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SOTA
Point Cloud Classification
Point Cloud Classification On Pointcloud C
Point Cloud Classification On Pointcloud C
评估指标
mean Corruption Error (mCE)
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
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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