most cited3D Learnable Supertoken Transformer for LiDAR Point Cloud Scene Segmentation

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cs.CV2024

Efficient Point Transformer with Dynamic Token Aggregating for LiDAR Point Cloud Processing

Dening Lu, Jun Zhou, Kyle +3

Recently, LiDAR point cloud processing and analysis have made great progress due to the development of 3D Transformers. However, existing 3D Transformer methods usually are computa…

cs.CV2024★ 2 cited

3D Learnable Supertoken Transformer for LiDAR Point Cloud Scene Segmentation

Dening Lu, Jun Zhou, Kyle Gao +2

3D Transformers have achieved great success in point cloud understanding and representation. However, there is still considerable scope for further development in effective and eff…