Point Cloud Classification On Pointcloud C

Metriken

mean Corruption Error (mCE)

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname	mean Corruption Error (mCE)	Paper Title
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

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