2024
DOI: 10.1111/coin.12640
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An effective graph embedded YOLOv5 model for forest fire detection

Hui Yuan,
Zhumao Lu,
Ruizhe Zhang
et al.

Abstract: The existing YOLOv5‐based framework has achieved great success in the field of target detection. However, in forest fire detection tasks, there are few high‐quality forest fire images available, and the performance of the YOLO model has suffered a serious decline in detecting small‐scale forest fires. Making full use of context information can effectively improve the performance of small target detection. To this end, this paper proposes a new graph‐embedded YOLOv5 forest fire detection framework, which can im… Show more

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Cited by 4 publications
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