{"id":"https://openalex.org/W7127113474","doi":"https://doi.org/10.1007/s11633-025-1553-5","title":"Autonomous Detection of Concrete Cracks Using Self-supervised DinoV2","display_name":"Autonomous Detection of Concrete Cracks Using Self-supervised DinoV2","publication_year":2026,"publication_date":"2026-02-01","ids":{"openalex":"https://openalex.org/W7127113474","doi":"https://doi.org/10.1007/s11633-025-1553-5"},"language":"en","primary_location":{"id":"doi:10.1007/s11633-025-1553-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11633-025-1553-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11633-025-1553-5.pdf","source":{"id":"https://openalex.org/S4210224602","display_name":"Machine Intelligence Research","issn_l":"2731-538X","issn":["2731-538X","2731-5398"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Intelligence Research","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11633-025-1553-5.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124770376","display_name":"Taoyuan Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Taoyuan Zhu","raw_affiliation_strings":["School of Computer Science, University of Technology Sydney, Sydney, 2007, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Technology Sydney, Sydney, 2007, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023107987","display_name":"Ali Braytee","orcid":"https://orcid.org/0000-0003-2561-6496"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ali Braytee","raw_affiliation_strings":["School of Computer Science, University of Technology Sydney, Sydney, 2007, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Technology Sydney, Sydney, 2007, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079376016","display_name":"Karthick Thiyagarajan","orcid":"https://orcid.org/0000-0002-4044-1711"},"institutions":[{"id":"https://openalex.org/I63525965","display_name":"Western Sydney University","ror":"https://ror.org/03t52dk35","country_code":"AU","type":"education","lineage":["https://openalex.org/I63525965"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Karthick Thiyagarajan","raw_affiliation_strings":["Smart Sensing and Robotics Laboratory (SensR Lab), Centre for Advanced Manufacturing Technology, Western Sydney University, Penrith, 2751, Australia"],"affiliations":[{"raw_affiliation_string":"Smart Sensing and Robotics Laboratory (SensR Lab), Centre for Advanced Manufacturing Technology, Western Sydney University, Penrith, 2751, Australia","institution_ids":["https://openalex.org/I63525965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010907570","display_name":"Xing Zi","orcid":"https://orcid.org/0009-0001-4265-2205"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xing Zi","raw_affiliation_strings":["School of Computer Science, University of Technology Sydney, Sydney, 2007, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Technology Sydney, Sydney, 2007, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069459279","display_name":"Samir Ahmad dos Santos Mustapha","orcid":null},"institutions":[{"id":"https://openalex.org/I98635879","display_name":"American University of Beirut","ror":"https://ror.org/04pznsd21","country_code":"LB","type":"education","lineage":["https://openalex.org/I98635879"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Samir Mustapha","raw_affiliation_strings":["Laboratory of Smart Structures and Structural Integrity (SSSI), Department of Mechanical Engineering, American University of Beirut, Beirut, 1107 2020, Lebanon"],"affiliations":[{"raw_affiliation_string":"Laboratory of Smart Structures and Structural Integrity (SSSI), Department of Mechanical Engineering, American University of Beirut, Beirut, 1107 2020, Lebanon","institution_ids":["https://openalex.org/I98635879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113205558","display_name":"Xian Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian Tao","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124777116","display_name":"Mukesh Prasad","orcid":null},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Mukesh Prasad","raw_affiliation_strings":["School of Computer Science, University of Technology Sydney, Sydney, 2007, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Technology Sydney, Sydney, 2007, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5124777116"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3658629,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":"1","first_page":"168","last_page":"184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9261000156402588,"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":0.9261000156402588,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.023099999874830246,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.0035000001080334187,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/robustness","display_name":"Robustness (evolution)","score":0.7111999988555908},{"id":"https://openalex.org/keywords/structural-health-monitoring","display_name":"Structural health monitoring","score":0.5187000036239624},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.49549999833106995},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4713999927043915},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.41499999165534973},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.367900013923645},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.35839998722076416},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.35359999537467957}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7111999988555908},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5805000066757202},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5788000226020813},{"id":"https://openalex.org/C2776247918","wikidata":"https://www.wikidata.org/wiki/Q1423713","display_name":"Structural health monitoring","level":2,"score":0.5187000036239624},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.49549999833106995},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49320000410079956},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4713999927043915},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.41499999165534973},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.367900013923645},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.35839998722076416},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.35359999537467957},{"id":"https://openalex.org/C2778757428","wikidata":"https://www.wikidata.org/wiki/Q1250464","display_name":"Realm","level":2,"score":0.3517000079154968},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.3499999940395355},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.32409998774528503},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3199000060558319},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.31380000710487366},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3122999966144562},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2888999879360199},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2583000063896179}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11633-025-1553-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11633-025-1553-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11633-025-1553-5.pdf","source":{"id":"https://openalex.org/S4210224602","display_name":"Machine Intelligence Research","issn_l":"2731-538X","issn":["2731-538X","2731-5398"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Intelligence Research","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11633-025-1553-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11633-025-1553-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11633-025-1553-5.pdf","source":{"id":"https://openalex.org/S4210224602","display_name":"Machine Intelligence Research","issn_l":"2731-538X","issn":["2731-538X","2731-5398"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Intelligence Research","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.42722082138061523,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7127113474.pdf","grobid_xml":"https://content.openalex.org/works/W7127113474.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W2012829059","https://openalex.org/W2014811778","https://openalex.org/W2022252026","https://openalex.org/W2031703128","https://openalex.org/W2064510059","https://openalex.org/W2101926813","https://openalex.org/W2112796928","https://openalex.org/W2151286526","https://openalex.org/W2194775991","https://openalex.org/W2253429366","https://openalex.org/W2407692387","https://openalex.org/W2511065100","https://openalex.org/W2590209538","https://openalex.org/W2754487565","https://openalex.org/W2757455114","https://openalex.org/W2780345045","https://openalex.org/W2800346298","https://openalex.org/W2808919226","https://openalex.org/W2810123099","https://openalex.org/W2887124204","https://openalex.org/W2896969435","https://openalex.org/W2899144041","https://openalex.org/W2910362756","https://openalex.org/W2963446712","https://openalex.org/W2963908722","https://openalex.org/W3035524453","https://openalex.org/W3155019887","https://openalex.org/W3159481202","https://openalex.org/W3163634295","https://openalex.org/W4207053837","https://openalex.org/W4210268135","https://openalex.org/W4226296924","https://openalex.org/W4280491056","https://openalex.org/W4294350997","https://openalex.org/W4323365046","https://openalex.org/W4365395876","https://openalex.org/W4392798797"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"In":[1],"the":[2,8,33,81,84,131,144,175,205,221],"realm":[3],"of":[4,11,31,37,45,83,109,133,146,154,177,208,223],"structural":[5,22,225],"health":[6,226],"monitoring,":[7],"automatic":[9],"detection":[10,90,129],"cracks":[12,150],"on":[13,42],"surfaces":[14],"such":[15,114],"as":[16,95,115],"bridges":[17],"is":[18,50],"paramount":[19],"for":[20,220],"ensuring":[21],"integrity.":[23],"Traditional":[24],"supervised":[25,163],"deep":[26],"learning":[27,164],"models,":[28],"while":[29],"capable":[30],"predicting":[32],"size":[34],"and":[35,68,118,157,198],"location":[36],"cracks,":[38],"are":[39],"heavily":[40],"reliant":[41],"vast":[43],"amounts":[44],"precisely":[46],"labeled":[47,134],"data,":[48],"which":[49],"not":[51,172],"only":[52,173],"time-consuming":[53],"but":[54,186],"also":[55,187],"impractical":[56],"in":[57,88,112,148,191,211],"specific":[58],"scenarios.":[59],"More":[60],"critically,":[61],"these":[62],"models":[63,210],"exhibit":[64],"limited":[65],"generalization":[66],"ability":[67],"robustness":[69],"when":[70,181],"confronted":[71],"with":[72,137,160,183],"novel":[73],"or":[74],"complex":[75,155,192],"datasets.":[76],"This":[77,202],"paper":[78],"primarily":[79],"explores":[80],"potential":[82,207],"self-supervised":[85,209],"model":[86,124],"DinoV2":[87,103,147,171],"crack":[89,110,128,178],"applications,":[91],"particularly":[92],"its":[93],"capability":[94],"a":[96,138,152,217],"powerful":[97],"visual":[98,107],"feature":[99],"extractor.":[100],"By":[101],"leveraging":[102],"to":[104],"extract":[105],"key":[106],"features":[108],"patterns":[111],"images,":[113,185],"texture,":[116],"shape":[117],"context,":[119],"we":[120,142],"demonstrate":[121],"how":[122],"this":[123],"can":[125],"effectively":[126],"perform":[127],"without":[130],"support":[132],"data.":[135],"Coupled":[136],"linear":[139],"classification":[140],"head,":[141],"evaluated":[143],"effectiveness":[145],"identifying":[149],"across":[151],"variety":[153],"backgrounds":[156],"compared":[158],"it":[159],"several":[161],"mainstream":[162],"models.":[165],"The":[166],"experimental":[167],"results":[168],"indicate":[169],"that":[170],"enhances":[174],"performance":[176],"detection,":[179],"especially":[180],"dealing":[182],"unlabeled":[184],"exhibits":[188],"significant":[189],"superiority":[190],"scenarios":[193],"characterized":[194],"by":[195],"high":[196],"noise":[197],"different":[199],"material":[200],"textures.":[201],"study":[203],"underscores":[204],"application":[206],"addressing":[212],"real-world":[213],"engineering":[214],"problems,":[215],"offering":[216],"new":[218],"perspective":[219],"development":[222],"future":[224],"monitoring":[227],"technologies.":[228]},"counts_by_year":[],"updated_date":"2026-03-13T14:20:09.374765","created_date":"2026-02-03T00:00:00"}
