OpenCodePapers

supervised-only-3d-point-cloud-classification

3D Point Cloud ClassificationSupervised Only 3D Point Cloud Classification
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PaperCodeOverall Accuracy (PB_T50_RS)GFLOPsNumber of params (M)ModelNameReleaseDate
Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model✓ Link92.643.916.9Mamba3D2024-04-23
Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model✓ Link91.813.916.9Mamba3D (no voting)2024-04-23
Decoupled Local Aggregation for Point Cloud Learning✓ Link90.41.55.3DeLA2023-08-31
Self-positioning Point-based Transformer for Point Cloud Understanding✓ Link88.610.81.7SPoTr2023-03-29
Point Cloud Mamba: Point Cloud Learning via State Space Model✓ Link88.145.034.2PCM2024-03-01
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies✓ Link87.83.61.4PointNeXt2022-06-09
Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis✓ Link87.10.8Point-PN2023-03-14
Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework✓ Link85.431.412.6PointMLP2022-02-15
Dynamic Graph CNN for Learning on Point Clouds✓ Link78.12.41.8DGCNN2018-01-24
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space✓ Link77.91.71.5PointNet++2017-06-07
Attention Is All You Need✓ Link77.244.822.1Transformer2017-06-12
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation✓ Link68.00.53.5PointNet2016-12-02
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