Learning Gaussian Instance Segmentation in Point Clouds

This paper presents a novel method for instance segmentation of 3D point clouds. The proposed method is called Gaussian Instance Center Network (GICN), which can approximate the distributions of instance centers scattered in the whole scene as Gaussian center heatmaps... (read more)

PDF Abstract

Datasets


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
3D Instance Segmentation S3DIS GICN mRec 50.8 # 5
mPrec 68.5 # 3
3D Instance Segmentation ScanNet(v2) GICN Mean AP @ 0.5 63.8 # 1

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet