2 papers
cs.CV2026
A Comparative Study of Transformer and Convolutional Models for Crop Segmentation from Satellite Image Time Series
Mattia Gatti, Ignazio Gallo, Nicola Landro +4
Crop segmentation from satellite image time series (SITS) is a fundamental task for agricultural monitoring and land-use analysis. While convolutional neural networks (CNNs) have b…
cs.CV2025
EnGraf-Net: Multiple Granularity Branch Network with Fine-Coarse Graft Grained for Classification Task
Riccardo La Grassa, Ignazio Gallo, Nicola Landro
Fine-grained classification models are designed to focus on the relevant details necessary to distinguish highly similar classes, particularly when intra-class variance is high and…