{"id":"https://openalex.org/W4414862201","doi":"https://doi.org/10.3390/jimaging11100345","title":"DBA-YOLO: A Dense Target Detection Model Based on Lightweight Neural Networks","display_name":"DBA-YOLO: A Dense Target Detection Model Based on Lightweight Neural Networks","publication_year":2025,"publication_date":"2025-10-04","ids":{"openalex":"https://openalex.org/W4414862201","doi":"https://doi.org/10.3390/jimaging11100345","pmid":"https://pubmed.ncbi.nlm.nih.gov/41150021"},"language":"en","primary_location":{"id":"doi:10.3390/jimaging11100345","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11100345","pdf_url":null,"source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/jimaging11100345","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113959977","display_name":"HE Zhi-yong","orcid":null},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]},{"id":"https://openalex.org/I3130607311","display_name":"Changsha Normal University","ror":"https://ror.org/02sqk3z62","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130607311"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyong He","raw_affiliation_strings":["College of Information Science and Engineering, Hunan Normal University, Changsha 410000, China"],"raw_orcid":"https://orcid.org/0009-0008-6238-9302","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan Normal University, Changsha 410000, China","institution_ids":["https://openalex.org/I3130607311","https://openalex.org/I173759888"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005411959","display_name":"Jiahong Yang","orcid":"https://orcid.org/0000-0003-2306-0156"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]},{"id":"https://openalex.org/I3130607311","display_name":"Changsha Normal University","ror":"https://ror.org/02sqk3z62","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130607311"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahong Yang","raw_affiliation_strings":["College of Information Science and Engineering, Hunan Normal University, Changsha 410000, China"],"raw_orcid":"https://orcid.org/0000-0003-2306-0156","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan Normal University, Changsha 410000, China","institution_ids":["https://openalex.org/I3130607311","https://openalex.org/I173759888"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090351661","display_name":"Haoxuan Ning","orcid":null},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]},{"id":"https://openalex.org/I3130607311","display_name":"Changsha Normal University","ror":"https://ror.org/02sqk3z62","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130607311"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongtian Ning","raw_affiliation_strings":["College of Information Science and Engineering, Hunan Normal University, Changsha 410000, China"],"raw_orcid":"https://orcid.org/0009-0007-3967-6242","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan Normal University, Changsha 410000, China","institution_ids":["https://openalex.org/I3130607311","https://openalex.org/I173759888"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chengxuan Li","orcid":"https://orcid.org/0009-0002-3607-9841"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]},{"id":"https://openalex.org/I3130607311","display_name":"Changsha Normal University","ror":"https://ror.org/02sqk3z62","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130607311"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengxuan Li","raw_affiliation_strings":["College of Information Science and Engineering, Hunan Normal University, Changsha 410000, China"],"raw_orcid":"https://orcid.org/0009-0002-3607-9841","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan Normal University, Changsha 410000, China","institution_ids":["https://openalex.org/I3130607311","https://openalex.org/I173759888"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082291706","display_name":"Qiang Tang","orcid":"https://orcid.org/0000-0001-5712-589X"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiang Tang","raw_affiliation_strings":["College of Engineering and Design, Hunan Normal University, Changsha 410000, China"],"raw_orcid":"https://orcid.org/0000-0001-5712-589X","affiliations":[{"raw_affiliation_string":"College of Engineering and Design, Hunan Normal University, Changsha 410000, China","institution_ids":["https://openalex.org/I173759888"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5082291706"],"corresponding_institution_ids":["https://openalex.org/I173759888"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":0.9071,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.79115404,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"11","issue":"10","first_page":"345","last_page":"345"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9970999956130981,"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":0.9970999956130981,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9850999712944031,"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/computational-complexity-theory","display_name":"Computational complexity theory","score":0.578499972820282},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5608000159263611},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.557699978351593},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5066999793052673},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4894999861717224},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.48010000586509705},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4562999904155731},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4404999911785126}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8751999735832214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.589900016784668},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.578499972820282},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5608000159263611},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.557699978351593},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5066999793052673},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4894999861717224},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.48010000586509705},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4562999904155731},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4404999911785126},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3785000145435333},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.37220001220703125},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3497999906539917},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.335999995470047},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.3357999920845032},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.32659998536109924},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.32359999418258667},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3091000020503998},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.30300000309944153},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.2946000099182129},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.2851000130176544},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.28459998965263367},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.28380000591278076},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.27379998564720154},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2590000033378601}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/jimaging11100345","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11100345","pdf_url":null,"source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},{"id":"pmid:41150021","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41150021","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of imaging","raw_type":null},{"id":"pmh:oai:doaj.org/article:94fa0441dd26416d8f1837837fe28352","is_oa":true,"landing_page_url":"https://doaj.org/article/94fa0441dd26416d8f1837837fe28352","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":"Journal of Imaging, Vol 11, Iss 10, p 345 (2025)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:11372285","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12565295","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/jimaging11100345","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11100345","pdf_url":null,"source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2062118960","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2883780447","https://openalex.org/W2963037989","https://openalex.org/W2963163009","https://openalex.org/W2963351448","https://openalex.org/W2963857746","https://openalex.org/W2971900262","https://openalex.org/W2997747012","https://openalex.org/W3034307881","https://openalex.org/W3034971973","https://openalex.org/W3035323039","https://openalex.org/W3035414587","https://openalex.org/W3096609285","https://openalex.org/W3097853396","https://openalex.org/W3138958001","https://openalex.org/W3159196909","https://openalex.org/W3171162369","https://openalex.org/W3171660447","https://openalex.org/W3193848205","https://openalex.org/W3205100603","https://openalex.org/W4205126619","https://openalex.org/W4210916375","https://openalex.org/W4312823573","https://openalex.org/W4380905880","https://openalex.org/W4385805030","https://openalex.org/W4386076325","https://openalex.org/W4386083115","https://openalex.org/W4386976814","https://openalex.org/W4387211168","https://openalex.org/W4390629764","https://openalex.org/W4390670543","https://openalex.org/W4390848649","https://openalex.org/W4391307079","https://openalex.org/W4393308750","https://openalex.org/W4394863002","https://openalex.org/W4396545724","https://openalex.org/W4396552855","https://openalex.org/W4396855832","https://openalex.org/W4398756379","https://openalex.org/W4398810114","https://openalex.org/W4401105998","https://openalex.org/W4402221895","https://openalex.org/W4403770406","https://openalex.org/W4405994530","https://openalex.org/W4407585066","https://openalex.org/W4410616160","https://openalex.org/W4413147183"],"related_works":[],"abstract_inverted_index":{"Current":[0],"deep":[1],"learning-based":[2],"dense":[3,29],"target":[4,91],"detection":[5,131],"models":[6],"face":[7],"dual":[8],"challenges":[9],"in":[10],"industrial":[11],"scenarios:":[12],"high":[13,32,66],"computational":[14,56],"complexity":[15,57],"leading":[16],"to":[17,88],"insufficient":[18],"inference":[19],"efficiency":[20,152],"on":[21,51,121],"mobile":[22],"devices,":[23],"and":[24,35,61,93,101,123,139,153],"missed/false":[25],"detections":[26],"caused":[27],"by":[28,149],"small":[30,90],"targets,":[31],"inter-class":[33],"similarity,":[34],"complex":[36],"background":[37],"interference.":[38],"To":[39,108],"address":[40],"these":[41],"issues,":[42],"this":[43],"paper":[44],"proposes":[45],"DBA-YOLO,":[46,110],"a":[47,74,83,95,113],"lightweight":[48],"model":[49,59,146],"based":[50],"YOLOv10,":[52],"which":[53],"significantly":[54],"reduces":[55,147],"through":[58],"compression":[60],"algorithm":[62],"optimization":[63],"while":[64],"maintaining":[65],"accuracy.":[67],"Key":[68],"improvements":[69,141],"include":[70],"the":[71,145],"following:":[72],"(1)":[73],"C2f":[75],"PA":[76],"module":[77,97],"for":[78,104,155],"enhanced":[79],"feature":[80,106],"extraction,":[81],"(2)":[82],"parameter-refined":[84],"BIMAFPN":[85],"neck":[86],"structure":[87],"improve":[89],"detection,":[92],"(3)":[94],"DyDHead":[96],"integrating":[98],"scale,":[99],"space,":[100],"task":[102],"awareness":[103],"spatial":[105],"weighting.":[107],"validate":[109],"we":[111],"constructed":[112],"real-world":[114],"dataset":[115,125],"from":[116],"cigarette":[117],"package":[118],"images.":[119],"Experiments":[120],"SKU-110K":[122],"our":[124],"show":[126],"that":[127],"DBA-YOLO":[128],"achieves":[129],"91.3%":[130],"accuracy":[132],"(1.4%":[133],"higher":[134],"than":[135],"baseline),":[136],"with":[137],"mAP":[138],"mAP75":[140],"of":[142],"2-3%.":[143],"Additionally,":[144],"parameters":[148],"3.6%,":[150],"balancing":[151],"performance":[154],"resource-constrained":[156],"devices.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}