{"id":"https://openalex.org/W4408348765","doi":"https://doi.org/10.1109/access.2025.3548151","title":"SwinVision: Detecting Small Objects in Low-Light Environments","display_name":"SwinVision: Detecting Small Objects in Low-Light Environments","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408348765","doi":"https://doi.org/10.1109/access.2025.3548151"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3548151","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3548151","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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://doi.org/10.1109/access.2025.3548151","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5116592437","display_name":"Tao Dai","orcid":"https://orcid.org/0009-0002-2416-4010"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Dai","raw_affiliation_strings":["School of Computer, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China"],"raw_orcid":"https://orcid.org/0009-0002-2416-4010","affiliations":[{"raw_affiliation_string":"School of Computer, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103208274","display_name":"Qi Wang","orcid":"https://orcid.org/0000-0002-5809-4404"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Wang","raw_affiliation_strings":["School of Computer, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-5809-4404","affiliations":[{"raw_affiliation_string":"School of Computer, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113882504","display_name":"Y. Shen","orcid":"https://orcid.org/0009-0003-3490-6409"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuancheng Shen","raw_affiliation_strings":["Tandon School of Engineering, New York University, Brooklyn, NY, USA"],"raw_orcid":"https://orcid.org/0009-0003-3490-6409","affiliations":[{"raw_affiliation_string":"Tandon School of Engineering, New York University, Brooklyn, NY, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103067534","display_name":"Shang Gao","orcid":"https://orcid.org/0000-0001-5750-1680"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shang Gao","raw_affiliation_strings":["School of Computer, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0001-5750-1680","affiliations":[{"raw_affiliation_string":"School of Computer, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China","institution_ids":["https://openalex.org/I4210096899"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"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":3.9308,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.93866457,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"13","issue":null,"first_page":"42797","last_page":"42812"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.2799000144004822,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.2799000144004822,"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":0.23800000548362732,"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":0.6913634538650513}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6913634538650513}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3548151","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3548151","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2c26a119959c4aac9182e4e4ad26603e","is_oa":true,"landing_page_url":"https://doaj.org/article/2c26a119959c4aac9182e4e4ad26603e","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 13, Pp 42797-42812 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3548151","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3548151","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G2878936533","display_name":null,"funder_award_id":"62376109","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W2058333183","https://openalex.org/W2067191022","https://openalex.org/W2102605133","https://openalex.org/W2164847484","https://openalex.org/W2193145675","https://openalex.org/W2254039850","https://openalex.org/W2565639579","https://openalex.org/W2752782242","https://openalex.org/W2791071401","https://openalex.org/W2798844427","https://openalex.org/W2799265886","https://openalex.org/W2884561390","https://openalex.org/W2906985737","https://openalex.org/W2963037989","https://openalex.org/W2963091558","https://openalex.org/W2963150697","https://openalex.org/W2963495494","https://openalex.org/W2963684405","https://openalex.org/W2964241181","https://openalex.org/W2966102073","https://openalex.org/W2981718299","https://openalex.org/W2982770724","https://openalex.org/W2989604896","https://openalex.org/W3007653811","https://openalex.org/W3034552520","https://openalex.org/W3034971973","https://openalex.org/W3035731588","https://openalex.org/W3043995050","https://openalex.org/W3096609285","https://openalex.org/W3131500599","https://openalex.org/W3138516171","https://openalex.org/W3203608457","https://openalex.org/W3210997132","https://openalex.org/W4289752563","https://openalex.org/W4306955484","https://openalex.org/W4309030581","https://openalex.org/W4312349930","https://openalex.org/W4312443924","https://openalex.org/W4312812783","https://openalex.org/W4312832682","https://openalex.org/W4379472261","https://openalex.org/W4383904755","https://openalex.org/W4385245566","https://openalex.org/W4386939303","https://openalex.org/W4390872514","https://openalex.org/W4390872559","https://openalex.org/W6754146604","https://openalex.org/W6788135285","https://openalex.org/W6798838024","https://openalex.org/W6868861625"],"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/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Neural":[0],"networks":[1],"have":[2],"been":[3],"widely":[4],"employed":[5],"in":[6,62,81,97,145,165,169,173],"the":[7,114,119,151],"field":[8],"of":[9,121,141],"object":[10,15,32,60,79,95,126],"detection.":[11,127],"Transformers":[12],"enable":[13],"effective":[14],"detection":[16,33,61,75,80,96,136,140,185],"through":[17],"global":[18],"context":[19],"awareness,":[20],"modular":[21],"design,":[22],"scalability,":[23],"and":[24,44,74,92,105,167],"adaptability":[25],"to":[26,38,188],"diverse":[27],"target":[28],"scales.":[29],"However,":[30],"small":[31,59,178],"requires":[34],"careful":[35],"consideration":[36],"due":[37],"its":[39],"comprehensive":[40],"computations,":[41],"data":[42],"requirements,":[43],"real-time":[45],"performance":[46],"challenges.":[47,191],"To":[48],"address":[49],"these":[50],"issues,":[51],"we":[52,112],"present":[53,113],"SwinVision,":[54],"an":[55],"innovative":[56],"framework":[57,101],"for":[58,77,94,124,138,183],"low-light":[63,82,122,174],"environments.":[64],"This":[65],"research":[66],"shows":[67],"a":[68,85,133,162,181],"balanced":[69],"approach":[70],"between":[71],"computational":[72,103],"efficiency":[73],"accuracy":[76],"advancing":[78],"scenarios.":[83,147],"Firstly,":[84],"Swin":[86],"Transformer-based":[87],"computing":[88],"network":[89],"is":[90,132],"introduced":[91],"optimized":[93],"large-scale":[98],"areas.":[99],"The":[100,128],"balances":[102],"power":[104],"resource":[106],"efficiency,":[107],"surpassing":[108],"conventional":[109],"transformers.":[110],"Secondly,":[111],"STLE":[115],"module,":[116],"which":[117],"enhances":[118],"features":[120],"images":[123],"beneficial":[125],"last":[129],"building":[130],"block":[131,137],"specialized":[134],"Swin-based":[135],"accurate":[139],"small,":[142],"detailed":[143],"objects":[144],"resource-constrained":[146],"Experiments":[148],"conducted":[149],"on":[150],"VisDrone":[152],"dataset":[153],"significantly":[154],"ameliorated":[155],"existing":[156],"methods":[157],"such":[158],"as":[159],"YOLOv8x,":[160],"with":[161,177],"6.31%":[163],"increase":[164],"mAP":[166],"12.55%":[168],"AP50.":[170],"SwinVision\u2019s":[171],"effectiveness":[172],"environments,":[175],"especially":[176],"objects,":[179],"establishes":[180],"foundation":[182],"robust":[184],"systems":[186],"adapting":[187],"various":[189],"environmental":[190]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}