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2020 – today
- 2024
[j2]Simone Magistri
, Daniele Baracchi, Dasara Shullani, Andrew D. Bagdanov, Alessandro Piva:
Continual learning for adaptive social network identification. Pattern Recognit. Lett. 180: 82-89 (2024)- [c3]Simone Magistri, Tomaso Trinci, Albin Soutif-Cormerais, Joost van de Weijer, Andrew D. Bagdanov:
Elastic Feature Consolidation For Cold Start Exemplar-Free Incremental Learning. ICLR 2024 - [i3]Simone Magistri, Tomaso Trinci, Albin Soutif-Cormerais, Joost van de Weijer, Andrew D. Bagdanov:
Elastic Feature Consolidation for Cold Start Exemplar-free Incremental Learning. CoRR abs/2402.03917 (2024) - [i2]Albin Soutif-Cormerais, Simone Magistri, Joost van de Weijer, Andrew D. Bagdanov:
An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates. CoRR abs/2405.18069 (2024) - [i1]Tomaso Trinci, Simone Magistri, Roberto Verdecchia, Andrew D. Bagdanov:
How green is continual learning, really? Analyzing the energy consumption in continual training of vision foundation models. CoRR abs/2409.18664 (2024) - 2023
- [j1]Simone Magistri, Marco Boschi, Francesco Sambo, Douglas Coimbra de Andrade, Matteo Simoncini, Luca Kubin, Leonardo Taccari, Luca De Luigi, Samuele Salti:
Lightweight and Effective Convolutional Neural Networks for Vehicle Viewpoint Estimation From Monocular Images. IEEE Trans. Intell. Transp. Syst. 24(1): 191-200 (2023) - [c2]Simone Magistri, Daniele Baracchi, Dasara Shullani, Andrew D. Bagdanov, Alessandro Piva:
Towards Continual Social Network Identification. IWBF 2023: 1-6 - 2020
- [c1]Simone Magistri, Francesco Sambo, Fabio Schoen, Douglas Coimbra de Andrade, Matteo Simoncini, Stefano Caprasecca, Luca Kubin, Luca Bravi, Leonardo Taccari:
A Lightweight Deep Learning Model for Vehicle Viewpoint Estimation from Dashcam Images. ITSC 2020: 1-6
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