Broadcast-and-Mixing Transformer for 3D Semantic Segmentation
Transformers have shown great promise in various point cloud comprehension tasks, but still face challenges due to the quadratic computational and memory cost when dealing with large-scale 3D point clouds. Many recent studies focus on reducing these costs and improving model performance by solely applying restricted lo...