Experimental results of each model.

<div><p>Smoke and fire detection technology is a key technology for automatically realizing forest monitoring and forest fire warning. One of the most popular algorithms for object detection tasks is YOLOv5. However, it suffers from some challenges, such as high computational load and li...

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Bibliographic Details
Main Author:	Jie Yang (121778) (author)
Other Authors:	Wenchao Zhu (7608671) (author), Ting Sun (137181) (author), Xiaojun Ren (2643157) (author), Fang Liu (13271) (author)
Published:	2023
Subjects:	Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified experimental results demonstrated reducing network parameters path aggregation network object detection tasks lightweight forest smoke feature fusing process detecting forest smoke proposed method reduced forest fire warning neck network part limited detection performance high computational load div >< p fire detection technology proposed method ’ proposed method neck network object ’ feature ’ key technology feature fusion backbone network popular algorithms paper proposes multiple sets model size increased precision important information ghost modules expressing performance different features dataset required core code coordinate attention controlled experiments
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Experimental results of each model.

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