48 citations · 138 across the 24 of their papers we have counts for
5 papers · 1 filter
RECALL+: Adversarial Web-based Replay for Continual Learning in Semantic Segmentation
Chang Liu, Giulia Rizzoli, Francesco Barbato +5
Catastrophic forgetting of previous knowledge is a critical issue in continual learning typically handled through various regularization strategies. However, existing methods strug…
SynDrone -- Multi-modal UAV Dataset for Urban Scenarios
Giulia Rizzoli, Francesco Barbato, Matteo Caligiuri +1
The development of computer vision algorithms for Unmanned Aerial Vehicles (UAVs) imagery heavily relies on the availability of annotated high-resolution aerial data. However, the…
Continual Road-Scene Semantic Segmentation via Feature-Aligned Symmetric Multi-Modal Network
Francesco Barbato, Elena Camuffo, Simone Milani +1
State-of-the-art multimodal semantic segmentation strategies combining LiDAR and color data are usually designed on top of asymmetric information-sharing schemes and assume that bo…
Source-Free Domain Adaptation for RGB-D Semantic Segmentation with Vision Transformers
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. However, ground truth data for semanti…
Asynchronous Federated Continual Learning
Donald Shenaj, Marco Toldo, Alberto Rigon +1
The standard class-incremental continual learning setting assumes a set of tasks seen one after the other in a fixed and predefined order. This is not very realistic in federated l…