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3D Point Cloud Classification
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ModelNet40
3D Point Cloud Classification on ModelNet40
Metric: Mean Accuracy (higher is better)
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Model name (A→Z)
#
Model
↕
Mean Accuracy
▼
Extra Data
Paper
Date
↕
Code
1
ULIP + PointMLP
92.4
Yes
ULIP: Learning a Unified Representation of Langu...
2022-12-10
Code
2
DeLA
92.2
No
Decoupled Local Aggregation for Point Cloud Lear...
2023-08-31
Code
3
MVTN
92.2
No
MVTN: Multi-View Transformation Network for 3D S...
2020-11-26
Code
4
point2vec
92
Yes
Point2Vec for Self-Supervised Representation Lea...
2023-03-29
Code
5
PointMLP+HyCoRe
91.9
No
Rethinking the compositionality of point clouds ...
2022-09-21
Code
6
SimpleView
91.8
No
-
-
Code
7
IAE + DGCNN
91.6
Yes
Implicit Autoencoder for Point-Cloud Self-Superv...
2022-01-03
Code
8
PTv2
91.6
No
Point Transformer V2: Grouped Vector Attention a...
2022-10-11
Code
9
P2P
91.6
Yes
P2P: Tuning Pre-trained Image Models for Point C...
2022-08-04
Code
10
PointMLP
91.4
No
Rethinking Network Design and Local Geometry in ...
2022-02-15
Code
11
PointSCNet
91.4
No
PointSCNet: Point Cloud Structure and Correlatio...
2022-02-21
Code
12
PointMixer
91.4
No
PointMixer: MLP-Mixer for Point Cloud Understand...
2021-11-22
Code
13
VRN (multiple views)
91.33
No
Generative and Discriminative Voxel Modeling wit...
2016-08-15
Code
14
PointNet2+PointCMT
91.2
No
Let Images Give You More:Point Cloud Cross-Modal...
2022-10-09
Code
15
PRA-Net
91.2
No
PRA-Net: Point Relation-Aware Network for 3D Poi...
2021-12-09
Code
16
ULIP + PointNet++(ssg)
91.2
Yes
ULIP: Learning a Unified Representation of Langu...
2022-12-10
Code
17
PointNeXt
91.1
No
PointNeXt: Revisiting PointNet++ with Improved T...
2022-06-09
Code
18
Feature Geometric Net (FG-Net)
91.1
No
FG-Net: Fast Large-Scale LiDAR Point Clouds Unde...
2020-12-17
Code
19
GBNet
91
No
Geometric Back-projection Network for Point Clou...
2019-11-28
Code
20
PointVector-S
91
No
PointVector: A Vector Representation In Point Cl...
2022-05-21
Code
21
DeepGCN
90.9
No
DeepGCNs: Making GCNs Go as Deep as CNNs
2019-10-15
Code
22
OGNet + MD
90.71
No
Self-supervised Point Cloud Representation Learn...
2021-09-01
Code
23
LCPFormer
90.7
No
LCPFormer: Towards Effective 3D Point Cloud Anal...
2022-10-23
Code
24
PointTransformer
90.6
No
Point Transformer
2020-12-16
Code
25
OG-Net-Small
90.5
No
Parameter-Efficient Person Re-identification in ...
2020-06-08
Code
26
Point-PlaneNet
90.5
No
-
-
Code
27
PointManifold
90.4
No
PointManifold: Using Manifold Learning for Point...
2020-10-14
-
28
DGCNN
90.2
No
Dynamic Graph CNN for Learning on Point Clouds
2018-01-24
Code
29
DGCNN + MD
89.88
No
Self-supervised Point Cloud Representation Learn...
2021-09-01
Code
30
PointStack
89.6
No
Advanced Feature Learning on Point Clouds using ...
2022-05-20
Code
31
VRN (single view)
88.98
No
Generative and Discriminative Voxel Modeling wit...
2016-08-15
Code
32
PointNet
86
No
PointNet: Deep Learning on Point Sets for 3D Cla...
2016-12-02
Code
33
ECC
83.2
No
Dynamic Edge-Conditioned Filters in Convolutiona...
2017-04-10
Code
34
3DShapeNets
77.3
No
3D ShapeNets: A Deep Representation for Volumetr...
2014-06-22
Code
35
Perceiver
14.3
No
Perceiver: General Perception with Iterative Att...
2021-03-04
Code
#1
ULIP + PointMLP
SOTA
92.4
Mean Accuracy
· Extra Data
· 2022-12-10
ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding
Code
#2
DeLA
92.2
Mean Accuracy
· 2023-08-31
Decoupled Local Aggregation for Point Cloud Learning
Code
#3
MVTN
SOTA
92.2
Mean Accuracy
· 2020-11-26
MVTN: Multi-View Transformation Network for 3D Shape Recognition
Code
#4
point2vec
92
Mean Accuracy
· Extra Data
· 2023-03-29
Point2Vec for Self-Supervised Representation Learning on Point Clouds
Code
#5
PointMLP+HyCoRe
91.9
Mean Accuracy
· 2022-09-21
Rethinking the compositionality of point clouds through regularization in the hyperbolic space
Code
#6
SimpleView
91.8
Mean Accuracy
No paper
Code
#7
IAE + DGCNN
91.6
Mean Accuracy
· Extra Data
· 2022-01-03
Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning
Code
#8
PTv2
91.6
Mean Accuracy
· 2022-10-11
Point Transformer V2: Grouped Vector Attention and Partition-based Pooling
Code
#9
P2P
91.6
Mean Accuracy
· Extra Data
· 2022-08-04
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting
Code
#10
PointMLP
91.4
Mean Accuracy
· 2022-02-15
Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework
Code
#11
PointSCNet
91.4
Mean Accuracy
· 2022-02-21
PointSCNet: Point Cloud Structure and Correlation Learning Based on Space Filling Curve-Guided Sampling
Code
#12
PointMixer
91.4
Mean Accuracy
· 2021-11-22
PointMixer: MLP-Mixer for Point Cloud Understanding
Code
#13
VRN (multiple views)
SOTA
91.33
Mean Accuracy
· 2016-08-15
Generative and Discriminative Voxel Modeling with Convolutional Neural Networks
Code
#14
PointNet2+PointCMT
91.2
Mean Accuracy
· 2022-10-09
Let Images Give You More:Point Cloud Cross-Modal Training for Shape Analysis
Code
#15
PRA-Net
91.2
Mean Accuracy
· 2021-12-09
PRA-Net: Point Relation-Aware Network for 3D Point Cloud Analysis
Code
#16
ULIP + PointNet++(ssg)
91.2
Mean Accuracy
· Extra Data
· 2022-12-10
ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding
Code
#17
PointNeXt
91.1
Mean Accuracy
· 2022-06-09
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
Code
#18
Feature Geometric Net (FG-Net)
91.1
Mean Accuracy
· 2020-12-17
FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware Modelling
Code
#19
GBNet
91
Mean Accuracy
· 2019-11-28
Geometric Back-projection Network for Point Cloud Classification
Code
#20
PointVector-S
91
Mean Accuracy
· 2022-05-21
PointVector: A Vector Representation In Point Cloud Analysis
Code
#21
DeepGCN
90.9
Mean Accuracy
· 2019-10-15
DeepGCNs: Making GCNs Go as Deep as CNNs
Code
#22
OGNet + MD
90.71
Mean Accuracy
· 2021-09-01
Self-supervised Point Cloud Representation Learning via Separating Mixed Shapes
Code
#23
LCPFormer
90.7
Mean Accuracy
· 2022-10-23
LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in Transformers
Code
#24
PointTransformer
90.6
Mean Accuracy
· 2020-12-16
Point Transformer
Code
#25
OG-Net-Small
90.5
Mean Accuracy
· 2020-06-08
Parameter-Efficient Person Re-identification in the 3D Space
Code
#26
Point-PlaneNet
90.5
Mean Accuracy
No paper
Code
#27
PointManifold
90.4
Mean Accuracy
· 2020-10-14
PointManifold: Using Manifold Learning for Point Cloud Classification
#28
DGCNN
90.2
Mean Accuracy
· 2018-01-24
Dynamic Graph CNN for Learning on Point Clouds
Code
#29
DGCNN + MD
89.88
Mean Accuracy
· 2021-09-01
Self-supervised Point Cloud Representation Learning via Separating Mixed Shapes
Code
#30
PointStack
89.6
Mean Accuracy
· 2022-05-20
Advanced Feature Learning on Point Clouds using Multi-resolution Features and Learnable Pooling
Code
#31
VRN (single view)
88.98
Mean Accuracy
· 2016-08-15
Generative and Discriminative Voxel Modeling with Convolutional Neural Networks
Code
#32
PointNet
86
Mean Accuracy
· 2016-12-02
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Code
#33
ECC
83.2
Mean Accuracy
· 2017-04-10
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
Code
#34
3DShapeNets
SOTA
77.3
Mean Accuracy
· 2014-06-22
3D ShapeNets: A Deep Representation for Volumetric Shapes
Code
#35
Perceiver
14.3
Mean Accuracy
· 2021-03-04
Perceiver: General Perception with Iterative Attention
Code