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.
Mambamos: Lidar-based 3d moving object segmentation with motion- aware state space model.arXiv preprint arXiv:2404.12794
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The paper consolidates existing research on Mamba models, their architecture variants, adaptations to different data modalities, and applications across domains.
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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.
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A Survey of Mamba
The paper consolidates existing research on Mamba models, their architecture variants, adaptations to different data modalities, and applications across domains.