{"id":"https://openalex.org/W4220780913","doi":"https://doi.org/10.1109/tits.2022.3158670","title":"DMA-Net: DeepLab With Multi-Scale Attention for Pavement Crack Segmentation","display_name":"DMA-Net: DeepLab With Multi-Scale Attention for Pavement Crack Segmentation","publication_year":2022,"publication_date":"2022-03-24","ids":{"openalex":"https://openalex.org/W4220780913","doi":"https://doi.org/10.1109/tits.2022.3158670"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2022.3158670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3158670","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","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/A5059803316","display_name":"Xinzi Sun","orcid":"https://orcid.org/0000-0002-8890-739X"},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xinzi Sun","raw_affiliation_strings":["Department of Computer Science, University of Massachusetts Lowell, Lowell, MA, USA"],"raw_orcid":"https://orcid.org/0000-0002-8890-739X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Massachusetts Lowell, Lowell, MA, USA","institution_ids":["https://openalex.org/I133738476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016666279","display_name":"Yuanchang Xie","orcid":"https://orcid.org/0000-0002-0139-9362"},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuanchang Xie","raw_affiliation_strings":["Department of Civil &#x0026; Environmental Engineering, University of Massachusetts Lowell, Lowell, MA, USA"],"raw_orcid":"https://orcid.org/0000-0002-0139-9362","affiliations":[{"raw_affiliation_string":"Department of Civil &#x0026; Environmental Engineering, University of Massachusetts Lowell, Lowell, MA, USA","institution_ids":["https://openalex.org/I133738476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081645956","display_name":"Liming Jiang","orcid":"https://orcid.org/0000-0001-8109-5598"},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liming Jiang","raw_affiliation_strings":["Department of Civil &#x0026; Environmental Engineering, University of Massachusetts Lowell, Lowell, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil &#x0026; Environmental Engineering, University of Massachusetts Lowell, Lowell, MA, USA","institution_ids":["https://openalex.org/I133738476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100780032","display_name":"Yu Cao","orcid":"https://orcid.org/0000-0001-8624-1099"},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Cao","raw_affiliation_strings":["Department of Computer Science, University of Massachusetts Lowell, Lowell, MA, USA"],"raw_orcid":"https://orcid.org/0000-0001-8624-1099","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Massachusetts Lowell, Lowell, MA, USA","institution_ids":["https://openalex.org/I133738476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083757533","display_name":"Benyuan Liu","orcid":"https://orcid.org/0000-0001-5879-4702"},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benyuan Liu","raw_affiliation_strings":["Department of Computer Science, University of Massachusetts Lowell, Lowell, MA, USA"],"raw_orcid":"https://orcid.org/0000-0001-5879-4702","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Massachusetts Lowell, Lowell, MA, USA","institution_ids":["https://openalex.org/I133738476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5059803316"],"corresponding_institution_ids":["https://openalex.org/I133738476"],"apc_list":null,"apc_paid":null,"fwci":25.2463,"has_fulltext":false,"cited_by_count":239,"citation_normalized_percentile":{"value":0.99940164,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"23","issue":"10","first_page":"18392","last_page":"18403"},"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":0.9980999827384949,"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":0.9739000201225281,"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":0.6791415214538574},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6683492660522461},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5683638453483582},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4507359564304352},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.44065260887145996},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39070671796798706}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6791415214538574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6683492660522461},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5683638453483582},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4507359564304352},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44065260887145996},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39070671796798706},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2022.3158670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3158670","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.44999998807907104,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320315304","display_name":"Massachusetts Department of Transportation","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W32111384","https://openalex.org/W845365781","https://openalex.org/W1838423138","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2079054397","https://openalex.org/W2108598243","https://openalex.org/W2109255472","https://openalex.org/W2137160061","https://openalex.org/W2194775991","https://openalex.org/W2312405072","https://openalex.org/W2412782625","https://openalex.org/W2511065100","https://openalex.org/W2560023338","https://openalex.org/W2563705555","https://openalex.org/W2598457882","https://openalex.org/W2630837129","https://openalex.org/W2745396798","https://openalex.org/W2773003563","https://openalex.org/W2786174052","https://openalex.org/W2787091153","https://openalex.org/W2902195199","https://openalex.org/W2905163589","https://openalex.org/W2912350898","https://openalex.org/W2955058313","https://openalex.org/W2962926870","https://openalex.org/W2963091558","https://openalex.org/W2963840672","https://openalex.org/W2963881378","https://openalex.org/W2964308596","https://openalex.org/W2964309882","https://openalex.org/W2966746360","https://openalex.org/W2980490246","https://openalex.org/W2997225633","https://openalex.org/W3000106627","https://openalex.org/W3005498204","https://openalex.org/W3008070655","https://openalex.org/W3011200270","https://openalex.org/W3028392891","https://openalex.org/W3036991312","https://openalex.org/W3039785376","https://openalex.org/W3105421998","https://openalex.org/W3115988788","https://openalex.org/W3148211242","https://openalex.org/W4210430456","https://openalex.org/W4210664566","https://openalex.org/W4293584584","https://openalex.org/W4385245566","https://openalex.org/W6601285894","https://openalex.org/W6641093267","https://openalex.org/W6696085341","https://openalex.org/W6739696289","https://openalex.org/W6739901393","https://openalex.org/W6747842307","https://openalex.org/W6750227808","https://openalex.org/W6751733626","https://openalex.org/W6772717437","https://openalex.org/W6778231270"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W3147584709","https://openalex.org/W4389858081","https://openalex.org/W2501551404","https://openalex.org/W4298131179","https://openalex.org/W2977677679","https://openalex.org/W2113201962","https://openalex.org/W4385583601","https://openalex.org/W1992327129","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Cracks":[0],"are":[1,68,75],"important":[2],"indicators":[3],"of":[4,130],"pavement":[5,11,19,59,118,187,214,232],"structural":[6],"and":[7,14,25,28,47,61,74,92,104,137,143,183,203,220],"operational":[8],"conditions.":[9],"Early":[10],"crack":[12,52,86,119,188,215,233],"detection":[13,53],"treatments":[15],"can":[16,158,174],"help":[17,176],"extend":[18],"service":[20],"life,":[21],"reduce":[22],"fuel":[23],"consumption,":[24],"improve":[26],"safety":[27],"ride":[29],"quality.":[30],"Pavement":[31],"distress":[32],"surveys":[33],"have":[34],"traditionally":[35],"been":[36],"performed":[37],"manually":[38],"by":[39,218],"visually":[40],"inspecting":[41],"the":[42,85,99,128,154,171,177,221],"roads,":[43],"which":[44],"is":[45],"labor-intensive":[46],"time-consuming.":[48],"Therefore,":[49],"computer-vision-based":[50],"automated":[51],"has":[54],"great":[55],"practical":[56],"significance":[57],"in":[58,72,127,235],"maintenance":[60],"traffic":[62],"safety.":[63],"Traditional":[64],"image":[65,114],"processing":[66],"techniques":[67],"sensitive":[69],"to":[70,78,84,132,163,230],"noise":[71],"images":[73,216],"thus":[76],"likely":[77],"miss":[79],"detecting":[80],"some":[81],"cracks":[82],"due":[83],"texture":[87],"variety,":[88],"complex":[89],"lighting":[90],"conditions,":[91],"various":[93],"similar":[94],"but":[95],"irrelevant":[96],"objects":[97],"on":[98,197,213],"road.":[100],"This":[101],"paper":[102],"adopts":[103],"enhances":[105],"DeepLabv3+,":[106],"a":[107,123,227],"popular":[108],"deep":[109],"learning":[110],"framework":[111],"for":[112,116],"semantic":[113],"segmentation,":[115],"road":[117,231],"detection.":[120],"We":[121,209],"propose":[122],"multi-scale":[124,181],"attention":[125,135,172],"module":[126],"decoder":[129],"DeepLabv3+":[131],"generate":[133,184],"an":[134],"mask":[136,173],"dynamically":[138],"assign":[139,159],"weights":[140,150,156,162],"between":[141],"high-level":[142],"low-level":[144],"feature":[145,165],"maps.":[146,166],"Compared":[147],"with":[148,237],"fixed":[149],"across":[151],"different":[152,164],"features,":[153],"dynamic":[155],"strategy":[157],"more":[160,185],"reasonable":[161],"Ablation":[167],"experiments":[168],"show":[169,223],"that":[170,224],"effectively":[175],"model":[178],"better":[179],"combine":[180],"features":[182],"accurate":[186],"segmentation":[189,234],"results.":[190],"The":[191],"proposed":[192],"method":[193],"achieves":[194],"state-of-the-art":[195],"results":[196,222],"three":[198],"benchmarks,":[199],"including":[200],"Crack500,":[201],"DeepCrack,":[202],"FMA":[204],"(Fitchburg":[205],"Municipal":[206],"Airport)":[207],"datasets.":[208],"further":[210],"test":[211],"it":[212,225],"captured":[217],"smartphones,":[219],"provides":[226],"viable":[228],"approach":[229],"practice":[236],"excellent":[238],"performance.":[239]},"counts_by_year":[{"year":2026,"cited_by_count":20},{"year":2025,"cited_by_count":89},{"year":2024,"cited_by_count":73},{"year":2023,"cited_by_count":46},{"year":2022,"cited_by_count":11}],"updated_date":"2026-05-15T08:27:34.491423","created_date":"2025-10-10T00:00:00"}
