1 code implementation • CVPR 2023 • Yawar Siddiqui, Lorenzo Porzi, Samuel Rota Buló, Norman Müller, Matthias Nießner, Angela Dai, Peter Kontschieder
We propose Panoptic Lifting, a novel approach for learning panoptic 3D volumetric representations from images of in-the-wild scenes.
1 code implementation • 31 Jan 2022 • Fabio Cermelli, Massimiliano Mancini, Samuel Rota Buló, Elisa Ricci, Barbara Caputo
To tackle these issues, we introduce a novel incremental class learning approach for semantic segmentation taking into account a peculiar aspect of this task: since each training step provides annotation only for a subset of all possible classes, pixels of the background class exhibit a semantic shift.
no code implementations • 25 Mar 2021 • Massimiliano Mancini, Elisa Ricci, Barbara Caputo, Samuel Rota Buló
In this work, we provide a general formulation of binary mask based models for multi-domain learning by affine transformations of the original network parameters.