Stacked PFE architecture just as PointNet++ Pyramid PFE architecture Assume the first point feature encoder is deep enough. Use pyramid pooling to get multi-scale features. Unlike PointNet++ where ...
Abstract: Radar target detection on the sea surface is challenging due to the influence of sea clutter. Traditional radar target detection methods cannot model the sea clutter distributions precisely, ...
Abstract: PointNet, which is the widely used point-wise embedding method and known as a universal approximator for continuous set functions, can process one million points per second. Nevertheless, ...
PointNet++ is a nice feature extractor for point cloud data. The extracted feature points are good candidates for feature matching. SuperGlue is a GNN-based feature matching middle-end. It is ...
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