A hybrid point cloud classifier with non-learnable positional encodings and a tiny learnable classifier reaches competitive accuracy with 0.8M parameters.
A camera and lidar data fusion method for railway object detection,
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Point-LN: A Lightweight Framework for Efficient Point Cloud Classification Using Non-Parametric Positional Encoding
A hybrid point cloud classifier with non-learnable positional encodings and a tiny learnable classifier reaches competitive accuracy with 0.8M parameters.