<italic>Padding Module</italic>: Learning the Padding in Deep Neural Networks

<italic>Padding Module</italic>: Learning the Padding in Deep Neural Networks

During the last decades, many studies have been dedicated to improving the performance of neural networks, for example, the network architectures, initialization, and activation. However, investigating the importance and effects of learnable padding methods in deep learning remains relatively open....

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Bibliographic Details
Main Authors: Fahad Alrasheedi, Xin Zhong, Pei-Chi Huang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Padding module
deep learning
neural networks
trainable padding
Online Access:https://ieeexplore.ieee.org/document/10021573/

Internet

https://ieeexplore.ieee.org/document/10021573/

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