Abstract: Ego-pose estimation and 3D object tracking are two critical problems that autonomous driving systems must solve. The solutions to these problems are usually based on their respective ...
Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...
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