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SOTA
Point Cloud Classification
Point Cloud Classification On Pointcloud C
Point Cloud Classification On Pointcloud C
Metrics
mean Corruption Error (mCE)
Results
Performance results of various models on this benchmark
Columns
Model Name
mean Corruption Error (mCE)
Paper Title
Repository
WOLFMix (DGCNN)
0.590
Benchmarking and Analyzing Point Cloud Classification under Corruptions
-
PointMixUp (PointNet++)
1.028
PointMixup: Augmentation for Point Clouds
-
Critical Points++&EPiC(RPC)
0.476
Robustifying Point Cloud Networks by Refocusing
-
EPiC (DGCNN+WOLFMix)
0.529
EPiC: Ensemble of Partial Point Clouds for Robust Classification
-
Critical Points++&EPiC(DGCNN)
0.484
Robustifying Point Cloud Networks by Refocusing
-
RSCNN
1.130
Relation-Shape Convolutional Neural Network for Point Cloud Analysis
-
PointWOLF (DGCNN)
0.814
Point Cloud Augmentation with Weighted Local Transformations
-
PAConv
1.104
PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
-
WOLFMix (GDANet)
0.571
Benchmarking and Analyzing Point Cloud Classification under Corruptions
-
WOLFMix (RPC)
0.601
Benchmarking and Analyzing Point Cloud Classification under Corruptions
-
EPiC (PCT+WOLFMix)
0.510
EPiC: Ensemble of Partial Point Clouds for Robust Classification
-
PointNet
1.422
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
-
RPC
0.863
Benchmarking and Analyzing Point Cloud Classification under Corruptions
-
CurveNet
0.927
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
-
WOLFMix (PointNet)
1.180
Benchmarking and Analyzing Point Cloud Classification under Corruptions
-
RSMix (DGCNN)
0.745
Regularization Strategy for Point Cloud via Rigidly Mixed Sample
-
DGCNN
1.000
Dynamic Graph CNN for Learning on Point Clouds
-
EPiC(GDANet+WOLFMix)
0.530
EPiC: Ensemble of Partial Point Clouds for Robust Classification
-
PCT
0.925
PCT: Point cloud transformer
-
SimpleView
1.047
Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline
-
0 of 23 row(s) selected.
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