Abstract: It has long been recognized that the standard convolution is not rotation equivariant and thus not appropriate for downside fisheye images which are rotationally symmetric. This paper ...
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution
Abstract: In natural images, information is conveyed at different frequencies where higher frequencies are usually encoded with fine details and lower frequencies are usually encoded with global ...
This project involves implementing the forward pass of an 18-layer Convolutional Neural Network (CNN) in MATLAB for object detection. The goal is to classify 32x32x3 images into one of ten categories, ...
A website called 'Animated AI' has been published that uses animation to explain 'Convolutional Neural Networks (CNN),' a technology widely used in the field of machine learning. The website visually ...
Most often we won't be implementing convolution every time we need to use it. Therefore, it is important to know functions from numerical software libraries we can use. Before we dive into the ...
There are quite a few software applications that are considered indispensable for a variety of specialized subject areas of academia and research, such as engineering, science, and economics. And the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results