PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation

CVPR 2019 Fenggen YuKun LiuYan ZhangChenyang ZhuKai Xu

Deep learning approaches to 3D shape segmentation are typically formulated as a multi-class labeling problem. Existing models are trained for a fixed set of labels, which greatly limits their flexibility and adaptivity... (read more)

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Results from the Paper


#8 best model for 3D Instance Segmentation on S3DIS (mRec metric)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
3D Instance Segmentation S3DIS PartNet mRec 43.4% # 8

Methods used in the Paper


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