LMD0311/PointMamba
PointMamba applies State Space Model architecture to 3D point cloud processing tasks like classification and segmentation.
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PointMamba is a deep learning research project that adapts the Mamba State Space Model architecture for 3D point cloud analysis. It processes point cloud data using a sequential state space approach instead of traditional attention mechanisms. The method handles tasks such as point cloud classification and segmentation, achieving competitive results on standard benchmarks.
Frequently asked
- What is LMD0311/PointMamba?
- PointMamba applies State Space Model architecture to 3D point cloud processing tasks like classification and segmentation.
- Is PointMamba open source?
- Yes — LMD0311/PointMamba is open source, released under the Apache-2.0 license.
- What language is PointMamba written in?
- LMD0311/PointMamba is primarily written in Python.
- How popular is PointMamba?
- LMD0311/PointMamba has 547 stars on GitHub.
- Where can I find PointMamba?
- LMD0311/PointMamba is on GitHub at https://github.com/LMD0311/PointMamba.