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cs.CV2024

DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification

Muhammad Ahmad, Manuel Mazzara, Salvatore Distefano +2

Hyperspectral image classification (HSIC) has gained significant attention because of its potential in analyzing high-dimensional data with rich spectral and spatial information. I…

cs.CV2024

Benchmarking of a new data splitting method on volcanic eruption data

Simona Reale, Pietro Di Stasio, Francesco Mauro +3

In this paper, a novel method for data splitting is presented: an iterative procedure divides the input dataset of volcanic eruption, chosen as the proposed use case, into two part…

eess.IV2024

SEN12-WATER: A New Dataset for Hydrological Applications and its Benchmarking

Luigi Russo, Francesco Mauro, Alessandro Sebastianelli +2

Climate change and increasing droughts pose significant challenges to water resource management around the world. These problems lead to severe water shortages that threaten ecosys…

cs.CV2024

Assessment of Spectral based Solutions for the Detection of Floating Marine Debris

Muhammad Alì, Francesca Razzano, Sergio Vitale +4

Typically, the detection of marine debris relies on in-situ campaigns that are characterized by huge human effort and limited spatial coverage. Following the need of a rapid soluti…

quant-ph2024

From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks

Andrea Ceschini, Francesco Mauro, Francesca De Falco +7

Quantum Graph Neural Networks (QGNNs) represent a novel fusion of quantum computing and Graph Neural Networks (GNNs), aimed at overcoming the computational and scalability challeng…

cs.CV2024

Transformers Fusion across Disjoint Samples for Hyperspectral Image Classification

Muhammad Ahmad, Manuel Mazzara, Salvatore Distifano

3D Swin Transformer (3D-ST) known for its hierarchical attention and window-based processing, excels in capturing intricate spatial relationships within images. Spatial-spectral Tr…