{"id":"https://openalex.org/W4415743999","doi":"https://doi.org/10.1109/qrs-c65679.2025.00050","title":"YOLOE-Based Semantic Segmentation Framework with VAM and DVCL for Enhanced Monitoring Accuracy in Highway Collapse Detection","display_name":"YOLOE-Based Semantic Segmentation Framework with VAM and DVCL for Enhanced Monitoring Accuracy in Highway Collapse Detection","publication_year":2025,"publication_date":"2025-07-16","ids":{"openalex":"https://openalex.org/W4415743999","doi":"https://doi.org/10.1109/qrs-c65679.2025.00050"},"language":null,"primary_location":{"id":"doi:10.1109/qrs-c65679.2025.00050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qrs-c65679.2025.00050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 25th International Conference on Software Quality, Reliability, and Security Companion (QRS-C)","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/A5100409452","display_name":"Qiang Liu","orcid":"https://orcid.org/0000-0002-0965-9309"},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiang Liu","raw_affiliation_strings":["Hunan University of Technology,School of Computer and Artificial Intelligence,Zhuzhou,China,412007"],"affiliations":[{"raw_affiliation_string":"Hunan University of Technology,School of Computer and Artificial Intelligence,Zhuzhou,China,412007","institution_ids":["https://openalex.org/I49934816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069678275","display_name":"Xiao Han","orcid":"https://orcid.org/0000-0002-4488-5993"},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaonuo Han","raw_affiliation_strings":["Hunan University of Technology,School of Computer and Artificial Intelligence,Zhuzhou,China,412007"],"affiliations":[{"raw_affiliation_string":"Hunan University of Technology,School of Computer and Artificial Intelligence,Zhuzhou,China,412007","institution_ids":["https://openalex.org/I49934816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089592676","display_name":"Xinpan Yuan","orcid":"https://orcid.org/0000-0001-9509-0755"},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinpan Yuan","raw_affiliation_strings":["Hunan University of Technology,School of Computer and Artificial Intelligence,Zhuzhou,China,412007"],"affiliations":[{"raw_affiliation_string":"Hunan University of Technology,School of Computer and Artificial Intelligence,Zhuzhou,China,412007","institution_ids":["https://openalex.org/I49934816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038781609","display_name":"Liujie Hua","orcid":"https://orcid.org/0000-0002-2756-1540"},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liujie Hua","raw_affiliation_strings":["Hunan University of Technology,School of Computer and Artificial Intelligence,Zhuzhou,China,412007"],"affiliations":[{"raw_affiliation_string":"Hunan University of Technology,School of Computer and Artificial Intelligence,Zhuzhou,China,412007","institution_ids":["https://openalex.org/I49934816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100854669","display_name":"Xianchao Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianchao Zhou","raw_affiliation_strings":["Hunan University of Technology,School of Computer and Artificial Intelligence,Zhuzhou,China,412007"],"affiliations":[{"raw_affiliation_string":"Hunan University of Technology,School of Computer and Artificial Intelligence,Zhuzhou,China,412007","institution_ids":["https://openalex.org/I49934816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100409452"],"corresponding_institution_ids":["https://openalex.org/I49934816"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32685886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"343","last_page":"351"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.6988000273704529,"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":0.6988000273704529,"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/T10535","display_name":"Landslides and related hazards","score":0.10260000079870224,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10161","display_name":"Rock Mechanics and Modeling","score":0.02930000051856041,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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":0.6807000041007996},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6273000240325928},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4505000114440918},{"id":"https://openalex.org/keywords/sinkhole","display_name":"Sinkhole","score":0.43459999561309814},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4106000065803528},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.3982999920845032},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.39410001039505005},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.3734000027179718}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7006999850273132},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6807000041007996},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6549999713897705},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6273000240325928},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47839999198913574},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4505000114440918},{"id":"https://openalex.org/C49223487","wikidata":"https://www.wikidata.org/wiki/Q188734","display_name":"Sinkhole","level":3,"score":0.43459999561309814},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4106000065803528},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3982999920845032},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.39410001039505005},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.3734000027179718},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.3531000018119812},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3407000005245209},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.33009999990463257},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.321399986743927},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.3061000108718872},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.29429998993873596},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.2922999858856201},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.2888000011444092},{"id":"https://openalex.org/C2776825360","wikidata":"https://www.wikidata.org/wiki/Q1411921","display_name":"Vagueness","level":3,"score":0.2849999964237213},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.27959999442100525},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2696000039577484},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.25859999656677246}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/qrs-c65679.2025.00050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qrs-c65679.2025.00050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 25th International Conference on Software Quality, Reliability, and Security Companion (QRS-C)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311213","display_name":"Education Department of Hunan Province","ror":"https://ror.org/05ckg3w11"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1773149199","https://openalex.org/W2148157540","https://openalex.org/W3125010089","https://openalex.org/W3216939881","https://openalex.org/W4286905173","https://openalex.org/W4292787455","https://openalex.org/W4293688670","https://openalex.org/W4389257993","https://openalex.org/W4390638513","https://openalex.org/W4402026277","https://openalex.org/W4403759910","https://openalex.org/W4405941807","https://openalex.org/W4408833546","https://openalex.org/W4415537998"],"related_works":[],"abstract_inverted_index":{"Aiming":[0],"at":[1,85],"the":[2,50,73,153,169,184,191,199],"significant":[3],"visual":[4,32,39,136],"feature":[5,40,74,127,137],"differences":[6],"between":[7,43,139],"highway":[8,162,185],"collapse":[9,48,86,123,214],"areas":[10],"and":[11,47,144,165,220],"intact":[12,111],"road":[13,45,94,112],"surfaces,":[14],"which":[15],"are":[16],"prone":[17],"to":[18,80,117],"environmental":[19],"interference,":[20],"this":[21],"study":[22],"proposes":[23],"an":[24],"improved":[25],"YOLOE":[26],"semantic":[27],"segmentation":[28,51,181],"model":[29],"based":[30],"on":[31,159,168,183,190],"relationship":[33,58],"contrast.":[34],"By":[35],"establishing":[36],"a":[37,175,204],"multi-scale":[38],"contrast":[41],"mechanism":[42],"usable":[44],"surfaces":[46,95,113],"regions,":[49],"task":[52],"is":[53,70,108],"innovatively":[54],"transformed":[55],"into":[56],"dynamic":[57],"modeling":[59],"of":[60,92,208],"two-class":[61],"regions:":[62],"1)":[63],"A":[64,101],"Visual":[65,103],"Antagonistic":[66],"Mask":[67],"(VAM)":[68],"module":[69],"designed":[71],"in":[72,125],"extraction":[75],"stage,":[76],"employing":[77],"deformable":[78],"convolution":[79],"capture":[81],"local":[82],"distortion":[83],"features":[84],"edges":[87],"while":[88],"maintaining":[89],"structural":[90],"consistency":[91],"normal":[93],"through":[96],"regional":[97],"similarity":[98],"constraints.":[99],"2)":[100],"Dual-branch":[102],"Contrastive":[104],"Learning":[105],"(DVCL)":[106],"framework":[107,130],"proposed,":[109],"utilizing":[110],"as":[114],"reference":[115],"templates":[116],"construct":[118],"anomaly":[119],"response":[120],"maps":[121],"for":[122],"regions":[124],"latent":[126],"space.":[128],"This":[129],"achieves":[131,156],"precise":[132],"classification":[133],"by":[134],"maximizing":[135],"discrepancies":[138],"positive":[140],"samples":[141,146],"(collapsed":[142],"regions)":[143],"negative":[145],"(intact":[147],"regions).":[148],"Experimental":[149],"results":[150],"demonstrate":[151],"that":[152],"proposed":[154],"method":[155],"89.2%":[157],"mIoU":[158,167],"our":[160],"self-built":[161],"disaster":[163],"dataset":[164,172,193],"82.6%":[166],"public":[170],"sinkhole":[171,192],"benchmark,":[173],"showing":[174],"6.0%":[176],"improvement":[177],"over":[178],"traditional":[179],"single-region":[180],"methods":[182],"dataset.":[186],"The":[187],"corresponding":[188],"result":[189],"Computer":[194],"Vision":[195],"Project":[196],"further":[197],"validates":[198],"model\u2019s":[200],"generalization":[201],"capability,":[202],"with":[203],"per-frame":[205],"inference":[206],"time":[207],"only":[209],"25ms.":[210],"It":[211],"effectively":[212],"addresses":[213],"recognition":[215],"demands":[216],"under":[217],"complex":[218],"lighting":[219],"occluded":[221],"scenarios.":[222]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-31T00:00:00"}