49 citations · 230 across the 30 of their papers we have counts for
6 papers · 1 filter
Improving Panoptic Segmentation at All Scales
Lorenzo Porzi, Samuel Rota Bulò, Peter Kontschieder
Crop-based training strategies decouple training resolution from GPU memory consumption, allowing the use of large-capacity panoptic segmentation networks on multi-megapixel images…
Are we Missing Confidence in Pseudo-LiDAR Methods for Monocular 3D Object Detection?
Andrea Simonelli, Samuel Rota Bulò, Lorenzo Porzi +2
Pseudo-LiDAR-based methods for monocular 3D object detection have received considerable attention in the community due to the performance gains exhibited on the KITTI3D benchmark,…
DSLib: An open source library for the dominant set clustering method
Sebastiano Vascon, Samuel Rota Bulò, Vittorio Murino +1
DSLib is an open-source implementation of the Dominant Set (DS) clustering algorithm written entirely in Matlab. The DS method is a graph-based clustering technique rooted in the e…
Shape Consistent 2D Keypoint Estimation under Domain Shift
Levi O. Vasconcelos, Massimiliano Mancini, Davide Boscaini +3
Recent unsupervised domain adaptation methods based on deep architectures have shown remarkable performance not only in traditional classification tasks but also in more complex pr…
Boosting Deep Open World Recognition by Clustering
Dario Fontanel, Fabio Cermelli, Massimiliano Mancini +3
While convolutional neural networks have brought significant advances in robot vision, their ability is often limited to closed world scenarios, where the number of semantic concep…
Modeling the Background for Incremental Learning in Semantic Segmentation
Fabio Cermelli, Massimiliano Mancini, Samuel Rota Bulò +2
Despite their effectiveness in a wide range of tasks, deep architectures suffer from some important limitations. In particular, they are vulnerable to catastrophic forgetting, i.e.…