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Found 2 papers, 1 papers with code
A Practical Large-Scale Roadside Multi-View Multi-Sensor Spatial Synchronization Framework for Intelligent Transportation Systems
To address these challenges, our research introduces a parallel spatial transformation (PST)-based framework for large-scale, multi-view, multi-sensor scenarios.
Optimizing Memory Efficiency of Graph Neural Networks on Edge Computing Platforms
Graph neural networks (GNN) have achieved state-of-the-art performance on various industrial tasks.
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