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@@ -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.