3 papers
cs.CV2023
Coloring Deep CNN Layers with Activation Hue Loss
Louis-François Bouchard, Mohsen Ben Lazreg, Matthew Toews
This paper proposes a novel hue-like angular parameter to model the structure of deep convolutional neural network (CNN) activation space, referred to as the {\em activation hue},…
cs.CV2023
PSDNet: Determination of Particle Size Distributions Using Synthetic Soil Images and Convolutional Neural Networks
Javad Manashti, Pouyan Pirnia, Alireza Manashty +3
This project aimed to determine the grain size distribution of granular materials from images using convolutional neural networks. The application of ConvNet and pretrained ConvNet…
cs.CV2021
GPU optimization of the 3D Scale-invariant Feature Transform Algorithm and a Novel BRIEF-inspired 3D Fast Descriptor
Jean-Baptiste Carluer, Laurent Chauvin, Jie Luo +4
This work details a highly efficient implementation of the 3D scale-invariant feature transform (SIFT) algorithm, for the purpose of machine learning from large sets of volumetric…