This is the official code of Fast Fourier Convolution for image classification on ImageNet. To train a model, run main.py with the desired model architecture and other super-paremeters: python main.py ...

Here’s something fun. Our hacker [Willow Cunningham] has sent us a copy of their homework. This is their final project for the “ECE 574: Cluster Computing” course at the University of Maine, Orono. It ...

Today’s world is full of data, and images make up a significant portion of this data. However, to be put to any use, these images need to be processed. Image processing is how we analyze and ...

MobileNet is a light-weight computer vision model designed to be used in mobile applications. What is MobileNet? MobileNet depthwise separable convolution explained. Difference between MobileNet and ...

Altera's Field Programmable Gate Arrays (FPGAs) are a powerful choice for video processing and AI applications, offering real-time performance and high efficiency. These devices employ 2D Finite ...

Operator learning is a transformative approach in scientific computing. It focuses on developing models that map functions to other functions, an essential aspect of solving partial differential ...

Abstract: Gunshot detection has been applied in fields such as defense and forensic sciences. This plays a very critical role in law enforcement and public safety. Detecting a gunshot begins with ...

This method uses a 1-D causal convolution strategy with a residual learning framework to perform dilated causal convolutions. The simulation studies of the proposed TCN-based identification-scheme are ...