OpenCodePapers
supervised-only-3d-point-cloud-classification
3D Point Cloud Reconstruction
3D Point Cloud Classification
Supervised Only 3D Point Cloud Classification
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Paper
Code
Overall Accuracy (PB_T50_RS)
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GFLOPs
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Number of params (M)
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ModelName
ReleaseDate
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Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model
✓ Link
92.64
3.9
16.9
Mamba3D
2024-04-23
Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model
✓ Link
91.81
3.9
16.9
Mamba3D (no voting)
2024-04-23
Decoupled Local Aggregation for Point Cloud Learning
✓ Link
90.4
1.5
5.3
DeLA
2023-08-31
Self-positioning Point-based Transformer for Point Cloud Understanding
✓ Link
88.6
10.8
1.7
SPoTr
2023-03-29
Point Cloud Mamba: Point Cloud Learning via State Space Model
✓ Link
88.1
45.0
34.2
PCM
2024-03-01
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
✓ Link
87.8
3.6
1.4
PointNeXt
2022-06-09
Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
✓ Link
87.1
0.8
Point-PN
2023-03-14
Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework
✓ Link
85.4
31.4
12.6
PointMLP
2022-02-15
Dynamic Graph CNN for Learning on Point Clouds
✓ Link
78.1
2.4
1.8
DGCNN
2018-01-24
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
✓ Link
77.9
1.7
1.5
PointNet++
2017-06-07
Attention Is All You Need
✓ Link
77.24
4.8
22.1
Transformer
2017-06-12
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
✓ Link
68.0
0.5
3.5
PointNet
2016-12-02