Semantic Segmentation On Toronto 3D L002

mIoU

Results

Performance results of various models on this benchmark

		Paper Title	Repository
EyeNet	81.13	Human Vision Based 3D Point Cloud Semantic Segmentation of Large-Scale Outdoor Scene
RandLA-Net	74.3	RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
CLOUDSPAM	71.8	CLOUDSPAM: Contrastive Learning On Unlabeled Data for Segmentation and Pre-Training Using Aggregated Point Clouds and MoCo	-
DA-supervised	69.3	CLOUDSPAM: Contrastive Learning On Unlabeled Data for Segmentation and Pre-Training Using Aggregated Point Clouds and MoCo	-
PointNet++	56.5	PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

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