12 citations · 21 across the 16 of their papers we have counts for
3 papers · 1 filter
Balanced Mixture of SuperNets for Learning the CNN Pooling Architecture
Mehraveh Javan, Matthew Toews, Marco Pedersoli
Downsampling layers, including pooling and strided convolutions, are crucial components of the convolutional neural network architecture that determine both the granularity/scale o…
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…
Comparing PSDNet, pretrained networks, and traditional feature extraction for predicting the particle size distribution of granular materials from photographs
Javad Manashti, François Duhaime, Matthew F. Toews +2
This study aims to evaluate PSDNet, a series of convolutional neural networks (ConvNets) trained with photographs to predict the particle size distribution of granular materials. N…