Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds

We propose a novel, conceptually simple and general framework for instance segmentation on 3D point clouds. Our method, called 3D-BoNet, follows the simple design philosophy of per-point multilayer perceptrons (MLPs)... (read more)

PDF Abstract NeurIPS 2019 PDF NeurIPS 2019 Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
3D Instance Segmentation S3DIS 3D-BoNet mRec 47.6 # 7
mPrec 65.6 # 6
3D Instance Segmentation ScanNet(v2) 3D-BoNet mRec 47.6 # 2
Mean AP @ 0.5 48.8 # 5
mAP 25.3 # 5

Methods used in the Paper


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