The author proposes the Region-Transformer model, combining self-attention with region-growing for class-agnostic point cloud segmentation, demonstrating superior performance over existing methods.
Region-Transformer combines self-attention and region-growth for class-agnostic point cloud segmentation, outperforming previous methods.