YOlOv5s-ACE: Forest Fire Object Detection Algorithm Based on Improved YOLOv5s
Author:
Funder
National Natural Science Foundation of China
Liaoning Revitalization Talents Program
Foundation of Liaoning Province Education Administration
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10694-024-01619-4.pdf
Reference47 articles.
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3. Hodges J, Lattimer B, Hughes J (2019) Wildland fire spread modeling using convolutional neural networks. Fire Technol 55:1–28
4. Wang T, Wang J, Wang C, Lei Y, Cao R (2023) Improving YOLOX network for multi-scale fire detection. Vis Comput. https://doi.org/10.1007/s00371-023-03178-1
5. Mišić N, Protić M, Cerdà A et al (2024) Transition from surface to crown fires: effects of moisture content. Fire Technol 60(1):669–700
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