Semantic Segmentation on ShapeNet-Part

Metric: Instance Average IoU (higher is better)

LeaderboardDataset

Loading chart...

Results

Hide extra data

Sort:

#	Model↕	Instance Average IoU▼	Extra Data	Paper	Date↕	Code
1	GeomGCNN	89.1	No	Exploiting Local Geometry for Feature and Graph ...	2021-03-28	-
2	Ours	88.1	No	-	-	-
3	AVS-Net	87.3	No	AVS-Net: Point Sampling with Adaptive Voxel Size...	2024-02-27	Code
4	SPoTr	87.2	No	Self-positioning Point-based Transformer for Poi...	2023-03-29	Code
5	PointNeXt	87.1	No	PointNeXt: Revisiting PointNet++ with Improved T...	2022-06-09	Code
6	Diffusion Unit	87.1	No	Diffusion Unit: Interpretable Edge Enhancement a...	2022-09-20	Code
7	CurveNet+GAM	87	No	-	-	-
8	AGCN	86.9	No	-	-	Code
9	PointMLP+TAP	86.9	No	Take-A-Photo: 3D-to-2D Generative Pre-training o...	2023-07-27	Code
10	DeltaConv (U-ResNet)	86.9	No	DeltaConv: Anisotropic Operators for Geometric D...	2021-11-16	Code
11	PointVector-S(C=64)	86.9	No	PointVector: A Vector Representation In Point Cl...	2022-05-21	Code
12	OTMae3D	86.8	Yes	-	-	Code
13	Spherical Kernel	86.8	No	Spherical Kernel for Efficient Graph Convolution...	2019-09-20	Code
14	Ps-CNN	86.8	No	Octree guided CNN with Spherical Kernels for 3D ...	2019-02-28	-
15	CurveNet	86.8	No	Walk in the Cloud: Learning Curves for Point Clo...	2021-05-04	Code
16	MKConv	86.7	No	MKConv: Multidimensional Feature Representation ...	2021-07-27	-
17	Feature Geometric Net (FG-Net)	86.6	No	FG-Net: Fast Large-Scale LiDAR Point Clouds Unde...	2020-12-17	Code
18	PointGPT	86.6	Yes	-	-	-
19	PointTransformer	86.6	No	Point Transformer	2020-12-16	Code
20	DeltaNet	86.6	No	DeltaConv: Anisotropic Operators for Geometric D...	2021-11-16	Code
21	GDANet	86.5	No	Learning Geometry-Disentangled Representation fo...	2020-12-20	Code
22	ODFNet	86.5	No	ODFNet: Using orientation distribution functions...	2020-12-08	Code
23	Point Voxel Transformer	86.5	No	PVT: Point-Voxel Transformer for Point Cloud Lea...	2021-08-13	Code
24	P2P	86.5	No	P2P: Tuning Pre-trained Image Models for Point C...	2022-08-04	Code
25	KPConv	86.4	No	KPConv: Flexible and Deformable Convolution for ...	2019-04-18	Code
26	DensePoint	86.4	No	DensePoint: Learning Densely Contextual Represen...	2019-09-09	Code
27	DRNet	86.4	No	Dense-Resolution Network for Point Cloud Classif...	2020-05-14	Code
28	PointGrid	86.4	No	-	-	Code
29	Point Cloud Transformer	86.4	No	PCT: Point cloud transformer	2020-12-17	Code
30	point2vec	86.3	Yes	Point2Vec for Self-Supervised Representation Lea...	2023-03-29	Code
31	InterpCNN	86.3	No	Interpolated Convolutional Networks for 3D Point...	2019-08-13	-
32	PVCNN volumetric	86.2	No	Point-Voxel CNN for Efficient 3D Deep Learning	2019-07-08	Code
33	RS-CNN	86.2	No	Relation-Shape Convolutional Neural Network for ...	2019-04-16	Code
34	Ours	86.2	No	Exploiting Inductive Bias in Transformer for Poi...	2023-04-27	Code
35	PointCNN	86.14	No	PointCNN: Convolution On $\mathcal{X}$-Transform...	2018-01-23	Code
36	ASSANet	86.1	No	ASSANet: An Anisotropic Separable Set Abstractio...	2021-10-20	Code
37	SSCN	86	No	Submanifold Sparse Convolutional Networks	2017-06-05	Code
38	Point Transformer	85.9	No	Point Transformer	2020-11-02	Code
39	DSPoint	85.8	No	DSPoint: Dual-scale Point Cloud Recognition with...	2021-11-19	Code
40	APES (global_based downsample)	85.8	No	Attention-based Point Cloud Edge Sampling	2023-02-28	Code
41	ConvPoint	85.8	No	ConvPoint: Continuous Convolutions for Point Clo...	2019-04-04	Code
42	SGPN	85.8	No	SGPN: Similarity Group Proposal Network for 3D P...	2017-11-23	Code
43	PointConv	85.7	No	PointConv: Deep Convolutional Networks on 3D Poi...	2018-11-17	Code
44	PointNet++ + SageMix	85.7	No	SageMix: Saliency-Guided Mixup for Point Clouds	2022-10-13	Code
45	APES (local_based downsample)	85.6	No	Attention-based Point Cloud Edge Sampling	2023-02-28	Code
46	DGCNN + MD	85.5	No	Self-supervised Point Cloud Representation Learn...	2021-09-01	Code
47	SFCNN	85.4	No	-	-	-
48	DGCNN + SageMix	85.4	No	SageMix: Saliency-Guided Mixup for Point Clouds	2022-10-13	Code
49	SpiderCNN	85.3	No	SpiderCNN: Deep Learning on Point Sets with Para...	2018-03-30	Code
50	SRN	85.3	No	-	-	-
51	DGCNN	85.2	No	Dynamic Graph CNN for Learning on Point Clouds	2018-01-24	Code
52	P2Sequence	85.2	No	Point2Sequence: Learning the Shape Representatio...	2018-11-06	-
53	Point-PlaneNet	85.1	No	-	-	Code
54	3D-GCN	85.1	No	-	-	Code
55	PointNet++	85.1	No	PointNet++: Deep Hierarchical Feature Learning o...	2017-06-07	Code
56	3D-JEPA	84.93	Yes	3D-JEPA: A Joint Embedding Predictive Architectu...	2024-09-24	-
57	SO-Net	84.9	No	SO-Net: Self-Organizing Network for Point Cloud ...	2018-03-12	Code
58	SSCNN	84.7	No	SyncSpecCNN: Synchronized Spectral CNN for 3D Sh...	2016-12-02	-
59	SPLATNet 3D	84.6	No	SPLATNet: Sparse Lattice Networks for Point Clou...	2018-02-22	Code
60	3D-UNet [Cicek:2016un]	84.6	No	3D U-Net: Learning Dense Volumetric Segmentation...	2016-06-21	Code
61	3DmFV-Net	84.3	No	3D Point Cloud Classification and Segmentation u...	2017-11-22	Code
62	Point-JEPA	83.9	Yes	Point-JEPA: A Joint Embedding Predictive Archite...	2024-04-25	Code
63	PointNet	83.7	No	PointNet: Deep Learning on Point Sets for 3D Cla...	2016-12-02	Code
64	Kd-net	82.3	No	Escape from Cells: Deep Kd-Networks for the Reco...	2017-04-04	Code

#1GeomGCNNSOTA
89.1
Instance Average IoU· 2021-03-28
Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks
#2Ours
88.1
Instance Average IoU
No paper
#3AVS-Net
87.3
Instance Average IoU· 2024-02-27
AVS-Net: Point Sampling with Adaptive Voxel Size for 3D Scene Understanding Code
#4SPoTr
87.2
Instance Average IoU· 2023-03-29
Self-positioning Point-based Transformer for Point Cloud Understanding Code
#5PointNeXt
87.1
Instance Average IoU· 2022-06-09
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies Code
#6Diffusion Unit
87.1
Instance Average IoU· 2022-09-20
Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation Code
#7CurveNet+GAM
87
Instance Average IoU
No paper
#8AGCN
86.9
Instance Average IoU
No paperCode
#9PointMLP+TAP
86.9
Instance Average IoU· 2023-07-27
Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models Code
#10DeltaConv (U-ResNet)
86.9
Instance Average IoU· 2021-11-16
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds Code
#11PointVector-S(C=64)
86.9
Instance Average IoU· 2022-05-21
PointVector: A Vector Representation In Point Cloud Analysis Code
#12OTMae3D
86.8
Instance Average IoU· Extra Data
No paperCode
#13Spherical Kernel
86.8
Instance Average IoU· 2019-09-20
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds Code
#14Ps-CNNSOTA
86.8
Instance Average IoU· 2019-02-28
Octree guided CNN with Spherical Kernels for 3D Point Clouds
#15CurveNet
86.8
Instance Average IoU· 2021-05-04
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis Code
#16MKConv
86.7
Instance Average IoU· 2021-07-27
MKConv: Multidimensional Feature Representation for Point Cloud Analysis
#17Feature Geometric Net (FG-Net)
86.6
Instance Average IoU· 2020-12-17
FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware Modelling Code
#18PointGPT
86.6
Instance Average IoU· Extra Data
No paper
#19PointTransformer
86.6
Instance Average IoU· 2020-12-16
Point Transformer Code
#20DeltaNet
86.6
Instance Average IoU· 2021-11-16
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds Code
#21GDANet
86.5
Instance Average IoU· 2020-12-20
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud Code
#22ODFNet
86.5
Instance Average IoU· 2020-12-08
ODFNet: Using orientation distribution functions to characterize 3D point clouds Code
#23Point Voxel Transformer
86.5
Instance Average IoU· 2021-08-13
PVT: Point-Voxel Transformer for Point Cloud Learning Code
#24P2P
86.5
Instance Average IoU· 2022-08-04
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting Code
#25KPConv
86.4
Instance Average IoU· 2019-04-18
KPConv: Flexible and Deformable Convolution for Point Clouds Code
#26DensePoint
86.4
Instance Average IoU· 2019-09-09
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing Code
#27DRNet
86.4
Instance Average IoU· 2020-05-14
Dense-Resolution Network for Point Cloud Classification and Segmentation Code
#28PointGrid
86.4
Instance Average IoU
No paperCode
#29Point Cloud Transformer
86.4
Instance Average IoU· 2020-12-17
PCT: Point cloud transformer Code
#30point2vec
86.3
Instance Average IoU· Extra Data· 2023-03-29
Point2Vec for Self-Supervised Representation Learning on Point Clouds Code
#31InterpCNN
86.3
Instance Average IoU· 2019-08-13
Interpolated Convolutional Networks for 3D Point Cloud Understanding
#32PVCNN volumetric
86.2
Instance Average IoU· 2019-07-08
Point-Voxel CNN for Efficient 3D Deep Learning Code
#33RS-CNN
86.2
Instance Average IoU· 2019-04-16
Relation-Shape Convolutional Neural Network for Point Cloud Analysis Code
#34Ours
86.2
Instance Average IoU· 2023-04-27
Exploiting Inductive Bias in Transformer for Point Cloud Classification and Segmentation Code
#35PointCNNSOTA
86.14
Instance Average IoU· 2018-01-23
PointCNN: Convolution On $\mathcal{X}$-Transformed Points Code
#36ASSANet
86.1
Instance Average IoU· 2021-10-20
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning Code
#37SSCNSOTA
86
Instance Average IoU· 2017-06-05
Submanifold Sparse Convolutional Networks Code
#38Point Transformer
85.9
Instance Average IoU· 2020-11-02
Point Transformer Code
#39DSPoint
85.8
Instance Average IoU· 2021-11-19
DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion Code
#40APES (global_based downsample)
85.8
Instance Average IoU· 2023-02-28
Attention-based Point Cloud Edge Sampling Code
#41ConvPoint
85.8
Instance Average IoU· 2019-04-04
ConvPoint: Continuous Convolutions for Point Cloud Processing Code
#42SGPN
85.8
Instance Average IoU· 2017-11-23
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation Code
#43PointConv
85.7
Instance Average IoU· 2018-11-17
PointConv: Deep Convolutional Networks on 3D Point Clouds Code
#44PointNet++ + SageMix
85.7
Instance Average IoU· 2022-10-13
SageMix: Saliency-Guided Mixup for Point Clouds Code
#45APES (local_based downsample)
85.6
Instance Average IoU· 2023-02-28
Attention-based Point Cloud Edge Sampling Code
#46DGCNN + MD
85.5
Instance Average IoU· 2021-09-01
Self-supervised Point Cloud Representation Learning via Separating Mixed Shapes Code
#47SFCNN
85.4
Instance Average IoU
No paper
#48DGCNN + SageMix
85.4
Instance Average IoU· 2022-10-13
SageMix: Saliency-Guided Mixup for Point Clouds Code
#49SpiderCNN
85.3
Instance Average IoU· 2018-03-30
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Code
#50SRN
85.3
Instance Average IoU
No paper
#51DGCNN
85.2
Instance Average IoU· 2018-01-24
Dynamic Graph CNN for Learning on Point Clouds Code
#52P2Sequence
85.2
Instance Average IoU· 2018-11-06
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network
#53Point-PlaneNet
85.1
Instance Average IoU
No paperCode
#543D-GCN
85.1
Instance Average IoU
No paperCode
#55PointNet++
85.1
Instance Average IoU· 2017-06-07
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space Code
#563D-JEPA
84.93
Instance Average IoU· Extra Data· 2024-09-24
3D-JEPA: A Joint Embedding Predictive Architecture for 3D Self-Supervised Representation Learning
#57SO-Net
84.9
Instance Average IoU· 2018-03-12
SO-Net: Self-Organizing Network for Point Cloud Analysis Code
#58SSCNNSOTA
84.7
Instance Average IoU· 2016-12-02
SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation
#59SPLATNet 3D
84.6
Instance Average IoU· 2018-02-22
SPLATNet: Sparse Lattice Networks for Point Cloud Processing Code
#603D-UNet [Cicek:2016un]SOTA
84.6
Instance Average IoU· 2016-06-21
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation Code
#613DmFV-Net
84.3
Instance Average IoU· 2017-11-22
3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural Networks Code
#62Point-JEPA
83.9
Instance Average IoU· Extra Data· 2024-04-25
Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud Code
#63PointNet
83.7
Instance Average IoU· 2016-12-02
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation Code
#64Kd-net
82.3
Instance Average IoU· 2017-04-04
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models Code