{"id":"https://openalex.org/W7159682951","doi":"https://doi.org/10.48550/arxiv.2604.27928","title":"Training-Free Tunnel Defect Inspection and Engineering Interpretation via Visual Recalibration and Entity Reconstruction","display_name":"Training-Free Tunnel Defect Inspection and Engineering Interpretation via Visual Recalibration and Entity Reconstruction","publication_year":2026,"publication_date":"2026-04-30","ids":{"openalex":"https://openalex.org/W7159682951","doi":"https://doi.org/10.48550/arxiv.2604.27928"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.27928","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.27928","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.27928","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043593805","display_name":"Shipeng Liu","orcid":"https://orcid.org/0000-0003-0524-5085"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Shipeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134938723","display_name":"Liang Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Liang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134950550","display_name":"Dengfeng Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Dengfeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5121878560","display_name":"Song Zhanping","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Song, Zhanping","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9221000075340271,"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":0.9221000075340271,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.010999999940395355,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T12482","display_name":"Tunneling and Rock Mechanics","score":0.009100000374019146,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6439999938011169},{"id":"https://openalex.org/keywords/visual-inspection","display_name":"Visual inspection","score":0.5827000141143799},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.5220000147819519},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.517799973487854},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.42289999127388},{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.4049000144004822}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6439999938011169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6021000146865845},{"id":"https://openalex.org/C168820333","wikidata":"https://www.wikidata.org/wiki/Q448889","display_name":"Visual inspection","level":2,"score":0.5827000141143799},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.5220000147819519},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.517799973487854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48840001225471497},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.42289999127388},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42010000348091125},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.4049000144004822},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.40119999647140503},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.33149999380111694},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.32429999113082886},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3034000098705292},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.29350000619888306},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2678000032901764}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.27928","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.27928","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.27928","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.27928","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.7332424521446228,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Tunnel":[0],"inspection":[1,136],"requires":[2],"outputs":[3],"that":[4,65,133],"can":[5,69,137],"support":[6,54],"defect":[7,43,88,118,144],"localization,":[8],"measurement,":[9],"severity":[10],"grading,":[11],"and":[12,95,105,116,127],"engineering":[13,147],"documentation.":[14],"Existing":[15],"training-free":[16,38,134],"foundation-model":[17],"pipelines":[18],"usually":[19],"stop":[20],"at":[21,57],"coarse":[22,66,140],"open-vocabulary":[23],"proposals,":[24],"which":[25,98],"are":[26,45,83,99],"difficult":[27],"to":[28,102],"use":[29],"directly":[30],"in":[31],"interference-heavy":[32],"tunnel":[33,135],"scenes.":[34],"We":[35],"propose":[36],"a":[37],"framework":[39],"TunnelMIND.":[40],"Specifically,":[41],"language-guided":[42],"proposals":[44],"not":[46],"treated":[47],"as":[48],"final":[49],"outputs;":[50],"instead,":[51],"their":[52],"spatial":[53],"is":[55],"recalibrated":[56],"inference":[58],"time":[59],"through":[60],"dense":[61],"visual":[62],"consistency,":[63],"so":[64],"semantic":[67],"anchors":[68],"be":[70],"transformed":[71],"into":[72,86],"more":[73],"reliable":[74],"prompts":[75],"under":[76,109],"tunnel-specific":[77],"hard":[78],"negatives.":[79],"The":[80],"resulting":[81],"masks":[82],"further":[84],"reconstructed":[85],"structured":[87,143],"entities":[89],"with":[90],"category,":[91],"location,":[92],"geometry,":[93],"severity,":[94],"context":[96],"attributes,":[97],"then":[100],"mapped":[101],"retrieval-grounded":[103],"explanation":[104],"engineering-readable":[106],"report":[107],"generation":[108],"expert":[110],"knowledge":[111],"constraints.":[112],"On":[113],"visible,":[114],"GPR,":[115],"road":[117],"tasks,":[119],"TunnelMIND":[120,131],"achieves":[121],"F1":[122],"scores":[123],"of":[124],"0.68,":[125],"0.78,":[126],"0.72,":[128],"respectively.":[129],"Overall,":[130],"shows":[132],"move":[138],"beyond":[139],"localization":[141],"toward":[142],"evidence":[145],"for":[146],"assessment.":[148]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-02T00:00:00"}