Filter combination learning for CNN model compression

In this paper, we propose a new method for generating convolution filters of a convolutional neural network (CNN) model as linear combinations of only a few basis filters that are provided as input features. In our approach, best coefficients of the linear combinations are searched (trained) with th...

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Bibliographic Details
Main Authors: Jaemin Jeong, Ji-Ho Cho, Jeong-Gun Lee
Format: Article
Language:English
Published: Elsevier 2021-03-01
Series:ICT Express
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405959521000011