29 citations · 158 across the 40 of their papers we have counts for
5 papers · 1 filter
A Response Retrieval Approach for Dialogue Using a Multi-Attentive Transformer
Matteo A. Senese, Alberto Benincasa, Barbara Caputo +1
This paper presents our work for the ninth edition of the Dialogue System Technology Challenge (DSTC9). Our solution addresses the track number four: Simulated Interactive MultiMod…
Prototype-based Incremental Few-Shot Semantic Segmentation
Fabio Cermelli, Massimiliano Mancini, Yongqin Xian +2
Semantic segmentation models have two fundamental weaknesses: i) they require large training sets with costly pixel-level annotations, and ii) they have a static output space, cons…
Adaptive-Attentive Geolocalization from few queries: a hybrid approach
Gabriele Moreno Berton, Valerio Paolicelli, Carlo Masone +1
We address the task of cross-domain visual place recognition, where the goal is to geolocalize a given query image against a labeled gallery, in the case where the query and the ga…
Towards Recognizing Unseen Categories in Unseen Domains
Massimiliano Mancini, Zeynep Akata, Elisa Ricci +1
Current deep visual recognition systems suffer from severe performance degradation when they encounter new images from classes and scenarios unseen during training. Hence, the core…
Self-Supervised Learning Across Domains
Silvia Bucci, Antonio D'Innocente, Yujun Liao +3
Human adaptability relies crucially on learning and merging knowledge from both supervised and unsupervised tasks: the parents point out few important concepts, but then the childr…