Point Cloud Classification On Pointcloud C

評価指標

mean Corruption Error (mCE)

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名
mean Corruption Error (mCE)
Paper TitleRepository
WOLFMix (DGCNN)0.590Benchmarking and Analyzing Point Cloud Classification under Corruptions-
PointMixUp (PointNet++)1.028PointMixup: Augmentation for Point Clouds-
Critical Points++&EPiC(RPC)0.476Robustifying Point Cloud Networks by Refocusing-
EPiC (DGCNN+WOLFMix)0.529EPiC: Ensemble of Partial Point Clouds for Robust Classification-
Critical Points++&EPiC(DGCNN)0.484Robustifying Point Cloud Networks by Refocusing-
RSCNN1.130Relation-Shape Convolutional Neural Network for Point Cloud Analysis-
PointWOLF (DGCNN)0.814Point Cloud Augmentation with Weighted Local Transformations-
PAConv1.104PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds-
WOLFMix (GDANet)0.571Benchmarking and Analyzing Point Cloud Classification under Corruptions-
WOLFMix (RPC)0.601Benchmarking and Analyzing Point Cloud Classification under Corruptions-
EPiC (PCT+WOLFMix)0.510EPiC: Ensemble of Partial Point Clouds for Robust Classification-
PointNet1.422PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation-
RPC0.863Benchmarking and Analyzing Point Cloud Classification under Corruptions-
CurveNet0.927Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis-
WOLFMix (PointNet)1.180Benchmarking and Analyzing Point Cloud Classification under Corruptions-
RSMix (DGCNN)0.745Regularization Strategy for Point Cloud via Rigidly Mixed Sample-
DGCNN1.000Dynamic Graph CNN for Learning on Point Clouds-
EPiC(GDANet+WOLFMix)0.530EPiC: Ensemble of Partial Point Clouds for Robust Classification-
PCT0.925PCT: Point cloud transformer-
SimpleView1.047Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline-
0 of 23 row(s) selected.