{"id":"https://openalex.org/W4414982618","doi":"https://doi.org/10.1109/tnnls.2025.3617122","title":"MDSF-YOLO: Advancing Object Detection With a Multiscale Dilated Sequence Fusion Network","display_name":"MDSF-YOLO: Advancing Object Detection With a Multiscale Dilated Sequence Fusion Network","publication_year":2025,"publication_date":"2025-10-07","ids":{"openalex":"https://openalex.org/W4414982618","doi":"https://doi.org/10.1109/tnnls.2025.3617122","pmid":"https://pubmed.ncbi.nlm.nih.gov/41056160"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2025.3617122","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3617122","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5069432693","display_name":"Yu Sun","orcid":"https://orcid.org/0000-0001-8414-5159"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Sun","raw_affiliation_strings":["School of Automation and Shandong Key Laboratory of Industrial Control Technology, Qingdao University, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation and Shandong Key Laboratory of Industrial Control Technology, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chong Zhang","orcid":"https://orcid.org/0000-0002-2162-4344"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chong Zhang","raw_affiliation_strings":["Tongyi Lab, Alibaba Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2162-4344","affiliations":[{"raw_affiliation_string":"Tongyi Lab, Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xian Li","orcid":"https://orcid.org/0000-0001-7633-6502"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian Li","raw_affiliation_strings":["School of Automation and Shandong Key Laboratory of Industrial Control Technology, Qingdao University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0001-7633-6502","affiliations":[{"raw_affiliation_string":"School of Automation and Shandong Key Laboratory of Industrial Control Technology, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020149906","display_name":"Xuyang Jing","orcid":"https://orcid.org/0000-0003-2274-0969"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuyang Jing","raw_affiliation_strings":["School of Cyber Engineering, Xidian University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103245455","display_name":"Hui Kong","orcid":"https://orcid.org/0000-0002-0002-1253"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Kong","raw_affiliation_strings":["School of Automation and Shandong Key Laboratory of Industrial Control Technology, Qingdao University, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation and Shandong Key Laboratory of Industrial Control Technology, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100682407","display_name":"Qing\u2010Guo Wang","orcid":"https://orcid.org/0000-0002-3672-3716"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing-Guo Wang","raw_affiliation_strings":["School of Mechanical Engineering, Wuhan University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-3672-3716","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5069432693"],"corresponding_institution_ids":["https://openalex.org/I108688024"],"apc_list":null,"apc_paid":null,"fwci":2.2554,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.90087366,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"37","issue":"3","first_page":"1236","last_page":"1247"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9952999949455261,"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":0.9952999949455261,"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":0.9932000041007996,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.977400004863739,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.7738000154495239},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7677000164985657},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7656000256538391},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5343000292778015},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4948999881744385},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48809999227523804},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.474700003862381},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.44909998774528503}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7950000166893005},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.7738000154495239},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7677000164985657},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7656000256538391},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7232999801635742},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5343000292778015},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4948999881744385},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48809999227523804},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48260000348091125},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.474700003862381},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.44909998774528503},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.40790000557899475},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4007999897003174},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3393000066280365},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.3052999973297119},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28139999508857727},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.2775999903678894},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.27549999952316284},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.273499995470047},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.25110000371932983}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2025.3617122","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3617122","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:41056160","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41056160","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":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1152862572","display_name":null,"funder_award_id":"ZR2021QF038","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G5797492871","display_name":null,"funder_award_id":"62373060","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"and":[1,20,40,81,94,113,122,130,150,160,187,200],"fast":[2],"detection":[3,22,31,61,108,117,203],"of":[4,37,78,136,167,189],"traffic":[5],"signs":[6],"is":[7],"critical":[8],"for":[9,69,110,197],"autonomous":[10,198],"driving,":[11],"particularly":[12],"in":[13,146],"complex":[14],"environments":[15],"with":[16,143],"diverse":[17],"sign":[18],"scales":[19],"varying":[21],"distances.":[23],"Existing":[24],"approaches,":[25],"incorporating":[26],"attention":[27],"modules":[28],"or":[29],"modifying":[30],"heads,":[32,118],"frequently":[33],"encounter":[34],"high":[35],"rates":[36],"false":[38,158],"positives":[39,159],"omissions":[41],"due":[42],"to":[43,97,177],"the":[44,76,128,134,164,170,185,190],"increased":[45],"sampling":[46],"depth.":[47],"To":[48],"address":[49,178],"these":[50],"limitations,":[51],"we":[52],"propose":[53],"MDSF-you":[54],"only":[55],"look":[56],"once":[57],"(YOLO),":[58],"a":[59,106,194],"novel":[60],"framework":[62],"that":[63],"integrates":[64],"multiscale":[65],"sequence":[66],"fusion":[67],"(MSF)":[68],"synergistic":[70],"feature":[71,100],"integration":[72],"across":[73],"granularities,":[74],"enhancing":[75],"precision":[77],"both":[79],"localization":[80,121],"semantic":[82],"information":[83],"fusion.":[84],"Additionally,":[85],"our":[86],"dilated-wise":[87],"residual":[88],"(DWR)":[89],"module":[90],"leverages":[91],"dilated":[92],"convolutions":[93],"channel-wise":[95],"reparameterization":[96],"improve":[98],"fine-grained":[99],"extraction.":[101],"The":[102],"architecture":[103],"further":[104],"introduces":[105],"$P_{2}$":[107],"head":[109],"shallow":[111],"features":[112],"fully":[114],"decouples":[115],"all":[116],"optimizing":[119],"target":[120],"category":[123],"identification.":[124],"Extensive":[125],"experiments":[126],"on":[127,152,169],"TT100K":[129],"CCTSDB2021":[131],"datasets":[132,154],"demonstrate":[133],"superiority":[135],"MDSF-YOLO":[137,168],"over":[138],"benchmark":[139],"models,":[140],"including":[141],"YOLOv11s,":[142],"significant":[144],"improvements":[145],"mAP":[147],"by":[148],"8.8%":[149],"2.4%":[151],"respective":[153],"while":[155],"substantially":[156],"reducing":[157],"leakage":[161],"rate.":[162],"Besides,":[163],"marked":[165],"improvement":[166],"VisDrone2019":[171],"dataset":[172],"verifies":[173],"its":[174],"enhanced":[175],"capability":[176],"drone-based":[179],"object":[180,202],"detection.":[181],"These":[182],"advances":[183],"underscore":[184],"efficiency":[186],"robustness":[188],"proposed":[191],"model,":[192],"providing":[193],"promising":[195],"solution":[196],"driving":[199],"similar":[201],"scenarios.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-25T08:17:42.794288","created_date":"2025-10-10T00:00:00"}
