Supplementary Material for " Learning Superpoint Graph Cut for 3D Instance Segmentation " Le Hui

This supplementary material provides more details on network architecture, visualization, and ablation study of our method. We also analyze the limitation and discuss the impact of our method. D, we discuss the limitations and impacts of our method. The produced feature dimension of 3D U-Net is 32. Finally, we can obtain 32-dimensional super-point features.