3 papers
cs.CV2026
On-Board Anomaly Detection for Efficient Marine Environmental Monitoring
Thomas Goudemant, Clotilde Szywala, Benjamin Francesconi +4
Marine ecosystems are impacted by various threats such as oil spills, algal blooms, and sediment floods, which disrupt habitats, wildlife, and human activities. Advances in satelli…
cs.CV2025
Explaining raw data complexity to improve satellite onboard processing
Adrien Dorise, Marjorie Bellizzi, Adrien Girard +2
With increasing processing power, deploying AI models for remote sensing directly onboard satellites is becoming feasible. However, new constraints arise, mainly when using raw, un…
cs.CV2024
On Reducing Activity with Distillation and Regularization for Energy Efficient Spiking Neural Networks
Thomas Louis, Benoit Miramond, Alain Pegatoquet +1
Interest in spiking neural networks (SNNs) has been growing steadily, promising an energy-efficient alternative to formal neural networks (FNNs), commonly known as artificial neura…