109 citations · 165 across the 12 of their papers we have counts for
5 papers · 1 filter
Bridging between Computer and Robot Vision through Data Augmentation: a Case Study on Object Recognition
Antonio D'Innocente, Fabio Maria Carlucci, Mirco Colosi +1
Despite the impressive progress brought by deep network in visual object recognition, robot vision is still far from being a solved problem. The most successful convolutional archi…
From source to target and back: symmetric bi-directional adaptive GAN
Paolo Russo, Fabio Maria Carlucci, Tatiana Tommasi +1
The effectiveness of generative adversarial approaches in producing images according to a specific style or visual domain has recently opened new directions to solve the unsupervis…
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…
(DE)^2 CO: Deep Depth Colorization
F. M. Carlucci, P. Russo, B. Caputo
The ability to classify objects is fundamental for robots. Besides knowledge about their visual appearance, captured by the RGB channel, robots heavily need also depth information…
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…