1 code implementation • 17 Feb 2024 • Anxhelo Diko, Danilo Avola, Marco Cascio, Luigi Cinque
Vision Transformer (ViT) self-attention mechanism is characterized by feature collapse in deeper layers, resulting in the vanishing of low-level visual features.
Ranked #491 on Image Classification on ImageNet
1 code implementation • IEEE Transactions on Artificial Intelligence 2024 • Federico Fontana, Romeo Lanzino, Marco Raoul Marini, Danilo Avola, Luigi Cinque, Francesco Scarcello, Gian Luca Foresti
Neural Networks (NNs) have been driving machine learning progress in recent years, but their larger models present challenges in resource-limited environments.
Ranked #25 on Image Classification on CIFAR-10 (Top-1 Accuracy metric)
no code implementations • 26 Mar 2022 • Danilo Avola, Luigi Cinque, Alessio Fagioli, Gian Luca Foresti, Marco Raoul Marini, Alessio Mecca, Daniele Pannone
Taking medicines is a fundamental aspect to cure illnesses.
no code implementations • 18 Mar 2022 • Danilo Avola, Marco Cascio, Luigi Cinque, Alessio Fagioli, Gian Luca Foresti, Marco Raoul Marini, Daniele Pannone
Nowadays, machine and deep learning techniques are widely used in different areas, ranging from economics to biology.
no code implementations • 11 Mar 2022 • Danilo Avola, Marco Cascio, Luigi Cinque, Alessio Fagioli, Gian Luca Foresti
The latter conditions signal-based features in the visual domain to completely replace visual data.
no code implementations • 6 Oct 2021 • Danilo Avola, Luigi Cinque, Alessio Fagioli, Gian Luca Foresti
Improving existing neural network architectures can involve several design choices such as manipulating the loss functions, employing a diverse learning strategy, exploiting gradient evolution at training time, optimizing the network hyper-parameters, or increasing the architecture depth.
1 code implementation • 6 Oct 2021 • Danilo Avola, Andrea Bacciu, Luigi Cinque, Alessio Fagioli, Marco Raoul Marini, Riccardo Taiello
Over the last year, the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and its variants have highlighted the importance of screening tools with high diagnostic accuracy for new illnesses such as COVID-19.
no code implementations • 28 Sep 2021 • Danilo Avola, Luigi Cinque, Alessio Fagioli, Gian Luca Foresti, Adriano Fragomeni, Daniele Pannone
Estimating the 3D pose of a hand from a 2D image is a well-studied problem and a requirement for several real-life applications such as virtual reality, augmented reality, and hand gesture recognition.
no code implementations • 26 Aug 2021 • Giuseppe Placidi, Luigi Cinque, Daniela Iacoviello, Filippo Mignosi, Matteo Polsinelli
To date, several automated strategies for identification/segmentation of Multiple Sclerosis (MS) lesions with the use of Magnetic Resonance Imaging (MRI) have been presented, but they are outperformed by human experts, from whom they act very differently.
no code implementations • 8 Sep 2020 • Giuseppe Placidi, Luigi Cinque, Matteo Polsinelli
Artifacts, due to eye movements and blink, muscular/cardiac activity and generic electrical disturbances, have to be recognized and eliminated to allow a correct interpretation of the useful brain signals (UBS) of EEG.
no code implementations • 28 May 2020 • Danilo Avola, Luigi Cinque, Alessio Fagioli, Sebastiano Filetti, Giorgio Grani, Emanuele Rodolà
Computer-aided diagnosis (CAD) is becoming a prominent approach to assist clinicians spanning across multiple fields.
no code implementations • 24 Apr 2020 • Matteo Polsinelli, Luigi Cinque, Giuseppe Placidi
OVID-19 is a world-wide disease that has been declared as a pandemic by the World Health Organization.
no code implementations • 12 Nov 2019 • Danilo Avola, Marco Cascio, Luigi Cinque, Daniele Pannone
With the increasing need for wireless data transfer, Wi-Fi networks have rapidly grown in recent years providing high throughput and easy deployment.
Signal Processing Networking and Internet Architecture
no code implementations • 23 Jul 2019 • Danilo Avola, Luigi Cinque, Alessio Fagioli, Gian Luca Foresti, Cristiano Massaroni
In this paper, a solution for basic non-acted emotion recognition based on 3D skeleton and Deep Neural Networks (DNNs) is provided.
no code implementations • 28 Mar 2018 • Danilo Avola, Marco Bernardi, Luigi Cinque, Gian Luca Foresti, Cristiano Massaroni
In human interactions, hands are a powerful way of expressing information that, in some cases, can be used as a valid substitute for voice, as it happens in Sign Language.