Single Sample per Pixel (SSPP) is a stochastic trick to improve the performance of otherwise expensive convolution operations. In classic convolution, a filter kernel is shifted across an image and at ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

1 The Norwegian University of Sport and Physical Education, Oslo, Norway Correspondence to: Monica Klungland Torstveit The Norwegian University of Sport and Physical Education, PO Box 4014, Ullevaal ...

Bone density prediction via CT scans to estimate T-scores is crucial, providing a more precise assessment of bone health compared to traditional methods like X-ray bone density tests, which lack ...

Abstract: Recently, improving the residual structure and designing efficient convolutions have become important branches of lightweight visual reconstruction model design. We have observed that the ...

This repository provides a minimal, modular TensorFlow 2 implementation of GLOW (Generative Flow with Invertible 1×1 Convolutions), a generative model that uses invertible neural networks to transform ...

Despite the success in still image recognition, deep neural networks for spatiotemporal signal tasks (such as human action recognition in videos) still suffers from low efficacy and inefficiency over ...