Web: http://arxiv.org/abs/2002.10061

June 20, 2022, 1:11 a.m. | Wensi Tang, Guodong Long, Lu Liu, Tianyi Zhou, Michael Blumenstein, Jing Jiang

cs.LG updates on arXiv.org arxiv.org

The Receptive Field (RF) size has been one of the most important factors for
One Dimensional Convolutional Neural Networks (1D-CNNs) on time series
classification tasks. Large efforts have been taken to choose the appropriate
size because it has a huge influence on the performance and differs
significantly for each dataset. In this paper, we propose an Omni-Scale block
(OS-block) for 1D-CNNs, where the kernel sizes are decided by a simple and
universal rule. Particularly, it is a set of kernel …

arxiv classification cnns kernel lg scale time time series

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