14 citations · 39 across the 10 of their papers we have counts for
6 papers · 1 filter
PrunedCaps: A Case For Primary Capsules Discrimination
Ramin Sharifi, Pouya Shiri, Amirali Baniasadi
Capsule Networks (CapsNets) are a generation of image classifiers with proven advantages over Convolutional Neural Networks (CNNs). Better robustness to affine transformation and o…
DL-CapsNet: A Deep and Light Capsule Network
Pouya Shiri, Amirali Baniasadi
Capsule Network (CapsNet) is among the promising classifiers and a possible successor of the classifiers built based on Convolutional Neural Network (CNN). CapsNet is more accurate…
LE-CapsNet: A Light and Enhanced Capsule Network
Pouya Shiri, Amirali Baniasadi
Capsule Network (CapsNet) classifier has several advantages over CNNs, including better detection of images containing overlapping categories and higher accuracy on transformed ima…
Convolutional Fully-Connected Capsule Network (CFC-CapsNet): A Novel and Fast Capsule Network
Pouya Shiri, Amirali Baniasadi
A Capsule Network (CapsNet) is a relatively new classifier and one of the possible successors of Convolutional Neural Networks (CNNs). CapsNet maintains the spatial hierarchies bet…
Quick-CapsNet (QCN): A fast alternative to Capsule Networks
Pouya Shiri, Ramin Sharifi, Amirali Baniasadi
The basic computational unit in Capsule Network (CapsNet) is a capsule (vs. neurons in Convolutional Neural Networks (CNNs)). A capsule is a set of neurons, which form a vector. Ca…
Quantum Annealing Approaches to the Phase-Unwrapping Problem in Synthetic-Aperture Radar Imaging
Khaled A. Helal Kelany, Nikitas Dimopoulos, Clemens P. J. Adolphs +2
The focus of this work is to explore the use of quantum annealing solvers for the problem of phase unwrapping of synthetic aperture radar (SAR) images. Although solutions to this p…