1 code implementation • 28 May 2024 • Matteo Farina, Gianni Franchi, Giovanni Iacca, Massimiliano Mancini, Elisa Ricci
Thanks to its simplicity and comparatively negligible computation, ZERO can serve as a strong baseline for future work in this field.
1 code implementation • 8 Apr 2024 • Matteo Farina, Massimiliano Mancini, Elia Cunegatti, Gaowen Liu, Giovanni Iacca, Elisa Ricci
In this challenging setting, the transferable representations already encoded in the pretrained model are a key aspect to preserve.
1 code implementation • 26 May 2023 • Elia Cunegatti, Matteo Farina, Doina Bucur, Giovanni Iacca
With these novelties, we show the following: (a) The proposed MGE allows to extract topological metrics that are much better predictors of the accuracy drop than metrics computed from current input-agnostic BGEs; (b) Which metrics are important at different sparsity levels and for different architectures; (c) A mixture of our topological metrics can rank PaI algorithms more effectively than Ramanujan-based metrics.
1 code implementation • CVPR 2023 • Matteo Farina, Luca Magri, Willi Menapace, Elisa Ricci, Vladislav Golyanik, Federica Arrigoni
Geometric model fitting is a challenging but fundamental computer vision problem.