most citedBoosting Binary Masks for Multi-Domain Learning through Affine Transformations

8 citations · 18 across the 8 of their papers we have counts for

collaborators

17 papers

cs.CV2021

Reimagine BiSeNet for Real-Time Domain Adaptation in Semantic Segmentation

Antonio Tavera, Carlo Masone, Barbara Caputo

Semantic segmentation models have reached remarkable performance across various tasks. However, this performance is achieved with extremely large models, using powerful computation…

cs.CV2021

Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic Segmentation

Antonio Tavera, Fabio Cermelli, Carlo Masone +1

In this paper we consider the task of semantic segmentation in autonomous driving applications. Specifically, we consider the cross-domain few-shot setting where training can use o…

cs.CV2021

Viewpoint Invariant Dense Matching for Visual Geolocalization

Gabriele Berton, Carlo Masone, Valerio Paolicelli +1

In this paper we propose a novel method for image matching based on dense local features and tailored for visual geolocalization. Dense local features matching is robust against ch…

cs.CV2021

Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation

Silvia Bucci, Francesco Cappio Borlino, Barbara Caputo +1

Vision systems trained in closed-world scenarios fail when presented with new environmental conditions, new data distributions, and novel classes at deployment time. How to move to…

cs.CV20212 cited

PoliTO-IIT Submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition

Chiara Plizzari, Mirco Planamente, Emanuele Alberti +1

In this report, we describe the technical details of our submission to the EPIC-Kitchens-100 Unsupervised Domain Adaptation (UDA) Challenge in Action Recognition. To tackle the dom…

cs.CV20216 cited

Cross-Domain First Person Audio-Visual Action Recognition through Relative Norm Alignment

Mirco Planamente, Chiara Plizzari, Emanuele Alberti +1

First person action recognition is an increasingly researched topic because of the growing popularity of wearable cameras. This is bringing to light cross-domain issues that are ye…