Adding Superpoint Transformer

README.md

@@ -601,6 +601,7 @@ to successfully design systems architecture.
 * [Votenet](https://github.com/facebookresearch/votenet) - Deep Hough Voting for 3D Object Detection in Point Clouds.
 * [lidar_undistortion](https://github.com/ethz-asl/lidar_undistortion) - Provides lidar motion undistortion based on an external 6DoF pose estimation input.
 * [superpoint_graph](https://github.com/loicland/superpoint_graph) - Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs.
+* [superpoint_transformer](https://github.com/drprojects/superpoint_transformer) - An efficient superpoint and attention-based model for highly scalable semantic and panoptic segmentation.
 * [RandLA-Net](https://github.com/QingyongHu/RandLA-Net) - Efficient Semantic Segmentation of Large-Scale Point Clouds.
 * [Det3D](https://github.com/poodarchu/Det3D) - A first 3D Object Detection toolbox which provides off the box implementations of many 3D object detection algorithms such as PointPillars, SECOND, PIXOR.
 * [OverlapNet](https://github.com/PRBonn/OverlapNet) - A modified Siamese Network that predicts the overlap and relative yaw angle of a pair of range images generated by 3D LiDAR scans.
@@ -619,7 +620,6 @@ to successfully design systems architecture.
 * [urban_road_filter](https://github.com/jkk-research/urban_road_filter) - Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles.
 * [Removert](https://github.com/irapkaist/removert) - Remove then revert. Static map construction in the wild and dynamic points removing tool by constructing a static map.
 * [KISS-ICP](https://github.com/PRBonn/kiss-icp) - A LiDAR Odometry pipeline that just works on most of the cases without tunning any parameter.
-* [Superpoint Transformer](https://github.com/drprojects/superpoint_transformer) - An efficient model for highly scalable semantic and panoptic segmentation.
 
 ## Localization and State Estimation
 * [evo](https://github.com/MichaelGrupp/evo) - Python package for the evaluation of odometry and SLAM.