6 citations · 8 across the 2 of their papers we have counts for
3 papers
Feature Fusion for Robust Patch Matching With Compact Binary Descriptors
Andrea Migliorati, Attilio Fiandrotti, Gianluca Francini +2
This work addresses the problem of learning compact yet discriminative patch descriptors within a deep learning framework. We observe that features extracted by convolutional layer…
Learning Sparse Neural Networks via Sensitivity-Driven Regularization
Enzo Tartaglione, Skjalg Lepsøy, Attilio Fiandrotti +1
The ever-increasing number of parameters in deep neural networks poses challenges for memory-limited applications. Regularize-and-prune methods aim at meeting these challenges by s…
Fast Training of Convolutional Neural Networks via Kernel Rescaling
Pedro Porto Buarque de Gusmão, Gianluca Francini, Skjalg Lepsøy +1
Training deep Convolutional Neural Networks (CNN) is a time consuming task that may take weeks to complete. In this article we propose a novel, theoretically founded method for red…