HyperAI
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الدروس
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نماذج LLM
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المنصة
الرئيسية
SOTA
تقسيم الأجزاء ثلاثية الأبعاد
3D Part Segmentation On Shapenet Part
3D Part Segmentation On Shapenet Part
المقاييس
Class Average IoU
Instance Average IoU
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
Class Average IoU
Instance Average IoU
Paper Title
GeomGCNN
-
89.1
Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks
Ours
-
88.1
Beyond local patches: Preserving global–local interactions by enhancing self-attention via 3D point cloud tokenization
AVS-Net
85.7
87.3
AVS-Net: Point Sampling with Adaptive Voxel Size for 3D Scene Understanding
SPoTr
85.4
87.2
Self-positioning Point-based Transformer for Point Cloud Understanding
Diffusion Unit
85.2
87.1
Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation
PointNeXt
85.2
87.1
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
CurveNet+GAM
-
87.0
$(0, 4)$ dualities
DeltaConv (U-ResNet)
-
86.9
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds
PointMLP+TAP
85.2
86.9
Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models
AGCN
85.7
86.9
AGCN: Adversarial Graph Convolutional Network for 3D Point Cloud Segmentation
PointVector-S(C=64)
-
86.9
PointVector: A Vector Representation In Point Cloud Analysis
CurveNet
-
86.8
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
Ps-CNN
83.4
86.8
Octree guided CNN with Spherical Kernels for 3D Point Clouds
OTMae3D
85.1
86.8
-
Spherical Kernel
84.9
86.8
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds
MKConv
-
86.7
MKConv: Multidimensional Feature Representation for Point Cloud Analysis
PointGPT
84.8
86.6
-
PointTransformer
83.7
86.6
Point Transformer
Feature Geometric Net (FG-Net)
87.7
86.6
FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware Modelling
DeltaNet
-
86.6
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds
0 of 67 row(s) selected.
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