4390872876","https://openalex.org/W4390873241","https://openalex.org/W4390933804","https://openalex.org/W4391019592","https://openalex.org/W4391216293","https://openalex.org/W4392285359","https://openalex.org/W4393397583","https://openalex.org/W4396825686","https://openalex.org/W4398151645","https://openalex.org/W4399449166","https://openalex.org/W4399618434","https://openalex.org/W4400001753","https://openalex.org/W4401933151","https://openalex.org/W4402353871","https://openalex.org/W4402980912","https://openalex.org/W4403888611","https://openalex.org/W4406057791"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Crack":[0],"segmentation":[1,25,128],"receives":[2],"extensive":[3,39,45],"attention":[4],"in":[5,67,136,197],"structure":[6],"health":[7],"monitoring":[8],"for":[9,53,125,177],"many":[10],"industrial":[11],"scenarios,":[12],"e.g.,":[13],"bridges,":[14],"highways,":[15],"and":[16,102,147,157,204],"nuclear":[17],"power":[18],"plants.":[19],"The":[20,150],"current":[21],"deep":[22,65],"learning-based":[23],"crack":[24,33,41,46,123,127],"models":[26,66],"enjoy":[27],"the":[28,61,74,85,105,155,165,169,191,198,211,217],"ability":[29],"to":[30,96,153],"extract":[31],"discriminative":[32,179],"features":[34,180],"by":[35,172],"training":[36,126,199],"with":[37,48],"an":[38,137],"labeled":[40],"dataset.":[42],"However,":[43],"collecting":[44],"samples":[47,124,176],"accurate":[49],"annotations":[50],"from":[51],"experts":[52],"a":[54,79,114,182],"new":[55],"scenario":[56],"is":[57,90,187,194],"labor-intensive,":[58],"thereby":[59],"limiting":[60],"effectiveness":[62],"of":[63,87,160,213],"these":[64,174],"practical":[68],"applications.":[69],"To":[70,108],"address":[71],"this":[72,111],"problem,":[73],"existing":[75,218],"Fourier-based":[76,144,161],"augmentation":[77,117,146],"adopts":[78],"vanilla":[80],"amplitude":[81,88],"fusion":[82],"process,":[83],"i.e.,":[84],"portion":[86],"components":[89],"fixed":[91],"or":[92],"randomly":[93],"selected,":[94],"failing":[95],"guarantee":[97,154],"augmented":[98,162,175],"samples\u2019":[99],"semantics":[100,158],"consistency,":[101],"diversity":[103,156],"concerning":[104],"original":[106],"sample.":[107],"fill":[109],"this,":[110],"article":[112],"proposes":[113],"self-adaptive":[115,143],"Fourier":[116,134],"framework":[118,132],"that":[119,190],"efficiently":[120],"synthesizes":[121],"diverse":[122],"models.":[129],"Our":[130],"proposed":[131,192],"advances":[133],"transformation":[135],"adversarial":[138],"learning":[139],"manner,":[140],"alternating":[141],"between":[142],"data":[145],"teacher\u2013student":[148],"learning.":[149],"former":[151],"aims":[152],"consistency":[159],"samples,":[163],"while":[164],"latter":[166],"progressively":[167],"updates":[168],"student":[170],"network":[171],"observing":[173],"extracting":[178],"via":[181],"knowledge":[183],"distillation":[184],"mechanism.":[185],"It":[186],"worth":[188],"noting":[189],"method":[193,215],"only":[195],"applied":[196],"stage":[200],"without":[201],"extra":[202],"computation":[203],"memory":[205],"during":[206],"inference.":[207],"Extensive":[208],"experiments":[209],"demonstrate":[210],"superiority":[212],"our":[214],"over":[216],"methods.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}