3 papers
cs.CV2026
Far from the Crowd: Scalable Self-Supervised Learning via Geographic Isolation
Daniele Rege Cambrin, Francesco Rossi, Mattia Varile
Self-supervised pretraining on remote sensing imagery typically treats all samples as equally informative, despite large variability in geographic and visual structure. We propose…
cs.LG2024
Optimizing Multi-Task Learning for Accurate Spacecraft Pose Estimation
Francesco Evangelisti, Francesco Rossi, Tobia Giani +2
Accurate satellite pose estimation is crucial for autonomous guidance, navigation, and control (GNC) systems in in-orbit servicing (IOS) missions. This paper explores the impact of…
cs.LG2024
Machine Learning in Space: Surveying the Robustness of on-board ML models to Radiation
Kevin Lange, Federico Fontana, Francesco Rossi +2
Modern spacecraft are increasingly relying on machine learning (ML). However, physical equipment in space is subject to various natural hazards, such as radiation, which may inhibi…