activity
20182021
most citedOne-Shot Unsupervised Cross-Domain Detection

5 citations · 5 across the 4 of their papers we have counts for

collaborators

10 papers

cs.CV2021

Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation

Silvia Bucci, Francesco Cappio Borlino, Barbara Caputo +1

Vision systems trained in closed-world scenarios fail when presented with new environmental conditions, new data distributions, and novel classes at deployment time. How to move to…

cs.AI2021

Towards Fairness Certification in Artificial Intelligence

Tatiana Tommasi, Silvia Bucci, Barbara Caputo +1

Thanks to the great progress of machine learning in the last years, several Artificial Intelligence (AI) techniques have been increasingly moving from the controlled research labor…

cs.CV2021

Multi-Modal RGB-D Scene Recognition Across Domains

Andrea Ferreri, Silvia Bucci, Tatiana Tommasi

Scene recognition is one of the basic problems in computer vision research with extensive applications in robotics. When available, depth images provide helpful geometric cues that…

cs.CV2020

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…

cs.CV2020

Self-Supervised Learning Across Domains

Silvia Bucci, Antonio D'Innocente, Yujun Liao +3

Human adaptability relies crucially on learning and merging knowledge from both supervised and unsupervised tasks: the parents point out few important concepts, but then the childr…

cs.CV20205 cited

One-Shot Unsupervised Cross-Domain Detection

Antonio D'Innocente, Francesco Cappio Borlino, Silvia Bucci +2

Despite impressive progress in object detection over the last years, it is still an open challenge to reliably detect objects across visual domains. Although the topic has attracte…