@article{M9CE5B771,
title = "Mask-Based Selective Downsampling in Convolutional Neural Networks",
journal = "The Journal of Korean Institute of Communications and Information Sciences",
year = "2025",
issn = "1226-4717",
doi = "10.7840/kics.2025.50.5.722",
author = "Chulyoung Kwak, Saewoong Bahk",
keywords = "Down sampling, Convolutional Neural network, Signal Processing",
abstract = "This letter presents a study on selective down-sampling techniques designed to enhance the efficiency of convolutional neural networks (CNNs).
By selectively adjusting the resolution of feature layers based on the down-sampling mask, this method aims to improve efficiency. We develop a network that is 80% lighter than the baseline scheme, and introduce several methods to mitigate the performance degradation of light weight networks. The performance of the proposed methods is evaluated through extensive experiments."
}