no code implementations • 29 Apr 2024 • Leonardo Rossi, Vittorio Bernuzzi, Tomaso Fontanini, Massimo Bertozzi, Andrea Prati
Due to the limitations of current optical and sensor technologies and the high cost of updating them, the spectral and spatial resolution of satellites may not always meet desired requirements.
1 code implementation • 25 Apr 2024 • Leonardo Rossi, Akbar Karimi, Andrea Prati
Current state-of-the-art two-stage models on instance segmentation task suffer from several types of imbalances.
1 code implementation • 21 Feb 2023 • Leonardo Rossi, Vittorio Bernuzzi, Tomaso Fontanini, Massimo Bertozzi, Andrea Prati
The ability to understand the surrounding scene is of paramount importance for Autonomous Vehicles (AVs).
no code implementations • 21 Jun 2022 • Leonardo Rossi, Marco Valenti, Sara Elisabetta Legler, Andrea Prati
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 identify plant organs and the possible diseases associated with them, allows to effectively scale and automate crop monitoring and its diseases control.
Ranked #1 on Instance Segmentation on LDD
1 code implementation • 21 Jun 2022 • 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 and time-consuming task.
1 code implementation • Findings (EMNLP) 2021 • Akbar Karimi, Leonardo Rossi, Andrea Prati
This is an easier technique to implement for data augmentation than EDA method (Wei and Zou, 2019) with which we compare our results.
1 code implementation • 3 Apr 2021 • 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 sequentially, re-sampling the ground truth at each step.
Ranked #1 on Instance Segmentation on coco minval
1 code implementation • SEMEVAL 2021 • Akbar Karimi, Leonardo Rossi, Andrea Prati
We tackle this problem utilizing a combination of a state-of-the-art pre-trained language model (CharacterBERT) and a traditional bag-of-words technique.
2 code implementations • ICNLSP 2021 • Akbar Karimi, Leonardo Rossi, Andrea Prati
Aspect-Based Sentiment Analysis (ABSA) studies the consumer opinion on the market products.
Ranked #3 on Aspect Extraction on SemEval-2014 Task-4
5 code implementations • 28 Apr 2020 • 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.
Ranked #81 on Instance Segmentation on COCO minival
4 code implementations • 30 Jan 2020 • Akbar Karimi, Leonardo Rossi, Andrea Prati
In this work, we apply adversarial training, which was put forward by Goodfellow et al. (2014), to the post-trained BERT (BERT-PT) language model proposed by Xu et al. (2019) on the two major tasks of Aspect Extraction and Aspect Sentiment Classification in sentiment analysis.
Ranked #4 on Aspect Extraction on SemEval-2014 Task-4