Semantic Segmentation on S3DIS

Metric: Params (M) (higher is better)

LeaderboardDataset

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Results

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#	Model↕	Params (M)▼	Extra Data	Paper	Date↕	Code
1	PointNeXt-XL	41.6	No	PointNeXt: Revisiting PointNet++ with Improved T...	2022-06-09	Code
2	DeepViewAgg	41.2	No	Learning Multi-View Aggregation In the Wild for ...	2022-04-15	Code
3	MinkowskiNet	37.9	No	4D Spatio-Temporal ConvNets: Minkowski Convoluti...	2019-04-18	Code
4	PointVector-XL	24.1	No	PointVector: A Vector Representation In Point Cl...	2022-05-21	Code
5	PointMetaBase-XXL	19.7	No	Meta Architecture for Point Cloud Analysis	2022-11-26	Code
6	KPConv	14.1	No	Point Transformer	2020-12-16	Code
7	KPConv	14.1	No	Point Transformer	2020-12-16	Code
8	WindowNorm+StratifiedTransformer	8.2	No	Window Normalization: Enhancing Point Cloud Unde...	2022-12-05	Code
9	WindowNorm+PointTransformer	8	No	Window Normalization: Enhancing Point Cloud Unde...	2022-12-05	Code
10	PointTransformer	7.8	No	Point Transformer	2020-12-16	Code
11	PointNeXt-L	7.1	No	PointNeXt: Revisiting PointNet++ with Improved T...	2022-06-09	Code
12	ConvPoint	4.1	No	ConvPoint: Continuous Convolutions for Point Clo...	2019-04-04	Code
13	RandLA-Net	1.2	No	RandLA-Net: Efficient Semantic Segmentation of L...	2019-11-25	Code
14	RepSurf-U	0.97	No	Surface Representation for Point Clouds	2022-05-11	Code
15	SSP+SPG	0.29	No	Point Cloud Oversegmentation with Graph-Structur...	2019-04-03	Code
16	SPG	0.29	No	Large-scale Point Cloud Semantic Segmentation wi...	2017-11-27	Code
17	Superpoint Transformer	0.212	No	Efficient 3D Semantic Segmentation with Superpoi...	2023-06-13	Code
18	SuperCluster	0.21	No	Scalable 3D Panoptic Segmentation As Superpoint ...	2024-01-12	Code
19	SuperCluster	0.21	No	Scalable 3D Panoptic Segmentation As Superpoint ...	2024-01-12	Code

#1PointNeXt-XLSOTA
41.6
Params (M)· 2022-06-09
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies Code
#2DeepViewAggSOTA
41.2
Params (M)· 2022-04-15
Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation Code
#3MinkowskiNetSOTA
37.9
Params (M)· 2019-04-18
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks Code
#4PointVector-XL
24.1
Params (M)· 2022-05-21
PointVector: A Vector Representation In Point Cloud Analysis Code
#5PointMetaBase-XXL
19.7
Params (M)· 2022-11-26
Meta Architecture for Point Cloud Analysis Code
#6KPConv
14.1
Params (M)· 2020-12-16
Point Transformer Code
#7KPConv
14.1
Params (M)· 2020-12-16
Point Transformer Code
#8WindowNorm+StratifiedTransformer
8.2
Params (M)· 2022-12-05
Window Normalization: Enhancing Point Cloud Understanding by Unifying Inconsistent Point Densities Code
#9WindowNorm+PointTransformer
8
Params (M)· 2022-12-05
Window Normalization: Enhancing Point Cloud Understanding by Unifying Inconsistent Point Densities Code
#10PointTransformer
7.8
Params (M)· 2020-12-16
Point Transformer Code
#11PointNeXt-L
7.1
Params (M)· 2022-06-09
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies Code
#12ConvPointSOTA
4.1
Params (M)· 2019-04-04
ConvPoint: Continuous Convolutions for Point Cloud Processing Code
#13RandLA-Net
1.2
Params (M)· 2019-11-25
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds Code
#14RepSurf-U
0.97
Params (M)· 2022-05-11
Surface Representation for Point Clouds Code
#15SSP+SPG
0.29
Params (M)· 2019-04-03
Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning Code
#16SPGSOTA
0.29
Params (M)· 2017-11-27
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs Code
#17Superpoint Transformer
0.212
Params (M)· 2023-06-13
Efficient 3D Semantic Segmentation with Superpoint Transformer Code
#18SuperCluster
0.21
Params (M)· 2024-01-12
Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering Code
#19SuperCluster
0.21
Params (M)· 2024-01-12
Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering Code