Most languages use word position and sentence structure to extract meaning. For example, "The cat sat on the box," is not the same as "The box was on the cat." Over a long text, like a financial ...

Abstract: Recently, many state-of-the-art results for remote sensing image scene classification have been achieved by convolutional neural networks (CNNs) due to their large learning capability.

Abstract: Human activity recognition (HAR) plays a critical role in a wide range of real-world applications, and it is traditionally achieved via wearable sensing. Recently, to avoid the burden and ...

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 ...

High localization accuracy is crucial in many real-world applications. We propose a novel single stage end-to-end object detection network (RRC) to produce high accuracy detection results. You can use ...

This repository contains the implementation of AdaptConv for point cloud analysis. Adaptive Graph Convolution (AdaptConv) is a point cloud convolution operator presented in our ICCV2021 paper. If you ...