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Found 8 papers, 1 papers with code
ReLiCADA -- Reservoir Computing using Linear Cellular Automata Design Algorithm
In this paper, we present a novel algorithm to optimize the design of Reservoir Computing using Cellular Automata models for time series applications.
Skeleton Graph-based Ultrasound-CT Non-rigid Registration
Autonomous ultrasound (US) scanning has attracted increased attention, and it has been seen as a potential solution to overcome the limitations of conventional US examinations, such as inter-operator variations.
BreakingBED -- Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks
The distilled models exhibit their strength against all white box attacks with an exception of C&W.
BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and Positioning Predictor on Edge Devices
Convolutional neural networks (CNNs) offer an excellent solution for face recognition and classification of correct mask wearing and positioning.
L2PF -- Learning to Prune Faster
In this context, we present Learning to Prune Faster which details a multi-task, try-and-learn method, discretely learning redundant filters of the CNN and a continuous action of how long the layers have to be fine-tuned.
ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks
Model compression techniques, such as pruning, are emphasized among other optimization methods for solving this problem.
Binary DAD-Net: Binarized Driveable Area Detection Network for Autonomous Driving
The driveable area detection, posed as a two class segmentation task, can be efficiently modeled with slim binary networks.
Resource-Aware Programming for Robotic Vision
The result indicate that the new programming model together with the extensions within the application layer, makes them highly adaptable; leading to better quality in the results obtained.
