{"id":"https://openalex.org/W4416537248","doi":"https://doi.org/10.1061/jccee5.cpeng-7223","title":"Unsupervised Domain Adaptation for Crack Segmentation via Cross-Domain Stylization and Dual Adversarial Feature Learning","display_name":"Unsupervised Domain Adaptation for Crack Segmentation via Cross-Domain Stylization and Dual Adversarial Feature Learning","publication_year":2025,"publication_date":"2025-11-22","ids":{"openalex":"https://openalex.org/W4416537248","doi":"https://doi.org/10.1061/jccee5.cpeng-7223"},"language":"en","primary_location":{"id":"doi:10.1061/jccee5.cpeng-7223","is_oa":false,"landing_page_url":"https://doi.org/10.1061/jccee5.cpeng-7223","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","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/A5117653898","display_name":"Yvon Apedo","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yvon Apedo","raw_affiliation_strings":["Northwestern Polytechnical Univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical Univ","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033741559","display_name":"Huanjie Tao","orcid":"https://orcid.org/0000-0002-1453-2468"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanjie Tao","raw_affiliation_strings":["Northwestern Polytechnical Univ"],"raw_orcid":"https://orcid.org/0000-0002-1453-2468","affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical Univ","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036909475","display_name":"Wu Gao","orcid":"https://orcid.org/0000-0003-0007-0968"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu Gao","raw_affiliation_strings":["Northwestern Polytechnical Univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical Univ","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045231545","display_name":"Chao Xie","orcid":"https://orcid.org/0000-0001-7542-1270"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Xie","raw_affiliation_strings":["Nanjing Forestry Univ"],"raw_orcid":"https://orcid.org/0000-0001-7542-1270","affiliations":[{"raw_affiliation_string":"Nanjing Forestry Univ","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033823318","display_name":"Shusen Zhao","orcid":"https://orcid.org/0000-0001-6934-8548"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shusen Zhao","raw_affiliation_strings":["Southern Univ. of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern Univ. of Science and Technology","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.2793,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.95868315,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"40","issue":"2","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":0.9847999811172485,"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":0.9847999811172485,"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":0.0024999999441206455,"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/T10264","display_name":"Asphalt Pavement Performance Evaluation","score":0.0012000000569969416,"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/segmentation","display_name":"Segmentation","score":0.6833000183105469},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6628000140190125},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5371999740600586},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5236999988555908},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5052000284194946},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4997999966144562},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.4749000072479248},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4553000032901764},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45509999990463257}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7175999879837036},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6833000183105469},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6628000140190125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.645799994468689},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5371999740600586},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5236999988555908},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5052000284194946},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4997999966144562},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.4749000072479248},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4553000032901764},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45509999990463257},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4275999963283539},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.3937000036239624},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3804999887943268},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37950000166893005},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.37860000133514404},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3756999969482422},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3747999966144562},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.3271999955177307},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.32269999384880066},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3181000053882599},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.31150001287460327},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.3109000027179718},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.30970001220703125},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.27390000224113464},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26030001044273376},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.25769999623298645},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1061/jccee5.cpeng-7223","is_oa":false,"landing_page_url":"https://doi.org/10.1061/jccee5.cpeng-7223","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W845365781","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1976047850","https://openalex.org/W2058988978","https://openalex.org/W2075935813","https://openalex.org/W2144801789","https://openalex.org/W2407692387","https://openalex.org/W2591692311","https://openalex.org/W2593768305","https://openalex.org/W2603777577","https://openalex.org/W2748643398","https://openalex.org/W2814406141","https://openalex.org/W2889494142","https://openalex.org/W2899242765","https://openalex.org/W2912350898","https://openalex.org/W2912530595","https://openalex.org/W2963107255","https://openalex.org/W2963446712","https://openalex.org/W2963881378","https://openalex.org/W2964308596","https://openalex.org/W2989673213","https://openalex.org/W2997724457","https://openalex.org/W3048985289","https://openalex.org/W3118600296","https://openalex.org/W3173206925","https://openalex.org/W3175294391","https://openalex.org/W3201890785","https://openalex.org/W3217147624","https://openalex.org/W4296913793","https://openalex.org/W4313056423","https://openalex.org/W4367146803","https://openalex.org/W4368352560","https://openalex.org/W4377235255","https://openalex.org/W4378906531","https://openalex.org/W4383108799","https://openalex.org/W4387520897","https://openalex.org/W4387674460","https://openalex.org/W4387731036","https://openalex.org/W4388036255","https://openalex.org/W4389005264","https://openalex.org/W4390442884","https://openalex.org/W4390824415","https://openalex.org/W4391216293","https://openalex.org/W4392504736","https://openalex.org/W4392843888","https://openalex.org/W4392977013","https://openalex.org/W4393245867","https://openalex.org/W4394828379","https://openalex.org/W4400087411","https://openalex.org/W4400098504","https://openalex.org/W4401096488","https://openalex.org/W4401498317","https://openalex.org/W4402716453","https://openalex.org/W4403094392","https://openalex.org/W4404514777","https://openalex.org/W4404726712","https://openalex.org/W4404959580","https://openalex.org/W4405897510","https://openalex.org/W4410653413"],"related_works":[],"abstract_inverted_index":{"Surface":[0],"crack":[1,82,152,215],"segmentation":[2,185],"is":[3],"critical":[4,61],"for":[5,80,195,201,208,230],"infrastructure":[6],"inspection,":[7],"yet":[8],"deep-learning-based":[9],"methods":[10,40],"are":[11,48,58],"hampered":[12],"by":[13],"their":[14],"reliance":[15],"on":[16,156],"large":[17],"annotated":[18],"data":[19,158,235],"sets":[20],"and":[21,53,60,103,129,135,150,169,203,226],"poor":[22],"generalization":[23],"across":[24],"domains":[25],"due":[26],"to":[27,51,146,223],"distribution":[28],"shifts.":[29],"While":[30],"unsupervised":[31,76],"domain":[32,77,109,224],"adaptation":[33,78],"(UDA)":[34],"offers":[35],"a":[36,74,89,116,188,197,204,238],"promising":[37],"solution,":[38],"existing":[39],"struggle":[41],"with":[42],"crack-specific":[43],"challenges;":[44],"since":[45],"thin":[46],"structures":[47],"highly":[49],"sensitive":[50],"style":[52,99],"texture":[54],"interference,":[55],"feature-level":[56],"disparities":[57],"overlooked,":[59],"edge":[62],"information":[63],"degrades":[64],"during":[65],"adaptation.":[66],"To":[67],"address":[68],"these":[69],"issues,":[70],"we":[71],"propose":[72],"CDE-Crack,":[73],"novel":[75],"framework":[79],"robust":[81],"segmentation,":[83],"featuring":[84],"three":[85],"innovative":[86],"modules:":[87],"(1)":[88],"cross-domain":[90,184],"stylization":[91],"network":[92],"(CSN)":[93],"that":[94,123,142,175],"aligns":[95,125],"pixel-level":[96],"distributions":[97],"through":[98],"transfer,":[100],"shape":[101],"preservation,":[102],"frequency-domain":[104],"amplitude":[105],"fusion,":[106],"effectively":[107],"minimizing":[108],"gaps":[110],"while":[111],"retaining":[112],"structural":[113],"fidelity;":[114],"(2)":[115],"dual":[117],"adversarial":[118],"feature":[119,130],"learning":[120],"(DAFL)":[121],"strategy":[122],"simultaneously":[124],"high-level":[126],"semantic":[127],"features":[128],"representations,":[131],"significantly":[132],"enhancing":[133],"generalization;":[134],"(3)":[136],"an":[137],"edge-consistency":[138],"refinement":[139],"(ECR)":[140],"module":[141],"leverages":[143],"edge-aware":[144],"supervision":[145],"correct":[147],"boundary":[148],"distortions":[149],"preserve":[151],"integrity.":[153],"Extensive":[154],"experiments":[155],"five":[157],"sets,":[159],"Crack500":[160],"(buildings),":[161],"CrackTree":[162],"200":[163],"(pavement),":[164],"CrackFCN":[165],"(concrete),":[166],"CrackForest":[167],"(asphalt),":[168],"MVTec":[170],"AD":[171],"(marble":[172],"tiles),":[173],"demonstrate":[174],"CDE-Crack":[176],"outperforms":[177],"state-of-the-art":[178],"methods,":[179],"achieving":[180],"remarkable":[181],"improvements":[182],"in":[183,212],"accuracy,":[186],"including":[187],"12.473%":[189],"optimal":[190],"image":[191],"scale":[192],"(OIS)":[193],"improvement":[194,200,207],"Crack500\u2192CT200,":[196],"13.15%":[198],"OIS":[199,206],"CrackFCN\u2192CFD,":[202],"10.038%":[205],"CrackFCN\u2192MVTec":[209],"AD,":[210],"particularly":[211],"preserving":[213],"fine":[214],"details.":[216],"These":[217],"results":[218],"validate":[219],"the":[220],"framework\u2019s":[221],"robustness":[222],"shifts":[225],"its":[227],"substantial":[228],"potential":[229],"real-world":[231],"inspection":[232],"scenarios,":[233],"where":[234],"variability":[236],"remains":[237],"persistent":[239],"challenge.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":8}],"updated_date":"2026-06-25T08:15:23.626066","created_date":"2025-11-23T00:00:00"}