{"id":"https://openalex.org/W4412405204","doi":"https://doi.org/10.1109/cniot65435.2025.11071024","title":"Enhanced Fire Detection Using Knowledge Distillation and Multi-scale Attention in YOLOv8","display_name":"Enhanced Fire Detection Using Knowledge Distillation and Multi-scale Attention in YOLOv8","publication_year":2025,"publication_date":"2025-05-23","ids":{"openalex":"https://openalex.org/W4412405204","doi":"https://doi.org/10.1109/cniot65435.2025.11071024"},"language":"en","primary_location":{"id":"doi:10.1109/cniot65435.2025.11071024","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cniot65435.2025.11071024","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 6th International Conference on Computing, Networks and Internet of Things (CNIOT)","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/A5100785955","display_name":"Jiancheng Li","orcid":"https://orcid.org/0009-0004-3071-4546"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiancheng Li","raw_affiliation_strings":["Fuzhou University,School of Physics and Information Engineering,Fuzhou,China"],"affiliations":[{"raw_affiliation_string":"Fuzhou University,School of Physics and Information Engineering,Fuzhou,China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101647503","display_name":"Wei Lin","orcid":"https://orcid.org/0000-0002-6265-5307"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Lin","raw_affiliation_strings":["Fuzhou University,School of Physics and Information Engineering,Fuzhou,China"],"affiliations":[{"raw_affiliation_string":"Fuzhou University,School of Physics and Information Engineering,Fuzhou,China","institution_ids":["https://openalex.org/I80947539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100785955"],"corresponding_institution_ids":["https://openalex.org/I80947539"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25121951,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T12597","display_name":"Fire Detection and Safety Systems","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9714000225067139,"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/scale","display_name":"Scale (ratio)","score":0.5887182354927063},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.5838766098022461},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5678142309188843},{"id":"https://openalex.org/keywords/process-engineering","display_name":"Process engineering","score":0.38974452018737793},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3657471239566803},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1408088207244873},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.12868064641952515},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.11012065410614014}],"concepts":[{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5887182354927063},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.5838766098022461},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5678142309188843},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.38974452018737793},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3657471239566803},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1408088207244873},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.12868064641952515},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.11012065410614014},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cniot65435.2025.11071024","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cniot65435.2025.11071024","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 6th International Conference on Computing, Networks and Internet of Things (CNIOT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2912143961","https://openalex.org/W2969915407","https://openalex.org/W3049293014","https://openalex.org/W4207031702","https://openalex.org/W4224930816","https://openalex.org/W4297537745","https://openalex.org/W4312262963","https://openalex.org/W4313152193","https://openalex.org/W4313215781","https://openalex.org/W4327953416","https://openalex.org/W4376137411","https://openalex.org/W4377141775","https://openalex.org/W4380854331","https://openalex.org/W4388904600","https://openalex.org/W4392751976","https://openalex.org/W4403528105","https://openalex.org/W4403888521","https://openalex.org/W4403999410"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3085764877","https://openalex.org/W2514414740","https://openalex.org/W2377414158","https://openalex.org/W3199615306","https://openalex.org/W77207468","https://openalex.org/W3212781313","https://openalex.org/W124863575","https://openalex.org/W3203147184","https://openalex.org/W2037691954"],"abstract_inverted_index":{"Fire":[0],"is":[1],"a":[2,89],"destructive":[3],"disaster":[4],"that":[5,155],"threatens":[6],"human":[7],"safety":[8],"and":[9,20,29,83,119,142,149,172,177,196],"property.":[10],"Existing":[11],"fire":[12,104,163,194,198],"detection":[13,70,85,164],"algorithms":[14,161],"often":[15],"suffer":[16],"from":[17],"low":[18],"accuracy":[19],"high":[21],"omission":[22],"rates":[23],"due":[24],"to":[25,63,77,123,167],"varying":[26],"target":[27],"scales":[28],"complex":[30],"backgrounds.":[31],"Additionally,":[32],"many":[33],"models":[34],"are":[35],"computationally":[36],"complex,":[37],"making":[38],"them":[39],"unsuitable":[40],"for":[41,192],"real-time":[42,193],"deployment":[43],"on":[44,59,79],"edge":[45],"devices.":[46],"To":[47,72,95],"address":[48,96],"these":[49],"challenges,":[50],"this":[51],"paper":[52],"proposes":[53],"an":[54],"improved":[55,174],"YOLOv8":[56],"algorithm":[57],"based":[58],"knowledge":[60,128,140],"distillation,":[61,129],"aiming":[62],"efficiently":[64],"compress":[65],"the":[66,74,97,108,116,132,147,156,168,189],"model":[67,158],"while":[68,180],"maintaining":[69],"accuracy.":[71,165],"enhance":[73],"model\u2019s":[75,190],"ability":[76],"focus":[78],"key":[80],"flame":[81],"features":[82],"improve":[84],"accuracy,":[86],"we":[87,106,130],"introduce":[88],"Multi-scale":[90],"Spatial":[91],"Attention":[92],"(MSA)":[93],"mechanism.":[94],"challenge":[98],"of":[99],"feature":[100,144],"fusion":[101,117],"in":[102,127,162],"dense":[103],"scenes,":[105],"design":[107],"Dense":[109],"Feature":[110],"Alignment":[111],"(DFA)":[112],"module,":[113,136],"which":[114],"refines":[115],"process":[118],"improves":[120],"adaptability.":[121],"Furthermore,":[122],"resolve":[124],"cross-task":[125],"inconsistencies":[126],"propose":[131],"Logic":[133],"Matching":[134],"(LM)":[135],"ensuring":[137],"more":[138],"effective":[139],"transfer":[141],"consistent":[143],"representations":[145],"between":[146],"teacher":[148],"student":[150],"models.":[151],"Experimental":[152],"results":[153,186],"demonstrate":[154],"proposed":[157],"outperforms":[159],"existing":[160],"Compared":[166],"baseline":[169],"model,":[170],"precision":[171],"recall":[173],"by":[175,183],"4.9%":[176],"6.4%,":[178],"respectively,":[179],"mAP@0.5":[181],"increased":[182],"3.5%.":[184],"These":[185],"further":[187],"validate":[188],"capability":[191],"monitoring":[195],"accurate":[197],"identification.":[199]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
