{"id":"https://openalex.org/W4402223491","doi":"https://doi.org/10.3390/s24175757","title":"Shuffle Attention-Based Pavement-Sealed Crack Distress Detection","display_name":"Shuffle Attention-Based Pavement-Sealed Crack Distress Detection","publication_year":2024,"publication_date":"2024-09-04","ids":{"openalex":"https://openalex.org/W4402223491","doi":"https://doi.org/10.3390/s24175757","pmid":"https://pubmed.ncbi.nlm.nih.gov/39275668"},"language":"en","primary_location":{"id":"doi:10.3390/s24175757","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24175757","pdf_url":"https://www.mdpi.com/1424-8220/24/17/5757/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/17/5757/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006034300","display_name":"Bo Yuan","orcid":"https://orcid.org/0000-0001-7723-4823"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Yuan","raw_affiliation_strings":["School of Data Science and Artificial Intelligence, Chang\u2019an University, Xi\u2019an 710061, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data Science and Artificial Intelligence, Chang\u2019an University, Xi\u2019an 710061, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053577656","display_name":"Zhaoyun Sun","orcid":"https://orcid.org/0000-0003-1326-3566"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhaoyun Sun","raw_affiliation_strings":["School of Information Engineering, Chang\u2019an University, Xi\u2019an 710064, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Chang\u2019an University, Xi\u2019an 710064, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091410266","display_name":"Lili Pei","orcid":"https://orcid.org/0000-0002-1084-8289"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lili Pei","raw_affiliation_strings":["School of Data Science and Artificial Intelligence, Chang\u2019an University, Xi\u2019an 710061, China"],"raw_orcid":"https://orcid.org/0000-0002-1084-8289","affiliations":[{"raw_affiliation_string":"School of Data Science and Artificial Intelligence, Chang\u2019an University, Xi\u2019an 710061, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100317959","display_name":"Wei Li","orcid":"https://orcid.org/0000-0001-5271-8469"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["School of Data Science and Artificial Intelligence, Chang\u2019an University, Xi\u2019an 710061, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data Science and Artificial Intelligence, Chang\u2019an University, Xi\u2019an 710061, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020693041","display_name":"K X Zhao","orcid":"https://orcid.org/0009-0005-6245-2584"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiyue Zhao","raw_affiliation_strings":["School of Information Engineering, Chang\u2019an University, Xi\u2019an 710064, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Chang\u2019an University, Xi\u2019an 710064, China","institution_ids":["https://openalex.org/I25355098"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5053577656"],"corresponding_institution_ids":["https://openalex.org/I25355098"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":1.9118,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.84158374,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"24","issue":"17","first_page":"5757","last_page":"5757"},"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":0.9977999925613403,"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":0.9829999804496765,"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/intersection","display_name":"Intersection (aeronautics)","score":0.727482259273529},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5913969278335571},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5850303173065186},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5570517182350159},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5063625574111938},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.4791516661643982},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47007590532302856},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45389553904533386},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4352891147136688},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.42917001247406006},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3571750521659851},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2691280245780945},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21963143348693848},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13319215178489685}],"concepts":[{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.727482259273529},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5913969278335571},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5850303173065186},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5570517182350159},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5063625574111938},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.4791516661643982},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47007590532302856},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45389553904533386},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4352891147136688},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.42917001247406006},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3571750521659851},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2691280245780945},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21963143348693848},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13319215178489685},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s24175757","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24175757","pdf_url":"https://www.mdpi.com/1424-8220/24/17/5757/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:39275668","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39275668","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11398223","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11398223","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11398223/pdf/sensors-24-05757.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:9836b980128249faba6ca65835985794","is_oa":true,"landing_page_url":"https://doaj.org/article/9836b980128249faba6ca65835985794","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 17, p 5757 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24175757","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24175757","pdf_url":"https://www.mdpi.com/1424-8220/24/17/5757/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402223491.pdf","grobid_xml":"https://content.openalex.org/works/W4402223491.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W2031489346","https://openalex.org/W2037377992","https://openalex.org/W2061850396","https://openalex.org/W2099296360","https://openalex.org/W2969285348","https://openalex.org/W3001456352","https://openalex.org/W3039432969","https://openalex.org/W3126524339","https://openalex.org/W3158773791","https://openalex.org/W3162418282","https://openalex.org/W3167976421","https://openalex.org/W3171093259","https://openalex.org/W3175064897","https://openalex.org/W3185632505","https://openalex.org/W3197676295","https://openalex.org/W3203911595","https://openalex.org/W3205290001","https://openalex.org/W4303578812","https://openalex.org/W4309852497","https://openalex.org/W4360609555","https://openalex.org/W4367047114","https://openalex.org/W4394832697","https://openalex.org/W6800870034"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"To":[0],"enhance":[1],"the":[2,9,19,34,38,42,51,56,59,67,99,108,112,124,142],"detection":[3,24,39,57,84],"of":[4,12,30,71,114,126,148],"pavement-sealed":[5,22,72,95],"cracks":[6,73],"and":[7,41,55,77,118,136,151],"ensure":[8],"long-term":[10],"stability":[11],"pavement":[13],"performance,":[14],"a":[15],"novel":[16],"approach":[17],"called":[18],"shuffle":[20,60],"attention-based":[21],"crack":[23,96],"is":[25,63],"proposed.":[26],"This":[27],"method":[28],"consists":[29],"three":[31],"essential":[32],"components:":[33],"feature":[35,52,88],"extraction":[36,53],"network,":[37],"head,":[40,58],"Wise":[43,100],"Intersection":[44,101],"over":[45,102],"Union":[46,103],"loss":[47,104],"function.":[48],"Within":[49],"both":[50],"network":[54],"attention":[61,79],"module":[62],"integrated":[64],"to":[65,141],"capture":[66],"high-dimensional":[68],"semantic":[69],"information":[70,93],"by":[74],"combining":[75],"spatial":[76],"channel":[78],"in":[80],"parallel.":[81],"The":[82],"two-way":[83],"head":[85],"with":[86,130],"multi-scale":[87],"fusion":[89],"efficiently":[90],"combines":[91],"contextual":[92],"for":[94],"detection.":[97],"Additionally,":[98],"function":[105],"dynamically":[106],"adjusts":[107],"gradient":[109],"gain,":[110],"enhancing":[111],"accuracy":[113],"bounding":[115],"box":[116],"fitting":[117],"coverage":[119],"area.":[120],"Experimental":[121],"results":[122],"highlight":[123],"superiority":[125],"our":[127],"proposed":[128],"method,":[129],"higher":[131],"mAP@0.5":[132],"(98.02%),":[133],"Recall":[134],"(0.9768),":[135],"F1-score":[137],"(0.9680)":[138],"values":[139],"compared":[140],"one-stage":[143],"state-of-the-art":[144],"methods,":[145],"showcasing":[146],"improvements":[147],"0.81%,":[149],"1.8%,":[150],"2.79%,":[152],"respectively.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2024-09-05T00:00:00"}
