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FireNet: A Lightweight and Efficient Multi-Scenario Fire Object Detector

Fire and smoke detection technologies face challenges in complex and dynamic environments. Traditional detectors are vulnerable to background noise, lighting changes, and similar objects (e.g., clouds, steam, dust), leading to high false alarm rates. Additionally, they struggle with detecting small...

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Bibliografiske detaljer
Principais autores: Yonghuan He, Age Sahma, Xu He, Rong Wu, Rui Zhang
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2024-11-01
Serier:Remote Sensing
Fag:
Online adgang:https://www.mdpi.com/2072-4292/16/21/4112
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