SS-FFD: A Semi-Supervised Object Detection Framework With Hybrid Attention and Reliability Assessment for Robust Forest Fire Detection

Forest fire detection is an important and complex research task. Its main difficulty lies in the fact that fire points usually present small-scale features, the boundaries of smoke areas are blurred and prone to missed detection, and they are easily confused with clouds or background information in...

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Principais autores:	Qinggan Wu, Chen Wei, Pingping Wang, Hao Chen, Jianmeng Zhou, Fanrui Kong, Weiyu Yuan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2026-01-01
coleção:	IEEE Access
Assuntos:	Forest fire detection semi-supervised object detection hybrid attention pseudo labels classification and localization
Acesso em linha:	https://ieeexplore.ieee.org/document/11509307/
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