Lightweight Fire Detection Using YOLOv11 with Joint Deformable Attention and Downsampling-Loss Optimization

Objective This study addresses the key limitations in unmanned aerial vehicle (UAV)-based fire detection within complex forest environments, including insufficient discriminative feature extraction for irregular and dynamic flame patterns, high missed detection rates for small or early-stage fire ta...

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Detalhes bibliográficos

Principais autores:	Sheng Yuzhou, Wan Xiaojing, Wang Shuo
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Editorial Department of Journal of Sichuan University (Engineering Science Edition) 2026-01-01
coleção:	工程科学与技术
Assuntos:	fire detection unmanned aerial vehicle object detection deformable attention mechanism lightweight design
Acesso em linha:	http://jsuese.scu.edu.cn/thesisDetails#10.12454/j.jsuese.202500593
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