{"id":"https://openalex.org/W4391093906","doi":"https://doi.org/10.1109/iciscae59047.2023.10392332","title":"An optimized Yolov5s approach and its application to image detection problems","display_name":"An optimized Yolov5s approach and its application to image detection problems","publication_year":2023,"publication_date":"2023-09-23","ids":{"openalex":"https://openalex.org/W4391093906","doi":"https://doi.org/10.1109/iciscae59047.2023.10392332"},"language":"en","primary_location":{"id":"doi:10.1109/iciscae59047.2023.10392332","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iciscae59047.2023.10392332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 6th International Conference on Information Systems and Computer Aided Education (ICISCAE)","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/A5112538461","display_name":"Jiayu Song","orcid":null},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiayu Song","raw_affiliation_strings":["Jiangsu University,School of Computer Science and Communication Engineering,Zhenjiang,China","School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu University,School of Computer Science and Communication Engineering,Zhenjiang,China","institution_ids":["https://openalex.org/I115592961"]},{"raw_affiliation_string":"School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020793658","display_name":"Zhiquan Zhu","orcid":null},"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":"Zhiquan Zhu","raw_affiliation_strings":["Southwest Jiaotong University,School of Computing and Artificial Intelligence,Chengdu,China","School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University,School of Computing and Artificial Intelligence,Chengdu,China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113101444","display_name":"Yufei Qiang","orcid":null},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufei Qiang","raw_affiliation_strings":["Nanjing University of Information Science and Technology,School of Computer Science,Nanjing,China","School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Information Science and Technology,School of Computer Science,Nanjing,China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112538461"],"corresponding_institution_ids":["https://openalex.org/I115592961"],"apc_list":null,"apc_paid":null,"fwci":0.1259,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45869952,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1113","last_page":"1118"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9991999864578247,"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":0.9991999864578247,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.98580002784729,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7606732249259949},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.7027255296707153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.678527295589447},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.559394896030426},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5332821011543274},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5201047658920288},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4935849905014038},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49235761165618896},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4908085763454437},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4800761342048645},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4378434419631958},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39702051877975464},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.390411376953125},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33133482933044434}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7606732249259949},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.7027255296707153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.678527295589447},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.559394896030426},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5332821011543274},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5201047658920288},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4935849905014038},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49235761165618896},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4908085763454437},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4800761342048645},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4378434419631958},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39702051877975464},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.390411376953125},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33133482933044434},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iciscae59047.2023.10392332","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iciscae59047.2023.10392332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 6th International Conference on Information Systems and Computer Aided Education (ICISCAE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2193145675","https://openalex.org/W2526468814","https://openalex.org/W2904973712","https://openalex.org/W2962834855","https://openalex.org/W3017377715","https://openalex.org/W3018757597","https://openalex.org/W3104340075","https://openalex.org/W3106250896","https://openalex.org/W3118459932","https://openalex.org/W3122173535","https://openalex.org/W3162804781","https://openalex.org/W3195537687","https://openalex.org/W3210586215","https://openalex.org/W4226471664","https://openalex.org/W4324137535","https://openalex.org/W4327566664","https://openalex.org/W4383315450","https://openalex.org/W6881421721"],"related_works":["https://openalex.org/W2992701057","https://openalex.org/W2135396414","https://openalex.org/W2084568304","https://openalex.org/W2092051980","https://openalex.org/W1556080019","https://openalex.org/W4224288641","https://openalex.org/W4382450485","https://openalex.org/W4205448459","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Traditional":[0],"object":[1],"detection":[2],"algorithms":[3],"cannot":[4],"cope":[5],"with":[6,103],"motion":[7,68,159],"blur":[8],"and":[9,42,47,97,165],"have":[10],"poor":[11],"classification":[12,26,48,80,132],"accuracy":[13,49,133,164],"for":[14],"small":[15],"cluster":[16],"targets,":[17],"which":[18],"poses":[19],"challenges":[20],"to":[21,30,66,77,91,107,144],"the":[22,44,51,55,60,71,79,85,93,98,104,112,124,131,135,163,168],"development":[23],"of":[24,50,81,118,123,134,167],"image":[25],"technology.":[27],"In":[28],"order":[29],"address":[31],"these":[32],"issues,":[33],"this":[34],"paper":[35],"adopts":[36],"a":[37,121],"multi-strategy":[38],"integrated":[39],"optimization":[40],"framework":[41],"optimizes":[43],"training":[45,109,119],"speed":[46],"model":[52,114],"based":[53],"on":[54,120],"YOLOv5s":[56,147],"network":[57],"model.":[58,169],"Firstly,":[59],"CBAM":[61],"attention":[62],"mechanism":[63],"is":[64,75,89,101],"introduced":[65],"mitigate":[67],"blur.":[69],"Then,":[70],"Focal-EIoU":[72],"loss":[73],"function":[74,88],"used":[76],"enhance":[78,92],"low-accuracy":[82],"objects.":[83],"Next,":[84],"SiLU":[86],"activation":[87],"employed":[90],"model's":[94],"representation":[95],"capability,":[96],"SGD":[99],"optimizer":[100,106],"replaced":[102],"Adam":[105],"improve":[108],"efficiency.":[110],"Finally,":[111],"improved":[113],"underwent":[115],"500":[116],"rounds":[117],"subset":[122],"BDD100K":[125],"dataset.":[126],"The":[127,146],"results":[128],"show":[129],"that":[130],"model,":[136,148],"after":[137],"multiple":[138,151],"strategy":[139],"optimizations,":[140],"increased":[141],"from":[142],"46.5%":[143],"74.7%.":[145],"optimized":[149],"by":[150],"strategies,":[152],"can":[153],"effectively":[154],"solve":[155],"problems":[156],"such":[157],"as":[158],"blur,":[160],"thereby":[161],"improving":[162],"stability":[166]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}