Abstract: We propose reparameterized refocusing convolution (RefConv) as a replacement for regular convolutional layers, which is a plug-and-play module to improve the performance without any ...

In this video, we will understand what is Convolution Operation in CNN. Convolution Operation is the heart of Convolutional Neural Network. It is responsible for detecting the edges or features of the ...

Convolution is used in a variety of signal-processing applications, including time-domain-waveform filtering. In a recent series on the inverse fast Fourier transform (FFT), we concluded with a ...

Abstract: Medical anatomy segmentation is essential for computer-aided diagnosis and lesion localization in medical images. For example, segmenting individual ribs benefits localizing the lung lesions ...

Deep learning surrogate models are being increasingly used in accelerating scientific simulations as a replacement for costly conventional numerical techniques. However, their use remains a ...

When looking at the code you might realize there's a similarity to the autocorrelation / cross correlation demo app. :) Please be aware that you need Matlab and its Symbolic Math Toolbox (mainly for ...

An About Us page is an integral piece of content to have on your website. Every single successful business has one, no matter their industry or what they sell. After all, every brand has a story – and ...

Graph convolution networks (GCNs) have been widely used in the field of skeleton-based human action recognition. However, it is still difficult to improve recognition performance and reduce parameter ...

MATLAB-based Digital Signal Processing Laboratory with examples of convolution, DFT, FIR filtering, and more. Each folder includes code and individual README files for theoretical explanations.