Zobrazeno 1 - 10
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pro vyhledávání: '"P. Rizzoli"'
Autor:
H. Rott, S. Scheiblauer, J. Wuite, L. Krieger, D. Floricioiu, P. Rizzoli, L. Libert, T. Nagler
Publikováno v:
The Cryosphere, Vol 15, Pp 4399-4419 (2021)
Synthetic aperture radar interferometry (InSAR) is an efficient technique for mapping the surface elevation and its temporal change over glaciers and ice sheets. However, due to the penetration of the SAR signal into snow and ice, the apparent elevat
Externí odkaz:
https://doaj.org/article/7a6049303f05480a92e9114d2c500108
Current weakly-supervised incremental learning for semantic segmentation (WILSS) approaches only consider replacing pixel-level annotations with image-level labels, while the training images are still from well-designed datasets. In this work, we arg
Externí odkaz:
http://arxiv.org/abs/2407.13363
Publikováno v:
Revista de Teledetección, Vol 0, Iss 56, Pp 1-22 (2020)
Sentinel-1 interferometric time-series allow for the accurate retrieval of the target’s temporal decorrelation and, therefore, the inversion of land cover information and its temporal monitoring. This paper describes the development of an observati
Externí odkaz:
https://doaj.org/article/b0bbe04628594d15aca9fb0d4332a3ef
Autor:
Alghisi, Simone, Rizzoli, Massimo, Roccabruna, Gabriel, Mousavi, Seyed Mahed, Riccardi, Giuseppe
We study the limitations of Large Language Models (LLMs) for the task of response generation in human-machine dialogue. Several techniques have been proposed in the literature for different dialogue types (e.g., Open-Domain). However, the evaluations
Externí odkaz:
http://arxiv.org/abs/2406.06399
In Federated Learning (FL), multiple clients collaboratively train a global model without sharing private data. In semantic segmentation, the Federated source Free Domain Adaptation (FFreeDA) setting is of particular interest, where clients undergo u
Externí odkaz:
http://arxiv.org/abs/2403.13762
Autor:
Rizzoli, Aluna, Testerman, Donna
Let G be a simple algebraic group defined over an algebraically closed field k of characteristic p>0. Here we classify all irreducible kG-modules for which the principal A1 has no repeated composition factors, extending the work of Liebeck-Seitz-Test
Externí odkaz:
http://arxiv.org/abs/2402.12064
Autor:
Mousavi, Seyed Mahed, Roccabruna, Gabriel, Alghisi, Simone, Rizzoli, Massimo, Ravanelli, Mirco, Riccardi, Giuseppe
Large Pre-Trained Language Models have demonstrated state-of-the-art performance in different downstream tasks, including dialogue state tracking and end-to-end response generation. Nevertheless, most of the publicly available datasets and benchmarks
Externí odkaz:
http://arxiv.org/abs/2401.02297
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-1, Pp 45-49 (2018)
TanDEM-X is an innovative single-pass interferometric radar mission, which is comprised of two formation flying satellites. The TerraSAR-X (TSX) satellite was launched on June 15th 2007, and its almost identically constructed twin satellite TanDEM-X
Externí odkaz:
https://doaj.org/article/c75af34f80f14645a3a7da5dea58d58f
Autor:
Liu, Chang, Rizzoli, Giulia, Barbato, Francesco, Maracani, Andrea, Toldo, Marco, Michieli, Umberto, Niu, Yi, Zanuttigh, Pietro
Catastrophic forgetting of previous knowledge is a critical issue in continual learning typically handled through various regularization strategies. However, existing methods struggle especially when several incremental steps are performed. In this p
Externí odkaz:
http://arxiv.org/abs/2309.10479
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 scarcity of large-scale real datasets with pixel-level annotations pos
Externí odkaz:
http://arxiv.org/abs/2308.10491