Search Results for author:
Found 2 papers, 2 papers with code
A tomographic workflow to enable deep learning for X-ray based foreign object detection
In this work, we propose a Computed Tomography (CT) based method for producing training data for supervised learning of foreign object detection, with minimal labour requirements.
LEAN: graph-based pruning for convolutional neural networks by extracting longest chains
Neural network pruning techniques can substantially reduce the computational cost of applying convolutional neural networks (CNNs).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
