2 papers
cs.CV2019
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…
cs.LG2018
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…