Algorithm deployment.

Algorithm deployment.

<p>(a) YOLOv8n in low light conditions, (b) YOLOv8n under sufficient lighting conditions, (c) MFD-YOLO in low light conditions, (d) MFD-YOLO under sufficient lighting conditions.</p>

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Bibliographic Details
Main Author:	Bo Tong (2138632) (author)
Other Authors:	Guan Li (3820189) (author), Xiangli Bu (771270) (author), Yang Wang (5921) (author), Xingchen Yu (8933981) (author)
Published:	2025
Subjects:	Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified site surveillance images image data distribution generating spatial offsets experimental results indicate dynamically selecting weights detailed contextual information 6 %, respectively multiscale feature focus enriching feature diversity structured pruning techniques computational load decreased model &# 8217 enhance classification precision parameter count dropped integrate interactive features low detection accuracy improved model based parameter count interactive features feature masks reducing computational detection accuracy based algorithm parameter loads varying levels substantial reduction scale features pruning level proposed mfd paper proposes localization tasks geometric transformations existing models deep learning construction workers construction sites construction scenarios better adapt across scales 95 improved 53 %.
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