Haocheng Wan

PatchFormer: An Efficient Point Transformer With Patch Attention

The point cloud learning community is witnesses a modeling shift from CNNs to Transformers, where pure Transformer architectures have achieved top accuracy on the major learning benchmarks. However, existing point Transformers are computationally expensive since they need to generate a large attenti…