{"id":"https://openalex.org/W4404740376","doi":"https://doi.org/10.1109/icbase63199.2024.10762665","title":"Research on small target recognition technology based on YOLOv8","display_name":"Research on small target recognition technology based on YOLOv8","publication_year":2024,"publication_date":"2024-09-20","ids":{"openalex":"https://openalex.org/W4404740376","doi":"https://doi.org/10.1109/icbase63199.2024.10762665"},"language":"en","primary_location":{"id":"doi:10.1109/icbase63199.2024.10762665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icbase63199.2024.10762665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 5th International Conference on Big Data &amp;amp; Artificial Intelligence &amp;amp; Software Engineering (ICBASE)","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/A5079429137","display_name":"Zhaojie Xu","orcid":"https://orcid.org/0000-0003-1478-6115"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhaojie Xu","raw_affiliation_strings":["Xiamen University of Technology,School of Computer and Information Engineering,Xiamen,China"],"affiliations":[{"raw_affiliation_string":"Xiamen University of Technology,School of Computer and Information Engineering,Xiamen,China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071345185","display_name":"Li Liu","orcid":"https://orcid.org/0000-0002-2082-9030"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Liu","raw_affiliation_strings":["Xiamen University of Technology,School of Computer and Information Engineering,Xiamen,China"],"affiliations":[{"raw_affiliation_string":"Xiamen University of Technology,School of Computer and Information Engineering,Xiamen,China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087514766","display_name":"Zemin Chen","orcid":"https://orcid.org/0009-0001-4738-4684"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zemin Chen","raw_affiliation_strings":["Xiamen University of Technology,School of Computer and Information Engineering,Xiamen,China"],"affiliations":[{"raw_affiliation_string":"Xiamen University of Technology,School of Computer and Information Engineering,Xiamen,China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000921410","display_name":"Xiaodong Jin","orcid":"https://orcid.org/0000-0002-4416-1055"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Jin","raw_affiliation_strings":["Shenzhen SD Information Technology Co., Ltd.,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Shenzhen SD Information Technology Co., Ltd.,Shenzhen,China","institution_ids":["https://openalex.org/I158809036"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5079429137"],"corresponding_institution_ids":["https://openalex.org/I75867142"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32776755,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"252","last_page":"256"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.8616999983787537,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.8616999983787537,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T14158","display_name":"Optical Systems and Laser Technology","score":0.828000009059906,"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"}},{"id":"https://openalex.org/T13579","display_name":"Image and Video Stabilization","score":0.7236999869346619,"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":0.562015950679779},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40078508853912354},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3732473850250244}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.562015950679779},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40078508853912354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3732473850250244}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icbase63199.2024.10762665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icbase63199.2024.10762665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 5th International Conference on Big Data &amp;amp; Artificial Intelligence &amp;amp; Software Engineering (ICBASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4300000071525574,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2164598857","https://openalex.org/W2193145675","https://openalex.org/W2963037989","https://openalex.org/W4319789280","https://openalex.org/W4378575119","https://openalex.org/W4385839827","https://openalex.org/W4386838484","https://openalex.org/W6683411478","https://openalex.org/W6742348326","https://openalex.org/W6746085279","https://openalex.org/W6777046832","https://openalex.org/W6787930612","https://openalex.org/W6796325491","https://openalex.org/W6849520326","https://openalex.org/W6851743980","https://openalex.org/W6862843376","https://openalex.org/W6869648836"],"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/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,32,46,80,115,126,159,183],"solve":[3],"the":[4,25,57,75,83,89,107,119,132,137,162],"challenges":[5],"of":[6,131,140],"small":[7,36,64,120],"objects":[8],"in":[9,74],"UAV":[10],"view":[11],"that":[12],"are":[13,67,91],"not":[14,77,102],"easily":[15,68],"recognized,":[16],"complex":[17],"background":[18],"and":[19,34,85,117,157,172,179],"severe":[20],"occlusion,":[21],"we":[22,96,124],"improved":[23,163,190],"on":[24,154,175],"original":[26,133],"YOLOv8s":[27,160],"algorithm,":[28],"enhancing":[29],"it\u2019s":[30],"ability":[31,114],"capture":[33,116],"fuse":[35,82,106,118],"target":[37,65,121,186],"information.":[38,122],"We":[39,151],"introduce":[40],"RFAConv":[41],"structure,":[42],"which":[43,101,135],"enables":[44],"model":[45,76],"better":[47,193],"extract":[48],"feature":[49],"information":[50,87],"at":[51,142],"different":[52,143],"scales":[53,144],"by":[54,145],"adaptively":[55],"adjusting":[56],"sensing":[58],"field.":[59],"Second,":[60],"after":[61],"multiple":[62],"downsampling,":[63],"features":[66,90],"blurred":[69],"or":[70],"even":[71],"lost,":[72],"resulting":[73],"being":[78],"able":[79],"effectively":[81],"shallow":[84],"deep":[86],"when":[88],"fused.":[92],"For":[93],"this":[94],"reason,":[95],"designed":[97],"Omni-Fusion":[98],"FPN":[99],"module,":[100],"only":[103],"can":[104],"fully":[105],"contextual":[108,149],"information,":[109],"but":[110],"also":[111],"improves":[112,165],"Model\u2019s":[113],"Finally,":[123],"use":[125],"Dyhead":[127],"replace":[128],"detection":[129,138,187,194],"head":[130],"model,":[134,161],"enhances":[136],"capability":[139],"targets":[141],"dynamically":[146],"fusing":[147],"multi-level":[148],"details.":[150],"conduct":[152],"experiments":[153],"VisDrone2019":[155],"dataset,":[156],"compared":[158],"algorithm":[164,191],"$1.9":[166],"\\%,":[167],"4.2":[168],"\\%$,":[169,171],"$4.7":[170],"$3.4":[173],"\\%$":[174],"Precision,":[176],"Recall,":[177],"mAP50,":[178],"mAP50-95,":[180],"respectively.":[181],"Compared":[182],"other":[184],"mainstream":[185],"models,":[188],"our":[189],"shows":[192],"performance.":[195]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
