Rotation Invariant Local Binary Convolution Neural Networks

Rotation Invariant Local Binary Convolution Neural Networks

Convolutional neural networks (CNNs) have achieved unprecedented successes in computer vision fields, but they remain challenged by the problem about how to effectively process the orientation transformation of objects with fewer parameters. In this paper, we propose a new convolutional module, loca...

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Bibliographic Details
Main Authors: Xin Zhang, Yuxiang Xie, Jie Chen, Lingda Wu, Qixiang Ye, Li Liu
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Deep learning
rotation invariance
convolutional neural network
local binary filter
Online Access:https://ieeexplore.ieee.org/document/8323369/

Internet

https://ieeexplore.ieee.org/document/8323369/

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