{"id":"https://openalex.org/W4312944409","doi":"https://doi.org/10.1145/3556384.3556405","title":"Research on visual recognition technology of Damaged navigation mark based on improved Efficientnet","display_name":"Research on visual recognition technology of Damaged navigation mark based on improved Efficientnet","publication_year":2022,"publication_date":"2022-08-04","ids":{"openalex":"https://openalex.org/W4312944409","doi":"https://doi.org/10.1145/3556384.3556405"},"language":"en","primary_location":{"id":"doi:10.1145/3556384.3556405","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3556384.3556405","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 5th International Conference on Signal Processing and Machine Learning","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/A5019069670","display_name":"Haipeng Ge","orcid":"https://orcid.org/0000-0002-5766-492X"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haipeng Ge","raw_affiliation_strings":["Navigation College, Dalian Maritime University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Navigation College, Dalian Maritime University, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002726540","display_name":"Jingfeng Hu","orcid":"https://orcid.org/0000-0002-6609-8552"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingfeng Hu","raw_affiliation_strings":["Navigation College, Dalian Maritime University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Navigation College, Dalian Maritime University, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100439576","display_name":"Cheng Zhang","orcid":"https://orcid.org/0000-0001-5050-1899"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Zhang","raw_affiliation_strings":["Navigation College, Dalian Maritime University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Navigation College, Dalian Maritime University, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063170334","display_name":"Mingyang Pan","orcid":"https://orcid.org/0000-0003-1327-6105"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyang Pan","raw_affiliation_strings":["Navigation College, Dalian Maritime University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Navigation College, Dalian Maritime University, China","institution_ids":["https://openalex.org/I43313876"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I43313876"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13402456,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"132","last_page":"139"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9704999923706055,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9704999923706055,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.949999988079071,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9236999750137329,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6930665373802185},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.673130989074707},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.653498649597168},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.49440598487854004},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48199883103370667},{"id":"https://openalex.org/keywords/navigation-system","display_name":"Navigation system","score":0.47291406989097595},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.43789416551589966},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09423810243606567}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6930665373802185},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.673130989074707},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.653498649597168},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.49440598487854004},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48199883103370667},{"id":"https://openalex.org/C2777891301","wikidata":"https://www.wikidata.org/wiki/Q3475123","display_name":"Navigation system","level":2,"score":0.47291406989097595},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.43789416551589966},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09423810243606567},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3556384.3556405","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3556384.3556405","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 5th International Conference on Signal Processing and Machine Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2097117768","https://openalex.org/W2112796928","https://openalex.org/W2163605009","https://openalex.org/W2384665778","https://openalex.org/W2973455398","https://openalex.org/W3006415409","https://openalex.org/W3088406566","https://openalex.org/W3130813744","https://openalex.org/W3135188703","https://openalex.org/W3174904875","https://openalex.org/W3214287764","https://openalex.org/W4234552385","https://openalex.org/W6725739302"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W3009369890","https://openalex.org/W4312490297","https://openalex.org/W2062212388"],"abstract_inverted_index":{"Recognizing":[0],"the":[1,24,34,39,45,73,82,85,92,119,139],"structural":[2,27,56,67],"states":[3],"of":[4,26,44,66,94,106,113],"different":[5],"navigation":[6,17,29,35,51,69,108,115,130],"marks":[7,18,30,36,52,70,109,116],"from":[8],"camera":[9],"images":[10,105,112],"is":[11,61,77,88],"an":[12,123],"important":[13],"field":[14],"for":[15,63],"efficient":[16],"maintenance.":[19],"This":[20],"paper":[21],"focuses":[22],"on":[23,100],"classification":[25,65],"damaged":[28,68,107,129],"image,":[31],"and":[32,41,110],"uses":[33],"image":[37,53],"in":[38],"middle":[40],"lower":[42],"reaches":[43],"Yangtze":[46],"River":[47],"to":[48,79,90,127],"construct":[49],"a":[50,101,134],"dataset":[54,102],"with":[55,103],"damage.":[57],"An":[58],"improved":[59,74,120],"Efficientnet":[60],"proposed":[62],"processing":[64],"image.":[71],"In":[72],"EfficientNet-b0,":[75],"Fused-MBConv":[76],"used":[78],"speed":[80,137],"up":[81],"training.":[83],"And":[84],"SE":[86],"module":[87],"retained":[89],"improve":[91],"extraction":[93],"subtle":[95],"features.":[96],"Experimental":[97],"results":[98],"based":[99],"7894":[104],"34695":[111],"normal":[114],"show":[117],"that":[118],"EfficientNet-b0":[121],"has":[122],"accuracy":[124],"about":[125],"95%":[126],"classify":[128],"marks,":[131],"which":[132],"had":[133],"faster":[135],"training":[136],"than":[138],"original":[140],"EfficientNet-b0.":[141]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
