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Point-voxel absorbing graph representation learning for event stream-based recognition

Sampled point- and voxel-based representations are commonly used to compress dense event streams for efficient graph-based processing, where points or voxels are treated as graph nodes and encoded using graph neural networks (GNNs). However, existing event-based GNNs suffer from two main limitations. (1) they typically...

Xiao Wang, Bo Jiang, Jin Tang · 0 citations

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