Mixed YOLOv3-LITE: A Lightweight Real-Time Object Detection Method

Mixed YOLOv3-LITE: A Lightweight Real-Time Object Detection Method

Embedded and mobile smart devices face problems related to limited computing power and excessive power consumption. To address these problems, we propose Mixed YOLOv3-LITE, a lightweight real-time object detection network that can be used with non-graphics processing unit (GPU) and mobile devices. B...

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Bibliographic Details
Main Authors: Haipeng Zhao, Yang Zhou, Long Zhang, Yangzhao Peng, Xiaofei Hu, Haojie Peng, Xinyue Cai
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Sensors
Subjects:
object detection
computer vision
convolutional neural network
embedded system
real-time performance
Online Access:https://www.mdpi.com/1424-8220/20/7/1861

Internet

https://www.mdpi.com/1424-8220/20/7/1861

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