| GeomGCNN |
- Instance Average IoU
- 89.1
|
Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks 2021-03-28 |
연결 없음 |
| Ours |
- Instance Average IoU
- 88.1
|
Beyond local patches: Preserving global–local interactions by enhancing self-attention via 3D point cloud tokenization 2024-11-01 |
연결 없음 |
| AVS-Net |
- Class Average IoU
- 85.7
- Instance Average IoU
- 87.3
|
AVS-Net: Point Sampling with Adaptive Voxel Size for 3D Scene Understanding 2024-02-27 |
코드 1 |
| SPoTr |
- Class Average IoU
- 85.4
- Instance Average IoU
- 87.2
|
Self-positioning Point-based Transformer for Point Cloud Understanding 2023-03-29 |
코드 1 |
| PointNeXt |
- Class Average IoU
- 85.2
- Instance Average IoU
- 87.1
|
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies 2022-06-09 |
코드 1 · 코드 2 · 코드 3 |
| Diffusion Unit |
- Class Average IoU
- 85.2
- Instance Average IoU
- 87.1
|
Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation 2022-09-20 |
코드 1 |
| CurveNet+GAM |
- Instance Average IoU
- 87.0
|
$(0, 4)$ dualities 2015-12-14 |
연결 없음 |
| AGCN |
- Class Average IoU
- 85.7
- Instance Average IoU
- 86.9
|
AGCN: Adversarial Graph Convolutional Network for 3D Point Cloud Segmentation 2021-11-25 |
코드 1 · 코드 2 |
| PointMLP+TAP |
- Class Average IoU
- 85.2
- Instance Average IoU
- 86.9
|
Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models 2023-07-27 |
코드 1 |
| DeltaConv (U-ResNet) |
- Instance Average IoU
- 86.9
|
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds 2021-11-16 |
코드 1 |
| PointVector-S(C=64) |
- Instance Average IoU
- 86.9
|
PointVector: A Vector Representation In Point Cloud Analysis 2022-05-21 |
코드 1 |
| OTMae3D |
- Class Average IoU
- 85.1
- Instance Average IoU
- 86.8
|
Rethinking Masked Representation Learning for 3D Point Cloud Understanding 2024-12-26 |
코드 1 |
| Spherical Kernel |
- Class Average IoU
- 84.9
- Instance Average IoU
- 86.8
|
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds 2019-09-20 |
코드 1 · 코드 2 · 코드 3 |
| Ps-CNN |
- Class Average IoU
- 83.4
- Instance Average IoU
- 86.8
|
Octree guided CNN with Spherical Kernels for 3D Point Clouds 2019-02-28 |
연결 없음 |
| CurveNet |
- Instance Average IoU
- 86.8
|
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis 2021-05-04 |
코드 1 · 코드 2 · 코드 3 |
| MKConv |
- Instance Average IoU
- 86.7
|
MKConv: Multidimensional Feature Representation for Point Cloud Analysis 2021-07-27 |
연결 없음 |
| Feature Geometric Net (FG-Net) |
- Class Average IoU
- 87.7
- Instance Average IoU
- 86.6
|
FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware Modelling 2020-12-17 |
코드 1 |
| PointGPT |
- Class Average IoU
- 84.8
- Instance Average IoU
- 86.6
|
연결 없음 논문 날짜 미기재 |
연결 없음 |
| PointTransformer |
- Class Average IoU
- 83.7
- Instance Average IoU
- 86.6
|
Point Transformer 2020-12-16 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 · 코드 10 · 코드 11 · 코드 12 · 코드 13 · 코드 14 · 코드 15 · 코드 16 · 코드 17 · 코드 18 · 코드 19 · 코드 20 · 코드 21 · 코드 22 · 코드 23 · 코드 24 |
| DeltaNet |
- Instance Average IoU
- 86.6
|
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds 2021-11-16 |
코드 1 |
| GDANet |
- Class Average IoU
- 85.0
- Instance Average IoU
- 86.5
|
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud 2020-12-20 |
코드 1 · 코드 2 · 코드 3 |
| ODFNet |
- Class Average IoU
- 83.3
- Instance Average IoU
- 86.5
|
ODFNet: Using orientation distribution functions to characterize 3D point clouds 2020-12-08 |
코드 1 |
| Point Voxel Transformer |
- Instance Average IoU
- 86.5
|
PVT: Point-Voxel Transformer for Point Cloud Learning 2021-08-13 |
코드 1 · 코드 2 |
| P2P |
- Instance Average IoU
- 86.5
|
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting 2022-08-04 |
코드 1 |
| KPConv |
- Class Average IoU
- 85.1
- Instance Average IoU
- 86.4
|
KPConv: Flexible and Deformable Convolution for Point Clouds 2019-04-18 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 · 코드 10 |
| DensePoint |
- Class Average IoU
- 84.2
- Instance Average IoU
- 86.4
|
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing 2019-09-09 |
코드 1 |
| DRNet |
- Class Average IoU
- 83.7
- Instance Average IoU
- 86.4
|
Dense-Resolution Network for Point Cloud Classification and Segmentation 2020-05-14 |
코드 1 |
| PointGrid |
- Class Average IoU
- 82.2
- Instance Average IoU
- 86.4
|
PointGrid: A Deep Network for 3D Shape Understanding 2018-06-01 |
코드 1 |
| Point Cloud Transformer |
- Instance Average IoU
- 86.4
|
PCT: Point cloud transformer 2020-12-17 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 · 코드 10 · 코드 11 |
| point2vec |
- Class Average IoU
- 84.6
- Instance Average IoU
- 86.3
|
Point2Vec for Self-Supervised Representation Learning on Point Clouds 2023-03-29 |
코드 1 |