TransUPR: A Transformer-based Plug-and-Play Uncertain Point Refiner for LiDAR Point Cloud Semantic Segmentation
Zifan Yu,Meida Chen,Zhikang Zhang,Suya You,Raghuveer Rao,Sanjeev Agarwal,Fengbo Ren,Zifan Yu,Meida Chen,Zhikang Zhang,Suya You,Raghuveer Rao,Sanjeev Agarwal,Fengbo Ren
Common image-based LiDAR point cloud semantic segmentation (LiDAR PCSS) approaches have bottlenecks resulting from the boundary-blurring problem of convolution neural networks (CNNs) and quantitation loss of spherical projection. In this work, we propose a transformer-based plug-and-play uncertain point refiner, i.e., TransUPR, to refine selected uncertain points in a learnable manner, which leads...
