Zobrazeno 1 - 10
of 179
pro vyhledávání: '"Rossi, Leonardo P"'
Few-shot and continual learning face two well-known challenges in GANs: overfitting and catastrophic forgetting. Learning new tasks results in catastrophic forgetting in deep learning models. In the case of a few-shot setting, the model learns from a
Externí odkaz:
http://arxiv.org/abs/2410.14749
Recent advancements in generative models have revolutionized the field of artificial intelligence, enabling the creation of highly-realistic and detailed images. In this study, we propose a novel Mask Conditional Text-to-Image Generative Model (MCGM)
Externí odkaz:
http://arxiv.org/abs/2410.00483
Autor:
Botti, Filippo, Ergasti, Alex, Rossi, Leonardo, Fontanini, Tomaso, Ferrari, Claudio, Bertozzi, Massimo, Prati, Andrea
The goal of style transfer is, given a content image and a style source, generating a new image preserving the content but with the artistic representation of the style source. Most of the state-of-the-art architectures use transformers or diffusion-
Externí odkaz:
http://arxiv.org/abs/2409.10385
Autor:
Marchesini, Matteo, Dondi, Michelangelo, Rossi, Leonardo, Bolognini, Gabriele, Prevedelli, Marco, Minardi, Francesco
One of the prominent platforms for quantum technologies, cold atoms require reliable laser systems. We present the design, implementation, and characterization of a simple, compact, and economical laser system at 780 nm, entirely based on fiber compo
Externí odkaz:
http://arxiv.org/abs/2405.12770
Due to the limitations of current optical and sensor technologies and the high cost of updating them, the spectral and spatial resolution of satellites may not always meet desired requirements. For these reasons, Remote-Sensing Single-Image Super-Res
Externí odkaz:
http://arxiv.org/abs/2404.18924
Current state-of-the-art two-stage models on instance segmentation task suffer from several types of imbalances. In this paper, we address the Intersection over the Union (IoU) distribution imbalance of positive input Regions of Interest (RoIs) durin
Externí odkaz:
http://arxiv.org/abs/2404.16633
Autor:
Rossi, Leonardo de Lellis, Berto, Leticia Mara, Rohmer, Eric, Costa, Paula Paro, Gudwin, Ricardo Ribeiro, Colombini, Esther Luna, Simoes, Alexandre da Silva
The ability to automatically learn movements and behaviors of increasing complexity is a long-term goal in autonomous systems. Indeed, this is a very complex problem that involves understanding how knowledge is acquired and reused by humans as well a
Externí odkaz:
http://arxiv.org/abs/2305.00597
The ability to understand the surrounding scene is of paramount importance for Autonomous Vehicles (AVs). This paper presents a system capable to work in an online fashion, giving an immediate response to the arise of anomalies surrounding the AV, ex
Externí odkaz:
http://arxiv.org/abs/2302.10719
Publikováno v:
International Conference on Image Analysis and Processing. Springer, Cham, 2022
The Instance Segmentation task, an extension of the well-known Object Detection task, is of great help in many areas, such as precision agriculture: being able to automatically identify plant organs and the possible diseases associated with them, all
Externí odkaz:
http://arxiv.org/abs/2206.10192
Publikováno v:
International Conference on Image Analysis and Processing. Springer, Cham, 2022
Nowadays, Semi-Supervised Object Detection (SSOD) is a hot topic, since, while it is rather easy to collect images for creating a new dataset, labeling them is still an expensive and time-consuming task. One of the successful methods to take advantag
Externí odkaz:
http://arxiv.org/abs/2206.10186