47 citations · 127 across the 23 of their papers we have counts for
3 papers · 1 filter
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
Samuel Rota Bulò, Lorenzo Porzi, Peter Kontschieder
In this work we present In-Place Activated Batch Normalization (InPlace-ABN) - a novel approach to drastically reduce the training memory footprint of modern deep neural networks i…
AutoDIAL: Automatic DomaIn Alignment Layers
Fabio Maria Carlucci, Lorenzo Porzi, Barbara Caputo +2
Classifiers trained on given databases perform poorly when tested on data acquired in different settings. This is explained in domain adaptation through a shift among distributions…
Just DIAL: DomaIn Alignment Layers for Unsupervised Domain Adaptation
Fabio Maria Carlucci, Lorenzo Porzi, Barbara Caputo +2
The empirical fact that classifiers, trained on given data collections, perform poorly when tested on data acquired in different settings is theoretically explained in domain adapt…