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3D Point Cloud Classification On Modelnet40 C

评估指标

Error Rate

评测结果

各个模型在此基准测试上的表现结果

模型名称	Error Rate	Paper Title	Repository
PointNet	0.283	PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation	-
SimpleView	0.271	Revisiting Point Cloud Classification with a Simple and Effective Baseline
DGCNN+PointCutMix-R	0.173	PointCutMix: Regularization Strategy for Point Cloud Classification	-
PCT+RSMix	0.173	Regularization Strategy for Point Cloud via Rigidly Mixed Sample	-
PointNet++/+PointMixup	0.193	PointMixup: Augmentation for Point Clouds	-
PCT+PointCutMix-R	0.163	Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions	-
OmniVec	0.156	OmniVec: Learning robust representations with cross modal sharing	-
RSCNN	0.262	Relation-Shape Convolutional Neural Network for Point Cloud Analysis	-
PCT	0.255	PCT: Point cloud transformer	-
PointNet++/+PointCutMix-R	0.191	PointCutMix: Regularization Strategy for Point Cloud Classification	-
PointNet++	0.236	PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space	-
DGCNN	0.259	Dynamic Graph CNN for Learning on Point Clouds	-
OmniVec2	0.142	OmniVec2 - A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning	-

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3D Point Cloud Classification On Modelnet40 C | SOTA | HyperAI超神经