Developing a Compressed Object Detection Model based on YOLOv4 for Deployment on Embedded GPU Platform of Autonomous System

Latest CNN-based object detection models are quite accurate but require a high-performance GPU to run in real-time. They still are heavy in terms of memory size and speed for an embedded system with limited memory space. Since the object detection for autonomous system is run on an embedded processo...

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Bibliographic Details

Main Authors:	Sim, Issac, Lim, Ju-Hyung, Jang, Young-Wan, You, JiHwan, Oh, SeonTaek, Kim, Young-Keun
Format:	Journal Article
Language:	English
Published:	01-08-2021
Subjects:	Computer Science - Computer Vision and Pattern Recognition
Online Access:	Get full text
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