LC-YOLO: A Lightweight Model with Efficient Utilization of Limited Detail Features for Small Object Detection

The limited computing resources on edge devices such as Unmanned Aerial Vehicles (UAVs) mean that lightweight object detection algorithms based on convolution neural networks require significant development. However, lightweight models are challenged by small targets with few available features. In...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Menghua Cui, Guoliang Gong, Gang Chen, Hongchang Wang, Min Jin, Wenyu Mao, Huaxiang Lu
Format:	Article
Language:	English
Published:	MDPI AG 2023-03-01
Subjects:	small object detection lightweight network feature extraction attention mechanism feature fusion
Online Access:	https://www.mdpi.com/2076-3417/13/5/3174