7 citations · 7 across the 3 of their papers we have counts for
4 papers
Dynamic ConvNets on Tiny Devices via Nested Sparsity
Matteo Grimaldi, Luca Mocerino, Antonio Cipolletta +1
This work introduces a new training and compression pipeline to build Nested Sparse ConvNets, a class of dynamic Convolutional Neural Networks (ConvNets) suited for inference tasks…
Adaptive Test-Time Augmentation for Low-Power CPU
Luca Mocerino, Roberto G. Rizzo, Valentino Peluso +2
Convolutional Neural Networks (ConvNets) are trained offline using the few available data and may therefore suffer from substantial accuracy loss when ported on the field, where un…
TentacleNet: A Pseudo-Ensemble Template for Accurate Binary Convolutional Neural Networks
Luca Mocerino, Andrea Calimera
Binarization is an attractive strategy for implementing lightweight Deep Convolutional Neural Networks (CNNs). Despite the unquestionable savings offered, memory footprint above al…
CoopNet: Cooperative Convolutional Neural Network for Low-Power MCUs
Luca Mocerino, Andrea Calimera
Fixed-point quantization and binarization are two reduction methods adopted to deploy Convolutional Neural Networks (CNN) on end-nodes powered by low-power micro-controller units (…