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Found 3 papers, 1 papers with code
Neuromorphic Vision-based Motion Segmentation with Graph Transformer Neural Network
Moreover, we introduce the Dynamic Object Mask-aware Event Labeling (DOMEL) approach for generating approximate ground-truth labels for event-based motion segmentation datasets.
A Neuromorphic Vision-Based Measurement for Robust Relative Localization in Future Space Exploration Missions
Driven by this necessity, this work proposes a robust relative localization system based on a fusion of neuromorphic vision-based measurements (NVBMs) and inertial measurements.
Neuromorphic Camera Denoising using Graph Neural Network-driven Transformers
Compared to existing solutions, qualitative results verified the superior capability of the proposed algorithm to eliminate noise while preserving meaningful scene events.
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