DM3D introduces offset-guided differentiable scanning and continuity-aware state updates in a Mamba-based model to achieve state-of-the-art or competitive performance on point cloud classification, few-shot learning, and part segmentation.
A novel radar point cloud generation method for robot envi- ronment perception.IEEE Transactions on Robotics, 38(6): 3754–3773
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DM3D: Deformable Mamba via Offset-Guided Differentiable Scanning for Point Cloud Understanding
DM3D introduces offset-guided differentiable scanning and continuity-aware state updates in a Mamba-based model to achieve state-of-the-art or competitive performance on point cloud classification, few-shot learning, and part segmentation.