GitHub

Convolution in Digital Signal Processing

You can use these live scripts as demonstrations in lectures, class activities, or interactive assignments outside class. This module covers the definition and computation of 1D and 2D convolution, as ...
IEEE

Superpixel Guided Deformable Convolution Network for Hyperspectral Image Classification

Abstract: Convolutional neural networks are widely used in the field of hyperspectral image classification because of their excellent nonlinear feature extraction ability. However, as the sampling ...
Investopedia

Fisher's Separation Theorem: Concepts, Importance, and Applications

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 ...
IEEE

Dilated Convolution and Feature Fusion SSD Network for Small Object Detection in Remote Sensing Images

Abstract: Noting the shortcomings of current methods in detecting small objects in image-based remote sensing applications, in this paper, we propose a novel implementation of single shot multibox ...
GitHub

Virtual Sparse Convolution for Multimodal 3D Object Detection

VirConv-L: A light-weight multimodal 3D detector based on Virtual Sparse Convolution. VirConv-T: A improved multimodal 3D detector based on Virtual Sparse Convolution and transformed refinement scheme ...