4 citations · 5 across the 6 of their papers we have counts for
6 papers
Training-Free Fine-Grained Semantic Segmentations in Low Data Regimes: A FungiTastic Baseline
Sebastian Cavada, Francesco Pelosin, Lapo Faggi
Fine-grained semantic segmentation requires both precise localization and discrimination between visually similar classes. In FungiTastic, this problem is further complicated by a…
PARTIME: Scalable and Parallel Processing Over Time with Deep Neural Networks
Enrico Meloni, Lapo Faggi, Simone Marullo +4
In this paper, we present PARTIME, a software library written in Python and based on PyTorch, designed specifically to speed up neural networks whenever data is continuously stream…
Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams
Matteo Tiezzi, Simone Marullo, Lapo Faggi +3
Devising intelligent agents able to live in an environment and learn by observing the surroundings is a longstanding goal of Artificial Intelligence. From a bare Machine Learning p…
Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments
Enrico Meloni, Alessandro Betti, Lapo Faggi +3
Continual learning refers to the ability of humans and animals to incrementally learn over time in a given environment. Trying to simulate this learning process in machines is a ch…
Holographic and QFT Complexity with angular momentum
Alice Bernamonti, Francesco Bigazzi, Davide Billo +2
We study the influence of angular momentum on quantum complexity for CFT states holographically dual to rotating black holes. Using the holographic complexity=action (CA) and compl…
Wave Propagation of Visual Stimuli in Focus of Attention
Lapo Faggi, Alessandro Betti, Dario Zanca +2
Fast reactions to changes in the surrounding visual environment require efficient attention mechanisms to reallocate computational resources to most relevant locations in the visua…