In this paper, we rethink the application of 1D convolution in lightweight semantic segmentation and design a 1D multi-layer spatial module (1D-MS) ... Method 3.1. 1D-MS and 1D-MC. Lightweight ...

Grouped convolution has been observed to be an effective approximation for convolution in many DNN applications. For example, SqueezeBERT, which is a light and fast BERT language processing model, ...

In this paper, we propose a novel 1D Deformable Convolutional Neural Network for the quantitative analysis of the capnograph. A learnable and deformable convolution layer and pooling layer ... to ...