{"id":"https://openalex.org/W4391992491","doi":"https://doi.org/10.1109/access.2024.3368848","title":"LAYN: Lightweight Multi-Scale Attention YOLOv8 Network for Small Object Detection","display_name":"LAYN: Lightweight Multi-Scale Attention YOLOv8 Network for Small Object Detection","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391992491","doi":"https://doi.org/10.1109/access.2024.3368848"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3368848","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3368848","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10443389.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10443389.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109535344","display_name":"Songzhe Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4385474403","display_name":"Changchun University of Technology","ror":"https://ror.org/052pakb34","country_code":null,"type":"education","lineage":["https://openalex.org/I4385474403"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songzhe Ma","raw_affiliation_strings":["School of Computer Science and Engineering, Changchun University of Technology, Changchun, China","Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China","Smart Health Joint Innovation Laboratory for the New Generation of AI, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Changchun University of Technology, Changchun, China","institution_ids":["https://openalex.org/I4385474403"]},{"raw_affiliation_string":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"Smart Health Joint Innovation Laboratory for the New Generation of AI, Changchun, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037226725","display_name":"Huimin Lu","orcid":"https://orcid.org/0000-0002-3786-2363"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4385474403","display_name":"Changchun University of Technology","ror":"https://ror.org/052pakb34","country_code":null,"type":"education","lineage":["https://openalex.org/I4385474403"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huimin Lu","raw_affiliation_strings":["School of Computer Science and Engineering, Changchun University of Technology, Changchun, China","Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China","Smart Health Joint Innovation Laboratory for the New Generation of AI, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0002-3786-2363","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Changchun University of Technology, Changchun, China","institution_ids":["https://openalex.org/I4385474403"]},{"raw_affiliation_string":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"Smart Health Joint Innovation Laboratory for the New Generation of AI, Changchun, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100454075","display_name":"Jie Liu","orcid":"https://orcid.org/0000-0002-1782-2081"},"institutions":[{"id":"https://openalex.org/I4385474403","display_name":"Changchun University of Technology","ror":"https://ror.org/052pakb34","country_code":null,"type":"education","lineage":["https://openalex.org/I4385474403"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Liu","raw_affiliation_strings":["School of Computer Science and Engineering, Changchun University of Technology, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Changchun University of Technology, Changchun, China","institution_ids":["https://openalex.org/I4385474403"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101647838","display_name":"Yungang Zhu","orcid":"https://orcid.org/0000-0002-8305-4092"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yungang Zhu","raw_affiliation_strings":["Key Laboratory of Symbolic Computation and Knowledge Engineering, Ministry of Education, Jilin University, Changchun, China","Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0002-8305-4092","affiliations":[{"raw_affiliation_string":"Key Laboratory of Symbolic Computation and Knowledge Engineering, Ministry of Education, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014051601","display_name":"Pengcheng Sang","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4385474403","display_name":"Changchun University of Technology","ror":"https://ror.org/052pakb34","country_code":null,"type":"education","lineage":["https://openalex.org/I4385474403"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengcheng Sang","raw_affiliation_strings":["School of Computer Science and Engineering, Changchun University of Technology, Changchun, China","Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China","Smart Health Joint Innovation Laboratory for the New Generation of AI, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Changchun University of Technology, Changchun, China","institution_ids":["https://openalex.org/I4385474403"]},{"raw_affiliation_string":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"Smart Health Joint Innovation Laboratory for the New Generation of AI, Changchun, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":14.4362,"has_fulltext":true,"cited_by_count":66,"citation_normalized_percentile":{"value":0.99423901,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"12","issue":null,"first_page":"29294","last_page":"29307"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9915000200271606,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9789000153541565,"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":0.8699624538421631},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.6350213289260864},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5862991809844971},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5838233232498169},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5140001177787781},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5024254322052002},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.48361507058143616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4719361960887909},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45582517981529236},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3923736810684204},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3520795404911041},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2948169410228729},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08680790662765503}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8699624538421631},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6350213289260864},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5862991809844971},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5838233232498169},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5140001177787781},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5024254322052002},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.48361507058143616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4719361960887909},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45582517981529236},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3923736810684204},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3520795404911041},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2948169410228729},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08680790662765503},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3368848","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3368848","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10443389.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:197b9d8709914790a33147bbfac746b9","is_oa":true,"landing_page_url":"https://doaj.org/article/197b9d8709914790a33147bbfac746b9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 29294-29307 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3368848","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3368848","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10443389.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8213913786","display_name":null,"funder_award_id":"93K172022K15","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391992491.pdf","grobid_xml":"https://content.openalex.org/works/W4391992491.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W2031489346","https://openalex.org/W2108598243","https://openalex.org/W2109255472","https://openalex.org/W2341528187","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2737725206","https://openalex.org/W2768489488","https://openalex.org/W2907527313","https://openalex.org/W2963037989","https://openalex.org/W2963420686","https://openalex.org/W2963495494","https://openalex.org/W2963811535","https://openalex.org/W2963857746","https://openalex.org/W2964121718","https://openalex.org/W2982770724","https://openalex.org/W2997408160","https://openalex.org/W3009886659","https://openalex.org/W3013211776","https://openalex.org/W3014408509","https://openalex.org/W3018105153","https://openalex.org/W3018757597","https://openalex.org/W3029960749","https://openalex.org/W3035414587","https://openalex.org/W3101998545","https://openalex.org/W3106753828","https://openalex.org/W3132437036","https://openalex.org/W3179888767","https://openalex.org/W3180134609","https://openalex.org/W3213509149","https://openalex.org/W3214102424","https://openalex.org/W4214841728","https://openalex.org/W4224437480","https://openalex.org/W4226154274","https://openalex.org/W4289752563","https://openalex.org/W4293004185","https://openalex.org/W4293584584","https://openalex.org/W4295123323","https://openalex.org/W4313244825","https://openalex.org/W4322770720","https://openalex.org/W4327785494","https://openalex.org/W4360611865","https://openalex.org/W4379013961","https://openalex.org/W4382568144","https://openalex.org/W4385245566","https://openalex.org/W4385454139","https://openalex.org/W4386076325","https://openalex.org/W4388169104","https://openalex.org/W4388823657","https://openalex.org/W6798838024","https://openalex.org/W6931202655"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W2770234245","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W96612179","https://openalex.org/W4229499248","https://openalex.org/W2761785940"],"abstract_inverted_index":{"Currently,":[0],"with":[1,271],"the":[2,9,18,42,46,67,80,91,117,130,133,145,162,178,192,200,203,225,230,241,247,252,280,290,303],"widespread":[3],"application":[4],"of":[5,12,21,44,82,119,132,148,173,194,211,232,292,305],"embedded":[6,24,50],"technology":[7],"and":[8,30,52,78,161,185,196,245,289,314],"continuous":[10],"improvement":[11,266],"computational":[13],"power":[14],"in":[15,96,177,199,224,267,275,309,317],"mobile":[16],"terminals,":[17],"efficient":[19],"deployment":[20,77,313],"algorithms":[22],"on":[23,49,61,240,251],"devices,":[25],"while":[26,122],"maintaining":[27],"high":[28],"accuracy":[29,81,218,277],"minimizing":[31],"model":[32,68,120,262,293],"size,":[33],"has":[34],"become":[35],"a":[36,54,136,156,264,272],"research":[37],"hotspot.":[38],"This":[39],"paper":[40],"addresses":[41],"challenges":[43],"deploying":[45],"YOLOv8":[47,95],"algorithm":[48,59],"devices":[51],"proposes":[53],"novel":[55],"lightweight":[56,76,100,312],"object":[57,63,84,269,319],"detection":[58,125,226,276,320],"focusing":[60],"small":[62,83,152,175,212,268,318],"detection.":[64,85],"We":[65],"optimize":[66],"through":[69],"two":[70],"key":[71,171],"strategies,":[72],"aiming":[73],"to":[74,98,108,143,279],"achieve":[75,99],"improve":[79,129],"Firstly,":[86],"GhostNet":[87],"is":[88,141,295],"introduced":[89],"as":[90],"backbone":[92],"network":[93,204],"for":[94,151,208],"order":[97],"deployment.":[101],"By":[102],"using":[103],"some":[104],"cost":[105],"effective":[106],"operations":[107],"generate":[109],"redundant":[110],"feature":[111,179],"maps,":[112],"we":[113,236],"not":[114],"only":[115],"reduce":[116],"number":[118,291],"parameters":[121,294],"ensuring":[123],"better":[124],"results,":[126],"but":[127],"also":[128],"speed":[131],"model.":[134],"Secondly,":[135],"new":[137],"multi-scale":[138,157,166],"attention":[139,159,168],"module":[140],"designed":[142],"enhance":[144],"network\u2019s":[146],"acquisition":[147],"crucial":[149],"information":[150,198],"targets,":[153],"which":[154],"includes":[155],"fusion":[158,167],"mechanism":[160,169],"Soft-NMS":[163,215],"algorithm.":[164],"The":[165,214,256],"captures":[170],"features":[172,210],"discriminative":[174],"targets":[176],"map":[180],"tensor":[181],"from":[182],"both":[183,311],"spatial":[184],"channel":[186],"dimensions,":[187],"suppressing":[188],"non-key":[189],"information,":[190],"reducing":[191],"impact":[193],"complex":[195],"unimportant":[197],"image,":[201],"enhancing":[202],"model\u2019s":[205,248],"learning":[206],"ability":[207,250],"important":[209],"targets.":[213],"method":[216,308],"improves":[217],"by":[219,287,297],"significantly":[220],"reduces":[221],"false":[222],"positives":[223],"results.":[227],"To":[228],"validate":[229],"performance":[231],"our":[233,261,306],"proposed":[234],"method,":[235],"conducted":[237],"validation":[238],"experiments":[239,257],"PASCAL":[242],"VOC":[243],"dataset":[244],"evaluated":[246],"generalization":[249],"MS":[253],"COCO":[254],"dataset.":[255],"results":[258,300],"demonstrate":[259],"that":[260],"achieves":[263],"significant":[265,315],"detection,":[270],"5.41%":[273],"increase":[274],"compared":[278],"existing":[281],"YOLOv8.":[282],"Meanwhile,":[283],"FLOPs":[284],"are":[285],"reduced":[286,296],"49.62%,":[288],"48.66%.":[298],"These":[299],"fully":[301],"confirm":[302],"effectiveness":[304],"innovative":[307],"achieving":[310],"efficacy":[316],"tasks.":[321]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":42},{"year":2024,"cited_by_count":15}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}