Principal Components of Neural Convolution Filters
Author:
Affiliation:
1. Department of Electronics and Electrical Engineering, Keio University, Yokohama-shi, Kanagawa, Japan
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09905565.pdf?arnumber=9905565
Reference27 articles.
1. Symmetrical filters in convolutional neural networks
2. Frequency learning for structured CNN filters with Gaussian fractional derivatives;saldanha;Proc 32nd Brit Mach Vis Conf,2021
3. Resolution Learning in Deep Convolutional Networks Using Scale-Space Theory
4. Scale-equivariant steerable networks;sosnovik;Proc Int Conf Learn Represent,2020
5. Micro-batch training with batch-channel normalization and weight standardization;qiao;arXiv 1903 10520,2019
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1. Structure and Base Analysis of Receptive Field Neural Networks in a Character Recognition Task;Sensors;2022-12-12
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