{"id":"https://openalex.org/W4414879676","doi":"https://doi.org/10.1109/wacv61042.2026.00582","title":"RoadBench: A Vision-Language Foundation Model and Benchmark for Road Damage Understanding","display_name":"RoadBench: A Vision-Language Foundation Model and Benchmark for Road Damage Understanding","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W4414879676","doi":"https://doi.org/10.1109/wacv61042.2026.00582"},"language":"en","primary_location":{"id":"doi:10.1109/wacv61042.2026.00582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00582","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2507.17353","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101600503","display_name":"Xi Xiao","orcid":"https://orcid.org/0000-0003-1521-9542"},"institutions":[{"id":"https://openalex.org/I32389192","display_name":"University of Alabama at Birmingham","ror":"https://ror.org/008s83205","country_code":"US","type":"education","lineage":["https://openalex.org/I32389192"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xi Xiao","raw_affiliation_strings":["University of Alabama at Birmingham,Birmingham,AL,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alabama at Birmingham,Birmingham,AL,USA","institution_ids":["https://openalex.org/I32389192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104139277","display_name":"Yunbei Zhang","orcid":"https://orcid.org/0009-0002-3092-5920"},"institutions":[{"id":"https://openalex.org/I114832834","display_name":"Tulane University","ror":"https://ror.org/04vmvtb21","country_code":"US","type":"education","lineage":["https://openalex.org/I114832834"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yunbei Zhang","raw_affiliation_strings":["Tulane University,New Orleans,LA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tulane University,New Orleans,LA,USA","institution_ids":["https://openalex.org/I114832834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044716881","display_name":"Janet Wang","orcid":"https://orcid.org/0000-0002-4411-0143"},"institutions":[{"id":"https://openalex.org/I114832834","display_name":"Tulane University","ror":"https://ror.org/04vmvtb21","country_code":"US","type":"education","lineage":["https://openalex.org/I114832834"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Janet Wang","raw_affiliation_strings":["Tulane University,New Orleans,LA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tulane University,New Orleans,LA,USA","institution_ids":["https://openalex.org/I114832834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100781561","display_name":"Lin Zhao","orcid":"https://orcid.org/0000-0002-6469-2902"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lin Zhao","raw_affiliation_strings":["Northeastern University,Boston,MA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University,Boston,MA,USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058312928","display_name":"Yuxiang Wei","orcid":"https://orcid.org/0000-0002-4391-3753"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuxiang Wei","raw_affiliation_strings":["Georgia Institute of Technology,Atlanta,GA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,Atlanta,GA,USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008019444","display_name":"Hengjia Li","orcid":"https://orcid.org/0009-0007-6184-9437"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hengjia Li","raw_affiliation_strings":["Carnegie Mellon University,Pittsburgh,PA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,Pittsburgh,PA,USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101589348","display_name":"Yanshu Li","orcid":"https://orcid.org/0000-0002-2902-7034"},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanshu Li","raw_affiliation_strings":["Brown University,Providence,RI,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brown University,Providence,RI,USA","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiao Wang","raw_affiliation_strings":["Oak Ridge National Laboratory,Oak Ridge,TN,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory,Oak Ridge,TN,USA","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087427076","display_name":"Swalpa Kumar Roy","orcid":"https://orcid.org/0000-0002-6580-3977"},"institutions":[{"id":"https://openalex.org/I126601174","display_name":"Tezpur University","ror":"https://ror.org/005x56091","country_code":"IN","type":"education","lineage":["https://openalex.org/I126601174"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Swalpa Kumar Roy","raw_affiliation_strings":["Tezpur University,Assam,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tezpur University,Assam,India","institution_ids":["https://openalex.org/I126601174"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078176055","display_name":"Hao Xu","orcid":"https://orcid.org/0000-0003-1314-4540"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Xu","raw_affiliation_strings":["Harvard University,Cambridge,MA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard University,Cambridge,MA,USA","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"last","author":{"id":null,"display_name":"Tianyang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I32389192","display_name":"University of Alabama at Birmingham","ror":"https://ror.org/008s83205","country_code":"US","type":"education","lineage":["https://openalex.org/I32389192"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianyang Wang","raw_affiliation_strings":["University of Alabama at Birmingham,Birmingham,AL,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alabama at Birmingham,Birmingham,AL,USA","institution_ids":["https://openalex.org/I32389192"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"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":"6016","last_page":"6026"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9955999851226807,"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":0.9955999851226807,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9007999897003174,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/benchmark","display_name":"Benchmark (surveying)","score":0.7192000150680542},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6560999751091003},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6093999743461609},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.541700005531311},{"id":"https://openalex.org/keywords/damages","display_name":"Damages","score":0.44589999318122864},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4284000098705292},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.374099999666214},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.37040001153945923}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7192000150680542},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7190999984741211},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6560999751091003},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6093999743461609},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.541700005531311},{"id":"https://openalex.org/C2777381055","wikidata":"https://www.wikidata.org/wiki/Q308922","display_name":"Damages","level":2,"score":0.44589999318122864},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4284000098705292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4244999885559082},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.374099999666214},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.37040001153945923},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3601999878883362},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.359499990940094},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.35519999265670776},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.31220000982284546},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.3111000061035156},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.30320000648498535},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2992999851703644},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.28369998931884766},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2802000045776367},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.26339998841285706},{"id":"https://openalex.org/C188048851","wikidata":"https://www.wikidata.org/wiki/Q2298569","display_name":"Road map","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.26030001044273376},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.25209999084472656},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.25049999356269836}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/wacv61042.2026.00582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00582","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2507.17353","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.17353","pdf_url":"https://arxiv.org/pdf/2507.17353","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2507.17353","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2507.17353","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2507.17353","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.17353","pdf_url":"https://arxiv.org/pdf/2507.17353","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338287","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"road":[1,42,51,91,106,139,163],"damage":[2,43,140],"detection":[3],"is":[4],"crucial":[5],"for":[6,40,61,96,161,169,176],"timely":[7],"infrastructure":[8,179],"maintenance":[9],"and":[10,17,93,158,172],"public":[11],"safety,":[12],"but":[13],"existing":[14,145],"vision-only":[15,146],"datasets":[16],"models":[18,147],"lack":[19],"the":[20,36,102,118,153,170,174],"rich":[21],"contextual":[22],"understanding":[23,104],"that":[24,72,86,133],"textual":[25,55,159],"information":[26,160],"can":[27],"provide.":[28],"To":[29],"address":[30],"this":[31],"limitation,":[32],"we":[33],"introduce":[34],"RoadBench,":[35],"first":[37],"multimodal":[38,182],"benchmark":[39],"comprehensive":[41],"understanding.":[44],"This":[45],"dataset":[46],"pairs":[47,120],"high-resolution":[48],"images":[49],"of":[50,90,105,155],"damages":[52],"with":[53],"detailed":[54],"descriptions,":[56],"providing":[57],"a":[58,68,82,94,111],"richer":[59],"context":[60],"model":[62,71],"training.":[63],"We":[64,108],"also":[65],"present":[66],"RoadCLIP,":[67],"novel":[69],"vision-language":[70],"builds":[73],"upon":[74],"CLIP":[75],"by":[76,148],"integrating":[77,156],"domain-specific":[78],"enhancements.":[79],"It":[80],"includes":[81],"disease-aware":[83],"positional":[84],"encoding":[85],"captures":[87],"spatial":[88],"patterns":[89],"defects":[92],"mechanism":[95],"injecting":[97],"road-condition":[98],"priors":[99],"to":[100,116],"refine":[101],"model\u2019s":[103],"damages.":[107],"further":[109],"employ":[110],"GPT-driven":[112],"data":[113,125],"generation":[114],"pipeline":[115],"expand":[117],"image\u2013text":[119],"in":[121],"Road-Bench,":[122],"greatly":[123],"increasing":[124],"diversity":[126],"without":[127],"exhaustive":[128],"manual":[129],"annotation.":[130],"Experiments":[131],"demonstrate":[132],"Road-CLIP":[134],"achieves":[135],"state-of-the-art":[136],"performance":[137],"on":[138],"recognition":[141],"tasks,":[142],"significantly":[143],"outperforming":[144],"19.2%.":[149],"These":[150],"results":[151],"highlight":[152],"advantages":[154],"visual":[157],"enhanced":[162],"condition":[164],"analysis,":[165],"setting":[166],"new":[167],"benchmarks":[168],"field":[171],"paving":[173],"way":[175],"more":[177],"effective":[178],"monitoring":[180],"through":[181],"learning.":[183]},"counts_by_year":[],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}