{"id":"https://openalex.org/W4406460671","doi":"https://doi.org/10.1109/bigdata62323.2024.10825491","title":"A Set of Effective Strategies for Optimized Road Damage Detection","display_name":"A Set of Effective Strategies for Optimized Road Damage Detection","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406460671","doi":"https://doi.org/10.1109/bigdata62323.2024.10825491"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825491","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825491","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","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/A5005538252","display_name":"Yinglong Du","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yinglong Du","raw_affiliation_strings":["Chinese Academy of Sciences,Foundation Model Research Center, Institute of Automation"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Foundation Model Research Center, Institute of Automation","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112527895","display_name":"Xu Zhao","orcid":"https://orcid.org/0000-0001-5888-8872"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Zhao","raw_affiliation_strings":["Chinese Academy of Sciences,Foundation Model Research Center, Institute of Automation"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Foundation Model Research Center, Institute of Automation","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085054681","display_name":"Bailin He","orcid":"https://orcid.org/0000-0003-3904-1945"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bailin He","raw_affiliation_strings":["Chinese Academy of Sciences,Foundation Model Research Center, Institute of Automation"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Foundation Model Research Center, Institute of Automation","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046222885","display_name":"Bingke Zhu","orcid":"https://orcid.org/0000-0001-6429-1773"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingke Zhu","raw_affiliation_strings":["Chinese Academy of Sciences,Foundation Model Research Center, Institute of Automation"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Foundation Model Research Center, Institute of Automation","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029202082","display_name":"Shuaihua Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuaihua Zhao","raw_affiliation_strings":["Chinese Academy of Sciences,Foundation Model Research Center, Institute of Automation"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Foundation Model Research Center, Institute of Automation","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029271867","display_name":"Guibo Zhu","orcid":"https://orcid.org/0000-0001-8293-3952"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guibo Zhu","raw_affiliation_strings":["Chinese Academy of Sciences,Foundation Model Research Center, Institute of Automation"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Foundation Model Research Center, Institute of Automation","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058420913","display_name":"Jinqiao Wang","orcid":"https://orcid.org/0000-0002-9118-2780"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinqiao Wang","raw_affiliation_strings":["Chinese Academy of Sciences,Foundation Model Research Center, Institute of Automation"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Foundation Model Research Center, Institute of Automation","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5005538252"],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29415296,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8447","last_page":"8452"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9998999834060669,"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":0.9998999834060669,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9944999814033508,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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":0.5802454352378845},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5597888231277466}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5802454352378845},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5597888231277466},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825491","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825491","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.550000011920929}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1821462560","https://openalex.org/W2080191943","https://openalex.org/W2102605133","https://openalex.org/W2963037989","https://openalex.org/W2963173418","https://openalex.org/W2989676862","https://openalex.org/W3034059856","https://openalex.org/W3096609285","https://openalex.org/W3099452838","https://openalex.org/W3124942917","https://openalex.org/W3137017695","https://openalex.org/W3139465810","https://openalex.org/W3161660388","https://openalex.org/W3176659256","https://openalex.org/W3200966602","https://openalex.org/W4312956471","https://openalex.org/W4313119505","https://openalex.org/W4318147831","https://openalex.org/W4320024050","https://openalex.org/W4320024077","https://openalex.org/W4320024091","https://openalex.org/W4385245566","https://openalex.org/W4392544261","https://openalex.org/W4398810114","https://openalex.org/W4400098420","https://openalex.org/W4404612908","https://openalex.org/W4406458849","https://openalex.org/W6739901393","https://openalex.org/W6864029978","https://openalex.org/W6931202655"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"an":[5,79,85],"optimized":[6],"method":[7,43,108],"for":[8,120],"road":[9],"damage":[10],"detection":[11,110],"using":[12],"a":[13,23,96],"lightweight":[14,29],"YOLO":[15],"model":[16,128],"as":[17],"the":[18,64],"baseline.":[19],"Our":[20,42,58],"approach":[21,59],"incorporates":[22],"set":[24],"of":[25,82,88],"effective":[26],"strategies,":[27],"including":[28],"attention":[30],"mechanisms,":[31],"data":[32],"augmentation,":[33],"dynamic":[34],"sampling,":[35],"weight":[36],"averaging,":[37],"and":[38,84,101,112,126],"multi-step":[39],"knowledge":[40],"distillation.":[41],"significantly":[44],"improves":[45],"inference":[46,86],"speed":[47],"while":[48],"maintaining":[49],"high":[50],"accuracy":[51,100,111],"compared":[52],"to":[53],"previous":[54],"mainstream":[55],"ensemble-based":[56],"methods.":[57],"achieves":[60],"notable":[61],"success":[62],"in":[63],"IEEE":[65],"Big":[66],"Data":[67],"2024":[68],"Optimized":[69],"Road":[70],"Damage":[71],"Detection":[72],"Challenge":[73],"(ORDDC\u20192024),":[74],"securing":[75],"second":[76],"place":[77],"with":[78],"F1":[80],"score":[81],"0.7013":[83],"time":[87],"0.0328":[89],"s":[90],"per":[91],"image.":[92],"These":[93],"results":[94],"demonstrate":[95],"strong":[97],"balance":[98],"between":[99],"efficiency.":[102],"Extensive":[103],"experiments":[104],"confirm":[105],"that":[106],"our":[107],"boosts":[109],"greatly":[113],"accelerates":[114],"inference,":[115],"making":[116],"it":[117],"highly":[118],"suitable":[119],"real-world":[121],"applications.":[122],"The":[123],"source":[124],"code":[125],"trained":[127],"are":[129],"available":[130],"at":[131],"https://github.com/YinglongDu/ShiYu_Kunchuan_ORDDC2024.":[132]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}