88 citations · 157 across the 11 of their papers we have counts for
12 papers
Self-Balanced R-CNN for Instance Segmentation
Leonardo Rossi, Akbar Karimi, Andrea Prati
Current state-of-the-art two-stage models on instance segmentation task suffer from several types of imbalances. In this paper, we address the Intersection over the Union (IoU) dis…
Incremental procedural and sensorimotor learning in cognitive humanoid robots
Leonardo de Lellis Rossi, Leticia Mara Berto, Eric Rohmer +4
The ability to automatically learn movements and behaviors of increasing complexity is a long-term goal in autonomous systems. Indeed, this is a very complex problem that involves…
Memory-augmented Online Video Anomaly Detection
Leonardo Rossi, Vittorio Bernuzzi, Tomaso Fontanini +2
The ability to understand the surrounding scene is of paramount importance for Autonomous Vehicles (AVs). This paper presents a system capable to work in an online fashion, giving…
LDD: A Dataset for Grape Diseases Object Detection and Instance Segmentation
Leonardo Rossi, Marco Valenti, Sara Elisabetta Legler +1
The Instance Segmentation task, an extension of the well-known Object Detection task, is of great help in many areas, such as precision agriculture: being able to automatically ide…
Improving Localization for Semi-Supervised Object Detection
Leonardo Rossi, Akbar Karimi, Andrea Prati
Nowadays, Semi-Supervised Object Detection (SSOD) is a hot topic, since, while it is rather easy to collect images for creating a new dataset, labeling them is still an expensive a…
AEDA: An Easier Data Augmentation Technique for Text Classification
Akbar Karimi, Leonardo Rossi, Andrea Prati
This paper proposes AEDA (An Easier Data Augmentation) technique to help improve the performance on text classification tasks. AEDA includes only random insertion of punctuation ma…