The author proposes a novel approach to event-based motion segmentation in complex outdoor scenes, emphasizing the importance of ego-motion compensation and temporal attention modules to enhance performance significantly.
A novel Graph Transformer Neural Network (GTNN) algorithm is proposed for efficient event-based motion segmentation without requiring prior knowledge about the scene geometry or camera motion.