A Parallel Convolutional Neural Network for Pedestrian Detection

A Parallel Convolutional Neural Network for Pedestrian Detection

Pedestrian detection is a crucial task in many vision-based applications, such as video<br />surveillance, human activity analysis and autonomous driving. Recently, most of the existing<br />pedestrian detection frameworks only focus on the detection accuracy or model parameters.<br /...

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Bibliographic Details
Main Authors: Mengya Zhu, Yiquan Wu
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Electronics
Subjects:
pedestrian detection
convolutional neural network
feature extraction
Fire module
focal loss
Online Access:https://www.mdpi.com/2079-9292/9/9/1478

Internet

https://www.mdpi.com/2079-9292/9/9/1478

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