{"id":"https://openalex.org/W4390204982","doi":"https://doi.org/10.26599/bdma.2022.9020048","title":"Multi-Scale Feature Fusion Model for Bridge Appearance Defect Detection","display_name":"Multi-Scale Feature Fusion Model for Bridge Appearance Defect Detection","publication_year":2023,"publication_date":"2023-12-25","ids":{"openalex":"https://openalex.org/W4390204982","doi":"https://doi.org/10.26599/bdma.2022.9020048"},"language":"en","primary_location":{"id":"doi:10.26599/bdma.2022.9020048","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2022.9020048","pdf_url":"https://ieeexplore.ieee.org/ielx7/8254253/10372994/10372954.pdf","source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654","2097-406X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ieeexplore.ieee.org/ielx7/8254253/10372994/10372954.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061710869","display_name":"Rong Pang","orcid":"https://orcid.org/0009-0003-3124-1448"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]},{"id":"https://openalex.org/I4210107248","display_name":"Merchants Chongqing Communications Research and Design Institute","ror":"https://ror.org/01jvv7h21","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210107248"]},{"id":"https://openalex.org/I4391767677","display_name":"State Key Laboratory of Bridge Engineering Structural Dynamics","ror":"https://ror.org/01ky5n302","country_code":null,"type":"facility","lineage":["https://openalex.org/I4210107248","https://openalex.org/I4391767677"]},{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Pang","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University,Chengdu,China,611756","China Merchants Chongqing Road Engineering Inspection Center Co., Ltd., Chongqing, China","State Key Laboratory of Bridge Engineering Structural Dynamics, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University,Chengdu,China,611756","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"China Merchants Chongqing Road Engineering Inspection Center Co., Ltd., Chongqing, China","institution_ids":["https://openalex.org/I4210107248"]},{"raw_affiliation_string":"State Key Laboratory of Bridge Engineering Structural Dynamics, Chongqing, China","institution_ids":["https://openalex.org/I158842170","https://openalex.org/I4391767677"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068951317","display_name":"Yan Yang","orcid":"https://orcid.org/0000-0002-6134-6094"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Yang","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University,Chengdu,China,611756"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University,Chengdu,China,611756","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034696354","display_name":"Aiguo Huang","orcid":"https://orcid.org/0000-0002-4153-0062"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aiguo Huang","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University,Chengdu,China,611756"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University,Chengdu,China,611756","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100633636","display_name":"Yan Liu","orcid":"https://orcid.org/0000-0001-5565-6814"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Liu","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University,Chengdu,China,611756"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University,Chengdu,China,611756","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090643890","display_name":"Peng Zhang","orcid":"https://orcid.org/0000-0003-2613-910X"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]},{"id":"https://openalex.org/I4210107248","display_name":"Merchants Chongqing Communications Research and Design Institute","ror":"https://ror.org/01jvv7h21","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210107248"]},{"id":"https://openalex.org/I4391767677","display_name":"State Key Laboratory of Bridge Engineering Structural Dynamics","ror":"https://ror.org/01ky5n302","country_code":null,"type":"facility","lineage":["https://openalex.org/I4210107248","https://openalex.org/I4391767677"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhang","raw_affiliation_strings":["China Merchants Chongqing Road Engineering Inspection Center Co., Ltd.,Chongqing,China,400067","State Key Laboratory of Bridge Engineering Structural Dynamics, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Merchants Chongqing Road Engineering Inspection Center Co., Ltd.,Chongqing,China,400067","institution_ids":["https://openalex.org/I4210107248"]},{"raw_affiliation_string":"State Key Laboratory of Bridge Engineering Structural Dynamics, Chongqing, China","institution_ids":["https://openalex.org/I158842170","https://openalex.org/I4391767677"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111100286","display_name":"Guangwu Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]},{"id":"https://openalex.org/I4391767677","display_name":"State Key Laboratory of Bridge Engineering Structural Dynamics","ror":"https://ror.org/01ky5n302","country_code":null,"type":"facility","lineage":["https://openalex.org/I4210107248","https://openalex.org/I4391767677"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangwu Tang","raw_affiliation_strings":["State Key Laboratory of Bridge Engineering Structural Dynamics,Chongqing,China,400067"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Bridge Engineering Structural Dynamics,Chongqing,China,400067","institution_ids":["https://openalex.org/I158842170","https://openalex.org/I4391767677"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.0752,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.91492871,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"7","issue":"1","first_page":"1","last_page":"11"},"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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":0.9728000164031982,"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/computer-science","display_name":"Computer science","score":0.8204489350318909},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7111551761627197},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.7028775215148926},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6460433602333069},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6392294764518738},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5964438915252686},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5586538314819336},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5266932249069214},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4971616566181183},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42406514286994934},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3751065135002136},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17217537760734558}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8204489350318909},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7111551761627197},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.7028775215148926},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6460433602333069},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6392294764518738},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5964438915252686},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5586538314819336},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5266932249069214},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4971616566181183},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42406514286994934},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3751065135002136},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17217537760734558},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.26599/bdma.2022.9020048","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2022.9020048","pdf_url":"https://ieeexplore.ieee.org/ielx7/8254253/10372994/10372954.pdf","source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654","2097-406X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f48274e86c594082bb8cc501d6d41205","is_oa":false,"landing_page_url":"https://doaj.org/article/f48274e86c594082bb8cc501d6d41205","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data Mining and Analytics, Vol 7, Iss 1, Pp 1-11 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.26599/bdma.2022.9020048","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2022.9020048","pdf_url":"https://ieeexplore.ieee.org/ielx7/8254253/10372994/10372954.pdf","source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654","2097-406X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3249808475","display_name":null,"funder_award_id":"61976247","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390204982.pdf","grobid_xml":"https://content.openalex.org/works/W4390204982.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2034656467","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2148849888","https://openalex.org/W2193145675","https://openalex.org/W2565639579","https://openalex.org/W2598457882","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W3073983451","https://openalex.org/W3106250896","https://openalex.org/W3168075440","https://openalex.org/W4210280300","https://openalex.org/W6762718338","https://openalex.org/W6793164127"],"related_works":["https://openalex.org/W2022849497","https://openalex.org/W2810679507","https://openalex.org/W3081299480","https://openalex.org/W2407190427","https://openalex.org/W2907584218","https://openalex.org/W4226493464","https://openalex.org/W2919210741","https://openalex.org/W4312417841","https://openalex.org/W3002446410","https://openalex.org/W3193565141"],"abstract_inverted_index":{"Although":[0],"the":[1,58,70,74,105,115,119,123,183,191,194,200],"Faster":[2,59,124],"Region-based":[3],"Convolutional":[4],"Neural":[5],"Network":[6],"(Faster":[7],"R-CNN)":[8],"model":[9,51,61,126,159],"has":[10],"obvious":[11],"advantages":[12],"in":[13,33,78,84,137,143],"defect":[14,35,111,139,163],"recognition,":[15],"it":[16],"still":[17],"cannot":[18],"overcome":[19],"challenging":[20],"problems,":[21],"such":[22],"as":[23],"time-consuming,":[24],"small":[25,130],"targets,":[26,131],"irregular":[27,132],"shapes,":[28,133],"and":[29,82,87,113,134,148,170,186,204],"strong":[30,135],"noise":[31],"interference":[32],"bridge":[34,53,89,110,138,161,201],"detection.":[36,56],"To":[37],"deal":[38],"with":[39],"these":[40],"issues,":[41],"this":[42,92],"paper":[43,93],"proposes":[44,94],"a":[45,144,153,166,171],"novel":[46,154],"Multi-scale":[47],"Feature":[48],"Fusion":[49],"(MFF)":[50],"for":[52,160],"appearance":[54,162],"disease":[55,202],"First,":[57],"R-CNN":[60,125],"adopts":[62],"Region":[63],"Of":[64],"Interest":[65],"(ROI)":[66],"pooling,":[67],"which":[68,103,141,177],"omits":[69],"edge":[71],"information":[72],"of":[73,109,118,193],"target":[75,120],"area,":[76],"resulting":[77],"some":[79],"missed":[80,106],"detections":[81],"inaccuracies":[83],"both":[85],"detecting":[86],"localizing":[88],"defects.":[90],"Therefore,":[91],"an":[95],"MFF":[96,156],"based":[97],"on":[98,199],"regional":[99],"feature":[100,172],"Aggregation":[101],"(MFF-A),":[102],"reduces":[104],"detection":[107,112,164],"rate":[108],"improves":[114],"positioning":[116],"accuracy":[117],"area.":[121],"Second,":[122],"is":[127,175,197],"insensitive":[128],"to":[129,181],"noises":[136],"detection,":[140],"results":[142],"long":[145],"training":[146,184],"time":[147],"low":[149],"recognition":[150,188],"accuracy.":[151,189],"Accordingly,":[152],"Lightweight":[155],"(namely":[157],"MFF-L)":[158],"using":[165],"lightweight":[167],"network":[168,174],"EfficientNetV2":[169],"pyramid":[173],"proposed,":[176],"fuses":[178],"multi-scale":[179],"features":[180],"shorten":[182],"speed":[185],"improve":[187],"Finally,":[190],"effectiveness":[192],"proposed":[195],"method":[196],"evaluated":[198],"dataset":[203],"public":[205],"computational":[206],"fluid":[207],"dynamic":[208],"dataset.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T08:27:34.040176","created_date":"2025-10-10T00:00:00"}