Absorption Pruning of Deep Neural Network for Object Detection in Remote Sensing Imagery

Absorption Pruning of Deep Neural Network for Object Detection in Remote Sensing Imagery

In recent years, deep convolutional neural networks (DCNNs) have been widely used for object detection tasks in remote sensing images. However, the over-parametrization problem of DCNNs hinders their application in resource-constrained remote sensing devices. In order to solve this problem, we propo...

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Bibliographic Details
Main Authors: Jielei Wang, Zongyong Cui, Zhipeng Zang, Xiangjie Meng, Zongjie Cao
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Remote Sensing
Subjects:
remote sensing imagery
object detection
network pruning
object characteristics
deep convolutional neural network (DCNN)
Online Access:https://www.mdpi.com/2072-4292/14/24/6245

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