2 papers
cs.RO2024
Leveraging Event Streams with Deep Reinforcement Learning for End-to-End UAV Tracking
Ala Souissi, Hajer Fradi, Panagiotis Papadakis
In this paper, we present our proposed approach for active tracking to increase the autonomy of Unmanned Aerial Vehicles (UAVs) using event cameras, low-energy imaging sensors that…
cs.LG2024
Feature Expansion and enhanced Compression for Class Incremental Learning
Quentin Ferdinand, Gilles Le Chenadec, Benoit Clement +2
Class incremental learning consists in training discriminative models to classify an increasing number of classes over time. However, doing so using only the newly added class data…