{"id":"https://openalex.org/W4388280095","doi":"https://doi.org/10.1109/icbase59196.2023.10303085","title":"A Semantic Segmentation Method of Front-View Pavement Distress Based on SegFormer","display_name":"A Semantic Segmentation Method of Front-View Pavement Distress Based on SegFormer","publication_year":2023,"publication_date":"2023-08-25","ids":{"openalex":"https://openalex.org/W4388280095","doi":"https://doi.org/10.1109/icbase59196.2023.10303085"},"language":"en","primary_location":{"id":"doi:10.1109/icbase59196.2023.10303085","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icbase59196.2023.10303085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE)","raw_type":"proceedings-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/A5109685965","display_name":"Yuanji Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuanji Yang","raw_affiliation_strings":["Southwest University,The College of Artificial Intelligence,Beibei,China,400700"],"affiliations":[{"raw_affiliation_string":"Southwest University,The College of Artificial Intelligence,Beibei,China,400700","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100585234","display_name":"Zhipeng Ning","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhipeng Ning","raw_affiliation_strings":["Southwest University,The College of Artificial Intelligence,Beibei,China,400700"],"affiliations":[{"raw_affiliation_string":"Southwest University,The College of Artificial Intelligence,Beibei,China,400700","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101593027","display_name":"Shenglin Li","orcid":"https://orcid.org/0000-0003-3740-6250"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenglin Li","raw_affiliation_strings":["Southwest University,The College of Artificial Intelligence,Beibei,China,400700"],"affiliations":[{"raw_affiliation_string":"Southwest University,The College of Artificial Intelligence,Beibei,China,400700","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109685965"],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":0.1542,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47128687,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"284","last_page":"288"},"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":0.9983000159263611,"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":0.9672999978065491,"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":0.736897885799408},{"id":"https://openalex.org/keywords/distress","display_name":"Distress","score":0.7327253818511963},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5694164037704468},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5101011395454407},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4988820552825928},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4543229937553406},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43853816390037537},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41212019324302673},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3745942711830139},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09402015805244446},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08310204744338989}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.736897885799408},{"id":"https://openalex.org/C139265228","wikidata":"https://www.wikidata.org/wiki/Q5283089","display_name":"Distress","level":2,"score":0.7327253818511963},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5694164037704468},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5101011395454407},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4988820552825928},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4543229937553406},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43853816390037537},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41212019324302673},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3745942711830139},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09402015805244446},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08310204744338989},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icbase59196.2023.10303085","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icbase59196.2023.10303085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1903029394","https://openalex.org/W1910657905","https://openalex.org/W2511065100","https://openalex.org/W2630837129","https://openalex.org/W2748643398","https://openalex.org/W2912350898","https://openalex.org/W3037773950","https://openalex.org/W3118616679","https://openalex.org/W3131500599","https://openalex.org/W3170841864","https://openalex.org/W4225283831","https://openalex.org/W6637373629","https://openalex.org/W6639780620"],"related_works":["https://openalex.org/W2149537132","https://openalex.org/W2018871932","https://openalex.org/W641279757","https://openalex.org/W370975646","https://openalex.org/W1670566515","https://openalex.org/W4242022592","https://openalex.org/W596972243","https://openalex.org/W4313230280","https://openalex.org/W69751022","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Pavement":[0],"distress":[1,61,72,107,137,147,184],"segmentation":[2,47,58,93,149],"and":[3,34,38,48,94,101,145,156,194],"recognition":[4,95],"is":[5,66],"an":[6],"important":[7],"research":[8,177],"direction":[9],"of":[10,22,30,44,50,59,69,119,124,143,151,158,166,181],"applying":[11],"computer":[12],"vison":[13],"technology":[14],"to":[15,32,85,90,111],"intelligent":[16],"traffic":[17,114],"inspection.":[18],"At":[19],"present,":[20],"most":[21,43],"the":[23,28,39,56,63,78,146,154,159,176,179,192],"existing":[24],"studies":[25],"have":[26,127],"used":[27],"perspective":[29,174],"overlooking":[31],"segment":[33],"detect":[35],"pavement":[36,60,99,106,183],"distress,":[37,100],"types":[40],"are":[41,46],"single,":[42],"them":[45],"identification":[49],"crack":[51],"distress.":[52],"In":[53],"addition,":[54],"for":[55,74,97,175,191],"semantic":[57],"in":[62,153,178,197],"front-view,":[64],"there":[65],"a":[67,103,172],"lack":[68],"public":[70],"multi-type":[71],"datasets":[73,109,117],"experiments.":[75],"Aiming":[76],"at":[77],"above":[79],"situations,":[80],"this":[81,167],"study":[82,168],"uses":[83],"Encoder-Decoder":[84],"build":[86],"SegFormer":[87,139],"network":[88],"structure":[89],"realize":[91],"multi-category":[92],"system":[96],"front-view":[98,105,182],"made":[102],"self-made":[104],"Chongqing":[108,116,160,200],"applicable":[110],"domestic":[112],"road":[113,132],"situation.":[115],"consists":[118],"1015":[120],"images":[121],"with":[122,134],"pixels":[123],"1920x1080,":[125],"which":[126],"been":[128],"collected":[129],"from":[130],"real-word":[131],"sections":[133],"11":[135],"different":[136],"categories.":[138],"has":[140],"achieved":[141],"MIoU":[142],"69.75%":[144],"categories":[148],"accuracy":[150],"97.72%":[152],"training":[155],"testing":[157],"data":[161],"set.":[162],"The":[163],"successful":[164],"application":[165,193],"not":[169],"only":[170],"provides":[171,188],"new":[173],"field":[180],"segmentation,":[185],"but":[186],"also":[187],"strong":[189],"support":[190],"further":[195],"exploration":[196],"related":[198],"fields.":[199],"Dataset":[201],"will":[202],"be":[203],"released":[204],"at:":[205],"https://gitee.com/orangeYJ/chongqing-pavement-dataset":[206]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}