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홈뉴스최신 연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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Point Cloud Classification On Pointcloud C

평가 지표

mean Corruption Error (mCE)

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
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-
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