88 citations · 157 across the 11 of their papers we have counts for
6 papers · 1 filter
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…
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…
Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing
Leonardo Rossi, Akbar Karimi, Andrea Prati
Within the field of instance segmentation, most of the state-of-the-art deep learning networks rely nowadays on cascade architectures, where multiple object detectors are trained s…
A novel Region of Interest Extraction Layer for Instance Segmentation
Leonardo Rossi, Akbar Karimi, Andrea Prati
Given the wide diffusion of deep neural network architectures for computer vision tasks, several new applications are nowadays more and more feasible. Among them, a particular atte…