{"id":"https://openalex.org/W4412149197","doi":"https://doi.org/10.1177/18758967251356858","title":"Deeplab-based Road Crack Segmentation with Attention and Dynamic Convolution","display_name":"Deeplab-based Road Crack Segmentation with Attention and Dynamic Convolution","publication_year":2025,"publication_date":"2025-07-10","ids":{"openalex":"https://openalex.org/W4412149197","doi":"https://doi.org/10.1177/18758967251356858"},"language":"en","primary_location":{"id":"doi:10.1177/18758967251356858","is_oa":false,"landing_page_url":"https://doi.org/10.1177/18758967251356858","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems: Applications in Engineering and Technology","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":null,"display_name":"Xiao Ye","orcid":"https://orcid.org/0009-0007-6113-4992"},"institutions":[{"id":"https://openalex.org/I14116566","display_name":"Wuhan Polytechnic University","ror":"https://ror.org/05w0e5j23","country_code":"CN","type":"education","lineage":["https://openalex.org/I14116566"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Ye","raw_affiliation_strings":["School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan 430023, China"],"raw_orcid":"https://orcid.org/0009-0007-6113-4992","affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan 430023, China","institution_ids":["https://openalex.org/I14116566"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044394722","display_name":"Kaiqiong Sun","orcid":"https://orcid.org/0000-0001-7767-5987"},"institutions":[{"id":"https://openalex.org/I14116566","display_name":"Wuhan Polytechnic University","ror":"https://ror.org/05w0e5j23","country_code":"CN","type":"education","lineage":["https://openalex.org/I14116566"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kaiqiong Sun","raw_affiliation_strings":["School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan 430023, China"],"raw_orcid":"https://orcid.org/0000-0001-7767-5987","affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan 430023, China","institution_ids":["https://openalex.org/I14116566"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jing Liu","orcid":"https://orcid.org/0009-0000-4771-3559"},"institutions":[{"id":"https://openalex.org/I14116566","display_name":"Wuhan Polytechnic University","ror":"https://ror.org/05w0e5j23","country_code":"CN","type":"education","lineage":["https://openalex.org/I14116566"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Liu","raw_affiliation_strings":["School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan 430023, China"],"raw_orcid":"https://orcid.org/0009-0000-4771-3559","affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan 430023, China","institution_ids":["https://openalex.org/I14116566"]}]},{"author_position":"last","author":{"id":null,"display_name":"Kang Zhou","orcid":"https://orcid.org/0009-0003-9307-1974"},"institutions":[{"id":"https://openalex.org/I14116566","display_name":"Wuhan Polytechnic University","ror":"https://ror.org/05w0e5j23","country_code":"CN","type":"education","lineage":["https://openalex.org/I14116566"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang Zhou","raw_affiliation_strings":["School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan 430023, China"],"raw_orcid":"https://orcid.org/0009-0003-9307-1974","affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan 430023, China","institution_ids":["https://openalex.org/I14116566"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5044394722"],"corresponding_institution_ids":["https://openalex.org/I14116566"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15873865,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"49","issue":"3","first_page":"805","last_page":"821"},"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":0.9866999983787537,"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":0.9632999897003174,"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/convolution","display_name":"Convolution (computer science)","score":0.7099402546882629},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.644550085067749},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.595684826374054},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3073742687702179}],"concepts":[{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7099402546882629},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.644550085067749},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.595684826374054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3073742687702179},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/18758967251356858","is_oa":false,"landing_page_url":"https://doi.org/10.1177/18758967251356858","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems: Applications in Engineering and Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W32111384","https://openalex.org/W845365781","https://openalex.org/W2079054397","https://openalex.org/W2412782625","https://openalex.org/W2745396798","https://openalex.org/W2884585870","https://openalex.org/W2899242765","https://openalex.org/W2905163589","https://openalex.org/W2912350898","https://openalex.org/W2963163009","https://openalex.org/W2963881378","https://openalex.org/W2964308596","https://openalex.org/W2964309882","https://openalex.org/W2966746360","https://openalex.org/W2979396152","https://openalex.org/W2990192313","https://openalex.org/W3000110218","https://openalex.org/W3014583121","https://openalex.org/W3148211242","https://openalex.org/W3173780596","https://openalex.org/W3199054352","https://openalex.org/W4220780913","https://openalex.org/W4241071816","https://openalex.org/W4321250372","https://openalex.org/W4324026569","https://openalex.org/W4387221248","https://openalex.org/W4389817453","https://openalex.org/W4390873988"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2890372105"],"abstract_inverted_index":{"The":[0,34,43,66,93],"automatic":[1],"segmentation":[2,18,91],"of":[3,53,72,84,126],"road":[4,11],"cracks":[5],"is":[6,47],"pivotal":[7],"for":[8],"detecting":[9],"engineering":[10],"defects.":[12],"This":[13],"paper":[14],"proposes":[15],"a":[16],"crack":[17],"method":[19,95],"based":[20],"on":[21,60,99],"the":[22,27,82,135],"DeepLabV3+":[23],"model,":[24],"which":[25],"integrates":[26],"attention":[28,35],"mechanism":[29],"and":[30,40,62,79,104,123,130,147,153],"dynamic":[31,44],"snake":[32,45],"convolution.":[33],"module":[36],"enhances":[37],"both":[38],"channel":[39],"spatial":[41],"attention.":[42],"convolution":[46],"employed":[48],"to":[49,58,88],"precisely":[50],"capture":[51],"features":[52],"linear":[54],"structures,":[55],"with":[56],"adaptability":[57],"focus":[59],"elongated":[61],"tortuous":[63],"local":[64],"structures.":[65],"module\u2019s":[67],"design":[68],"ensures":[69],"effective":[70],"preservation":[71],"crucial":[73],"information":[74],"across":[75],"different":[76],"global":[77],"morphologies,":[78],"significantly":[80],"improves":[81],"extraction":[83],"detailed":[85],"features,":[86],"leading":[87],"more":[89],"accurate":[90],"outcomes.":[92],"proposed":[94],"demonstrates":[96],"state-of-the-art":[97],"results":[98],"two":[100],"benchmark":[101],"datasets,":[102],"DeepCrack":[103],"Crack500.":[105],"On":[106,133],"DeepCrack,":[107],"it":[108],"achieves":[109],"an":[110],"accuracy,":[111],"recall,":[112,136],"<mml:math":[113,137],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[114,138],"display=\"inline\"":[115,139],"overflow=\"scroll\">":[116,140],"<mml:msub>":[117,141],"<mml:mi>F</mml:mi>":[118,142],"<mml:mn>1</mml:mn>":[119,143],"</mml:msub>":[120,144],"</mml:math>":[121,145],",":[122,146],"MIoU":[124,148],"scores":[125,149],"94.1%,":[127],"93.6%,":[128],"89.4%,":[129,131,151],"respectively.":[132,155],"Crack500,":[134],"are":[150],"83.9%,":[152],"82.9%,":[154]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
