no code implementations • 20 Mar 2024 • Giulia Rizzoli, Matteo Caligiuri, Donald Shenaj, Francesco Barbato, Pietro Zanuttigh
In Federated Learning (FL), multiple clients collaboratively train a global model without sharing private data.
no code implementations • 19 Sep 2023 • Chang Liu, Giulia Rizzoli, Francesco Barbato, Andrea Maracani, Marco Toldo, Umberto Michieli, Yi Niu, Pietro Zanuttigh
Catastrophic forgetting of previous knowledge is a critical issue in continual learning typically handled through various regularization strategies.
1 code implementation • 21 Aug 2023 • Giulia Rizzoli, Francesco Barbato, Matteo Caligiuri, Pietro Zanuttigh
The development of computer vision algorithms for Unmanned Aerial Vehicles (UAVs) imagery heavily relies on the availability of annotated high-resolution aerial data.
no code implementations • 23 May 2023 • Giulia Rizzoli, Donald Shenaj, Pietro Zanuttigh
With the increasing availability of depth sensors, multimodal frameworks that combine color information with depth data are gaining interest.
1 code implementation • 20 Dec 2022 • HyunJun Jung, Guangyao Zhai, Shun-Cheng Wu, Patrick Ruhkamp, Hannah Schieber, Giulia Rizzoli, Pengyuan Wang, Hongcheng Zhao, Lorenzo Garattoni, Sven Meier, Daniel Roth, Nassir Navab, Benjamin Busam
Estimating 6D object poses is a major challenge in 3D computer vision.
no code implementations • 8 Nov 2022 • Francesco Barbato, Giulia Rizzoli, Pietro Zanuttigh
Most approaches for semantic segmentation use only information from color cameras to parse the scenes, yet recent advancements show that using depth data allows to further improve performances.