{"id":"https://openalex.org/W4399773823","doi":"https://doi.org/10.3233/jcm-247145","title":"Optimization of target detection model based on Yolov5 network with small samples","display_name":"Optimization of target detection model based on Yolov5 network with small samples","publication_year":2024,"publication_date":"2024-06-17","ids":{"openalex":"https://openalex.org/W4399773823","doi":"https://doi.org/10.3233/jcm-247145"},"language":"en","primary_location":{"id":"doi:10.3233/jcm-247145","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jcm-247145","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-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/A5101257500","display_name":"Hua Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]},{"id":"https://openalex.org/I3133012915","display_name":"University of the Cordilleras","ror":"https://ror.org/02eg6d927","country_code":"PH","type":"education","lineage":["https://openalex.org/I3133012915"]}],"countries":["CN","PH"],"is_corresponding":false,"raw_author_name":"Hua Sun","raw_affiliation_strings":["School of Mechanical Engineering, Xihua University, Chengdu, Sichuan, China","University of Cordilleras, Baguio, Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xihua University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I102345215"]},{"raw_affiliation_string":"University of Cordilleras, Baguio, Philippines","institution_ids":["https://openalex.org/I3133012915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101381419","display_name":"Kaifeng Su","orcid":null},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaifeng Su","raw_affiliation_strings":["School of Mechanical Engineering, Xihua University, Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xihua University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100629264","display_name":"Y. F. Yang","orcid":"https://orcid.org/0000-0003-4237-5874"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yifan Yang","raw_affiliation_strings":["School of Mechanical Engineering, Xihua University, Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xihua University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I102345215"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100629264"],"corresponding_institution_ids":["https://openalex.org/I102345215"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07629545,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":"3","first_page":"1395","last_page":"1404"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.993399977684021,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.993399977684021,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.6336624622344971},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.408550500869751},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35264015197753906}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6336624622344971},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.408550500869751},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35264015197753906}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jcm-247145","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jcm-247145","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2618530766","https://openalex.org/W2884367402","https://openalex.org/W2886682357","https://openalex.org/W2894604694","https://openalex.org/W2897932084","https://openalex.org/W2922178938","https://openalex.org/W2946644377","https://openalex.org/W2950740535","https://openalex.org/W2963315052","https://openalex.org/W2995077765","https://openalex.org/W3004946915","https://openalex.org/W3044272606","https://openalex.org/W3051326939","https://openalex.org/W3093858584","https://openalex.org/W3161072751","https://openalex.org/W4205124618","https://openalex.org/W4225013368","https://openalex.org/W4225688999","https://openalex.org/W6639461879","https://openalex.org/W6763246925","https://openalex.org/W6781465334"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"As":[0],"an":[1],"important":[2],"part":[3],"of":[4,30,41,91,98,137,162,183,189],"automotive":[5,12],"shock":[6,13,44],"absorber,":[7],"the":[8,21,28,31,39,42,68,89,95,112,118,123,126,132,152,160,172,177,186],"columnar":[9],"parts":[10],"in":[11,75,101],"absorber":[14,45],"will":[15,24],"inevitably":[16],"have":[17],"machining":[18],"defects":[19],"during":[20],"process,":[22],"which":[23,193],"not":[25],"only":[26],"degrade":[27,35],"performance":[29,40],"parts,":[32],"but":[33],"also":[34],"or":[36],"even":[37],"fail":[38],"final":[43],"after":[46],"assembly.":[47],"Yolov5,":[48],"as":[49],"a":[50,76],"target":[51],"detection":[52,163,178],"algorithm,":[53],"has":[54],"received":[55],"much":[56],"attention":[57],"due":[58],"to":[59,87,143],"its":[60],"high":[61,96],"accuracy":[62,164,179],"and":[63,94,109,134,150,180],"fast":[64],"operation":[65,181],"speed.":[66],"However,":[67],"algorithm":[69],"faces":[70],"some":[71],"challenges":[72],"when":[73],"applied":[74],"practical":[77],"industrial":[78,102,198],"environment.":[79],"In":[80],"this":[81],"paper,":[82],"improvement":[83,161],"measures":[84],"are":[85,139],"proposed":[86],"address":[88],"limitations":[90],"sample":[92,167],"collection":[93],"speed":[97,182],"pipeline":[99],"recognition":[100,129,146],"environments.":[103],"The":[104],"network":[105],"model":[106],"is":[107,115,194],"optimized":[108],"designed.":[110],"Firstly,":[111],"ASPP":[113],"module":[114,120],"replaced":[116,140],"by":[117,141],"SPP":[119],"thus":[121],"improving":[122,149],"viewability":[124],"throughout":[125],"process":[127],"providing":[128],"accuracy.":[130,147],"Secondly,":[131],"Conv":[133],"C3":[135],"layers":[136],"Yolov5s":[138,184],"Transformer":[142],"obtain":[144],"higher":[145],"By":[148],"optimizing":[151],"above":[153],"methods,":[154],"we":[155],"can":[156,174],"better":[157],"cope":[158],"with":[159],"under":[165,185],"small":[166],"conditions.":[168],"Experiments":[169],"show":[170],"that":[171],"method":[173],"significantly":[175],"improve":[176],"hardware":[187],"condition":[188],"lower":[190],"computing":[191],"power,":[192],"more":[195],"suitable":[196],"for":[197],"scenario":[199],"application":[200],"scenarios.":[201]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}