Abstract: Convolution operation is the most significant component in convolution neural networks (CNNs). However, the high computation cost limits its application on mobiles and embedded devices. To ...

A windowed sinc function can implement a low-pass filter, and a two-dimensional convolutional filter can blur or sharpen images. In part 3 of this series, we introduced a low-pass filter based on 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 ...

In current generative models, we usually apply convolutions over large-size activations to generate high-resolution content. However, PyTorch tends to use excessive memory for these operations, ...

Let’s see all these methods in detail. 1] Type exponents in Microsoft Word by inserting an equation The following instructions will help you type exponents by inserting an equation in Word. You can ...

Abstract: Standard convolution applied to image inpainting would lead to color discrepancy and blurriness for treating valid and invalid/hole regions without difference, which was partially amended by ...

The computer vision domain has seen significant advancement in recent years thanks to the prevalence of self-attention. Self-attention modules have proved to be extremely useful in natural language ...

Accurate and rapid identification of apple leaf diseases is the basis for preventing and treating apple diseases. However, it is challenging to identify apple leaf diseases due to their various ...