Semantic Segmentation on Toronto-3D L002

Metric: mIoU (higher is better)

LeaderboardDataset

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#	Model↕	mIoU▼	Extra Data	Paper	Date↕	Code
1	EyeNet	81.13	No	Human Vision Based 3D Point Cloud Semantic Segme...	2023-01-30	Code
2	RandLA-Net	74.3	No	RandLA-Net: Efficient Semantic Segmentation of L...	2019-11-25	Code
3	CLOUDSPAM	71.8	Yes	-	-	Code
4	DA-supervised	69.3	No	-	-	Code
5	PointNet++	56.5	No	PointNet++: Deep Hierarchical Feature Learning o...	2017-06-07	Code

#1EyeNetSOTA
81.13
mIoU· 2023-01-30
Human Vision Based 3D Point Cloud Semantic Segmentation of Large-Scale Outdoor Scene Code
#2RandLA-NetSOTA
74.3
mIoU· 2019-11-25
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds Code
#3CLOUDSPAM
71.8
mIoU· Extra Data
No paperCode
#4DA-supervised
69.3
mIoU
No paperCode
#5PointNet++SOTA
56.5
mIoU· 2017-06-07
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space Code