Vehicle detection in aerial images based on lightweight deep convolutional network-Reference-Cited by-同舟云学术

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Vehicle detection in aerial images based on lightweight deep convolutional network

Published:2020-12-09 Issue:2 Volume:15 Page:479-491
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Shen Jiaquan¹²,Liu Ningzhong¹²,Sun Han¹²

Affiliation:

1. College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China

2. MIIT Key Laboratory of Pattern Analysis and Machine Intelligence Nanjing China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12038

Reference45 articles.

1. Multiscale road centerlines extraction from high‐resolution aerial imagery;Liu R.;Neurocomputing,2017

2. Fast Multiclass Vehicle Detection on Aerial Images

3. Robust Vehicle Detection in Aerial Images Based on Cascaded Convolutional Neural Networks

4. Vehicle Detection in Aerial Images Based on Region Convolutional Neural Networks and Hard Negative Example Mining

5. Toward Fast and Accurate Vehicle Detection in Aerial Images Using Coupled Region-Based Convolutional Neural Networks

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