4 papers
On the Effectiveness of Image Rotation for Open Set Domain Adaptation
Silvia Bucci, Mohammad Reza Loghmani, Tatiana Tommasi
Open Set Domain Adaptation (OSDA) bridges the domain gap between a labeled source domain and an unlabeled target domain, while also rejecting target classes that are not present in…
A recurrent multi-scale approach to RBG-D Object Recognition
Mirco Planamente, Mohammad Reza Loghmani, Barbara Caputo
Technological development aims to produce generations of increasingly efficient robots able to perform complex tasks. This requires considerable efforts, from the scientific commun…
Multimodal Deep Domain Adaptation
Silvia Bucci, Mohammad Reza Loghmani, Barbara Caputo
Typically a classifier trained on a given dataset (source domain) does not performs well if it is tested on data acquired in a different setting (target domain). This is the proble…
Recurrent Convolutional Fusion for RGB-D Object Recognition
Mohammad Reza Loghmani, Mirco Planamente, Barbara Caputo +1
Providing machines with the ability to recognize objects like humans has always been one of the primary goals of machine vision. The introduction of RGB-D cameras has paved the way…