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A Shallow–Deep Feature Fusion Method for Pedestrian Detection

In this paper, a shallow–deep feature fusion (SDFF) method is developed for pedestrian detection. Firstly, we propose a shallow feature-based method under the ACF framework of pedestrian detection. More precisely, improved Haar-like templates with Local FDA learning are used to filter the channel ma...

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Principais autores: Daxue Liu, Kai Zang, Jifeng Shen
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2021-10-01
Serier:Applied Sciences
Fag:
feature extraction
ACF
Haar-like feature
Local FDA
ResNet
pedestrian detection
Online adgang:https://www.mdpi.com/2076-3417/11/19/9202
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