{"id":"https://openalex.org/W3040786507","doi":"https://doi.org/10.1061/(asce)cp.1943-5487.0000918","title":"Machine Learning for Crack Detection: Review and Model Performance Comparison","display_name":"Machine Learning for Crack Detection: Review and Model Performance Comparison","publication_year":2020,"publication_date":"2020-07-13","ids":{"openalex":"https://openalex.org/W3040786507","doi":"https://doi.org/10.1061/(asce)cp.1943-5487.0000918","mag":"3040786507"},"language":"en","primary_location":{"id":"doi:10.1061/(asce)cp.1943-5487.0000918","is_oa":false,"landing_page_url":"https://doi.org/10.1061/(asce)cp.1943-5487.0000918","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/A5019599321","display_name":"Yung\u2010An Hsieh","orcid":"https://orcid.org/0000-0001-8964-2912"},"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"]},{"id":"https://openalex.org/I4210142152","display_name":"ORCID","ror":"https://ror.org/04fa4r544","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210142152"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yung-An Hsieh","raw_affiliation_strings":["Ph.D. Candidate, Dept. of Computer and Electrical Engineering, Georgia Institute of Technology, Atlanta, GA 30332 (corresponding author). ORCID: ","Ph.D. Candidate, Dept. of Computer and Electrical Engineering, Georgia Institute of Technology, Atlanta, GA 30332. ORCID: https://orcid.org/0000-0001-8964-2912"],"affiliations":[{"raw_affiliation_string":"Ph.D. Candidate, Dept. of Computer and Electrical Engineering, Georgia Institute of Technology, Atlanta, GA 30332 (corresponding author). ORCID: ","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Ph.D. Candidate, Dept. of Computer and Electrical Engineering, Georgia Institute of Technology, Atlanta, GA 30332. ORCID: https://orcid.org/0000-0001-8964-2912","institution_ids":["https://openalex.org/I130701444","https://openalex.org/I4210142152"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035383838","display_name":"Yichang Tsai","orcid":"https://orcid.org/0000-0002-6650-2279"},"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"]},{"id":"https://openalex.org/I4210142152","display_name":"ORCID","ror":"https://ror.org/04fa4r544","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210142152"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yichang James Tsai","raw_affiliation_strings":["Professor, Dept. of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332. ORCID: ","Professor, Dept. of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332. ORCID: https://orcid.org/0000-0002-6650-2279"],"affiliations":[{"raw_affiliation_string":"Professor, Dept. of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332. ORCID: ","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Professor, Dept. of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332. ORCID: https://orcid.org/0000-0002-6650-2279","institution_ids":["https://openalex.org/I130701444","https://openalex.org/I4210142152"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019599321"],"corresponding_institution_ids":["https://openalex.org/I130701444","https://openalex.org/I4210142152"],"apc_list":null,"apc_paid":null,"fwci":25.1104,"has_fulltext":false,"cited_by_count":387,"citation_normalized_percentile":{"value":0.99911498,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"34","issue":"5","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":1.0,"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":1.0,"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/T10264","display_name":"Asphalt Pavement Performance Evaluation","score":0.9965999722480774,"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/T11850","display_name":"Concrete Corrosion and Durability","score":0.9912999868392944,"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":0.6829211711883545},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6390090584754944},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6154190301895142},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5691271424293518},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5660419464111328},{"id":"https://openalex.org/keywords/hausdorff-distance","display_name":"Hausdorff distance","score":0.5385573506355286},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43309757113456726},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1995427906513214}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6829211711883545},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6390090584754944},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6154190301895142},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5691271424293518},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5660419464111328},{"id":"https://openalex.org/C141898687","wikidata":"https://www.wikidata.org/wiki/Q1501997","display_name":"Hausdorff distance","level":2,"score":0.5385573506355286},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43309757113456726},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1995427906513214},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1061/(asce)cp.1943-5487.0000918","is_oa":false,"landing_page_url":"https://doi.org/10.1061/(asce)cp.1943-5487.0000918","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":96,"referenced_works":["https://openalex.org/W130013534","https://openalex.org/W619700173","https://openalex.org/W1590581903","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1838423138","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1918005223","https://openalex.org/W1941370076","https://openalex.org/W2012829059","https://openalex.org/W2019496031","https://openalex.org/W2030398544","https://openalex.org/W2031703128","https://openalex.org/W2036578970","https://openalex.org/W2074925468","https://openalex.org/W2097500895","https://openalex.org/W2120841936","https://openalex.org/W2125389028","https://openalex.org/W2128628015","https://openalex.org/W2144801789","https://openalex.org/W2169303706","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2405589048","https://openalex.org/W2407692387","https://openalex.org/W2511065100","https://openalex.org/W2521928520","https://openalex.org/W2523358814","https://openalex.org/W2559655401","https://openalex.org/W2581984397","https://openalex.org/W2588180165","https://openalex.org/W2588473611","https://openalex.org/W2590209538","https://openalex.org/W2598457882","https://openalex.org/W2598804554","https://openalex.org/W2612363743","https://openalex.org/W2612491774","https://openalex.org/W2625840022","https://openalex.org/W2735386636","https://openalex.org/W2745396798","https://openalex.org/W2746523014","https://openalex.org/W2748643398","https://openalex.org/W2754487565","https://openalex.org/W2757455114","https://openalex.org/W2758574519","https://openalex.org/W2765854388","https://openalex.org/W2769644921","https://openalex.org/W2782408838","https://openalex.org/W2786174052","https://openalex.org/W2796506861","https://openalex.org/W2801439730","https://openalex.org/W2803041422","https://openalex.org/W2806229851","https://openalex.org/W2808919226","https://openalex.org/W2814406141","https://openalex.org/W2840807046","https://openalex.org/W2886369963","https://openalex.org/W2887124204","https://openalex.org/W2889035772","https://openalex.org/W2889494142","https://openalex.org/W2890650144","https://openalex.org/W2890733150","https://openalex.org/W2891363856","https://openalex.org/W2893332164","https://openalex.org/W2896613037","https://openalex.org/W2896969435","https://openalex.org/W2898532924","https://openalex.org/W2899242765","https://openalex.org/W2902195199","https://openalex.org/W2903167052","https://openalex.org/W2903583898","https://openalex.org/W2905163589","https://openalex.org/W2906977256","https://openalex.org/W2912350898","https://openalex.org/W2912530595","https://openalex.org/W2913580266","https://openalex.org/W2918499589","https://openalex.org/W2920633487","https://openalex.org/W2923486253","https://openalex.org/W2940284046","https://openalex.org/W2942900320","https://openalex.org/W2963073614","https://openalex.org/W2963881378","https://openalex.org/W2963908722","https://openalex.org/W2964308596","https://openalex.org/W2970332685","https://openalex.org/W2976255582","https://openalex.org/W2978200937","https://openalex.org/W2980410784","https://openalex.org/W3002057796","https://openalex.org/W3104156061","https://openalex.org/W3106250896","https://openalex.org/W3124942917","https://openalex.org/W4243129671","https://openalex.org/W6659432130"],"related_works":["https://openalex.org/W2136359393","https://openalex.org/W3125779006","https://openalex.org/W4383558899","https://openalex.org/W1942697116","https://openalex.org/W4383558898","https://openalex.org/W4285299496","https://openalex.org/W1968995150","https://openalex.org/W3197673523","https://openalex.org/W3047746737","https://openalex.org/W4287691568"],"abstract_inverted_index":{"With":[0],"the":[1,18,28,62,107,123,133,144,153],"advancement":[2],"of":[3,20,65,128],"machine":[4],"learning":[5,9],"(ML)":[6],"and":[7,31,49,87,99,116,138],"deep":[8],"(DL),":[10],"there":[11],"is":[12,156],"a":[13,74],"great":[14],"opportunity":[15],"to":[16,43,60,95],"enhance":[17],"development":[19],"automatic":[21],"crack":[22,38,57,68,80,164],"detection":[23,39,58,165],"algorithms.":[24],"In":[25],"this":[26],"paper,":[27],"authors":[29,52,71],"organize":[30],"provide":[32],"up-to-date":[33],"information":[34],"on":[35,36,77,106,143],"ML-based":[37,56,79,163],"algorithms":[40],"for":[41,102,132],"researchers":[42],"more":[44],"efficiently":[45],"seek":[46],"potential":[47,100],"focus":[48],"direction.":[50],"The":[51,70],"first":[53],"reviewed":[54],"68":[55],"methods":[59],"identify":[61,96],"current":[63],"trend":[64],"development,":[66],"pixel-level":[67],"segmentation.":[69],"then":[72],"conducted":[73],"performance":[75],"evaluation":[76,85],"8":[78],"segmentation":[81],"models":[82,115],"using":[83],"consistent":[84],"metrics":[86],"three-dimensional":[88],"(3D)":[89],"pavement":[90,129],"images":[91],"with":[92],"diverse":[93],"conditions":[94],"remaining":[97],"challenges":[98],"directions":[101],"future":[103],"development.":[104],"Based":[105],"comparison":[108],"results,":[109],"deeper":[110],"backbone":[111],"networks":[112],"in":[113,119,160],"FCN":[114,137],"skip":[117],"connections":[118],"U-Net":[120,139],"both":[121],"improved":[122],"performance.":[124],"Within":[125],"different":[126],"categories":[127],"images,":[130],"except":[131],"Other":[134],"Distress":[135],"category,":[136],"scored":[140],"over":[141],"90":[142],"enhanced":[145],"Hausdorff":[146],"distance":[147],"metric.":[148],"Results":[149],"showed":[150],"that":[151],"solving":[152],"false-positive":[154],"problem":[155],"an":[157],"important":[158],"step":[159],"further":[161],"improving":[162],"models.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":95},{"year":2024,"cited_by_count":107},{"year":2023,"cited_by_count":78},{"year":2022,"cited_by_count":66},{"year":2021,"cited_by_count":24},{"year":2020,"cited_by_count":4}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}