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SOTA
三维零件分割
3D Part Segmentation On Shapenet Part
3D Part Segmentation On Shapenet Part
评估指标
Class Average IoU
Instance Average IoU
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Class Average IoU
Instance Average IoU
Paper Title
Repository
InterpCNN
84.0
86.3
Interpolated Convolutional Networks for 3D Point Cloud Understanding
-
Point Voxel Transformer
-
86.5
PVT: Point-Voxel Transformer for Point Cloud Learning
-
Point-JEPA
85.8±0.1
-
Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud
-
SSCNN
82.0
84.7
SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation
-
Point Cloud Transformer
-
86.4
PCT: Point cloud transformer
-
DensePoint
84.2
86.4
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing
-
CurveNet
-
86.8
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
-
3D-JEPA
86.41
84.93
3D-JEPA: A Joint Embedding Predictive Architecture for 3D Self-Supervised Representation Learning
-
KPConv
85.1
86.4
KPConv: Flexible and Deformable Convolution for Point Clouds
-
GeomGCNN
-
89.1
Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks
-
PartNet
84.1
-
PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation
-
point2vec
84.6
86.3
Point2Vec for Self-Supervised Representation Learning on Point Clouds
-
RS-CNN
-
86.2
Relation-Shape Convolutional Neural Network for Point Cloud Analysis
-
SGPN
-
85.8
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation
-
P2Sequence
-
85.2
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network
-
PointNet
-
83.7
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
-
PointGPT
84.8
86.6
-
-
PointGrid
82.2
86.4
PointGrid: A Deep Network for 3D Shape Understanding
DeltaConv (U-ResNet)
-
86.9
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds
-
ConvPoint
83.4
85.8
ConvPoint: Continuous Convolutions for Point Cloud Processing
-
0 of 67 row(s) selected.
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