Mingi Kim, Heegwang Kim, Chanyeong Park, Joonki Paik
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Light-weight Deep Neural Network for Small Vehicle Detection using Model-scale YOLOv4
In this paper, we present a light-weight deep neural network based on an efficiently scaled YOLOv4 model for detecting small objects in drone images. Since drone-captured images mainly contain small objects, we modified the YOLOv4 model by eliminating the head layer responsible for detecting large objects. This modification significantly reduced the model
期刊介绍:
IEIE Transactions on Smart Processing & Computing (IEIE SPC) is a regular academic journal published by the IEIE (Institute of Electronics and Information Engineers). This journal is published bimonthly (the end of February, April, June, August, October, and December). The topics of the new journal include smart signal processing, smart wireless communications, and smart computing. Since all electronic devices have become human brain-like, signal processing, wireless communications, and computing are required to be smarter than traditional systems. Additionally, electronic computing devices have become smaller, and more mobile. Thus, we call for papers sharing the results of the state-of-art research in various fields of interest. In order to quickly disseminate new technologies and ideas for the smart signal processing, wireless communications, and computing, we publish our journal online only. Our most important aim is to publish the accepted papers quickly after receiving the manuscript. Our journal consists of regular and special issue papers. The papers are strictly peer-reviewed. Both theoretical and practical contributions are encouraged for our Transactions.