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Point Cloud Classification on ModelNet10 (test)

95.4AccuracyPC-GAN (CD)
12.740834.200455.6677.1196Mar 6, 2019Feb 8, 2020Jan 13, 2021Dec 19, 2021Nov 24, 2022Oct 30, 2023Oct 4, 2024

Evaluation results

MethodLinks
PC-GAN (CD)evaluation_protocol=linear SVM classification2021.0395.4——
PC-GAN (EMD)evaluation_protocol=linear SVM classification2021.0395.4——
Diffusion Probabilistic Models for 3D Point Cloud Generationevaluation_protocol=linear SVM classification2021.0394.2——
PointFlowevaluation_protocol=linear SVM classification2021.0393.7——
PointCNN2019.0393.28——
SplineCNN2019.0392.65——
EdgeCNN2019.0392.62——
PointNet++2019.0392.51——
PointNet++Scheme=Clean2024.1092.11——
MPNN2019.0392.07——
AtlasNetevaluation_protocol=linear SVM classification2021.0391.9——
CurveNetScheme=Clean2024.1091.88——
DGCNNScheme=Clean2024.1091.81——
PointConvScheme=Clean2024.1091.26——
PointMLPScheme=Clean2024.1091.07——
ShapeGFevaluation_protocol=linear SVM classification2021.0390.2——
PCTScheme=Clean2024.1090.18——
PointNetScheme=Clean2024.1089.85——
SimpleViewScheme=Clean2024.1089.52——
3DGCNScheme=Clean2024.1088.51——
PointCNNScheme=Clean2024.1087.99——
RIConv++Scheme=Clean2024.1087.9——
RIConv++Scheme=UMT(k=1)2024.1086.72——
PointNNScheme=Clean2024.1083.22——
SimpleViewScheme=UMT(k=1)2024.1045.31——
PointNetScheme=UMT(k=1)2024.1040.64——
CurveNetScheme=UMT(k=1)2024.1039.78——
3DGCNScheme=UMT(k=3)2024.1036.19——
PointNNScheme=UMT(k=1)2024.1034.47——
3DGCNScheme=UMT(k=4)2024.1034.28——
PointConvScheme=UMT(k=1)2024.1033.64——
PointMLPScheme=UMT(k=1)2024.1032.85——
PointCNNScheme=UMT(k=1)2024.1032.82——
3DGCNScheme=UMT(k=2)2024.1032.79——
PointMLPScheme=UMT(k=3)2024.1032.21——
SimpleViewScheme=UMT(k=3)2024.1032.12——
PointNNScheme=UMT(k=2)2024.1031.94——
PCTScheme=UMT(k=1)2024.1031.58——
PointNNScheme=UMT(k=3)2024.1030.54——
PCTScheme=UMT(k=3)2024.1029.43——
DGCNNScheme=UMT(k=3)2024.1029.16——
PointNet++Scheme=UMT(k=1)2024.1028.73——
3DGCNScheme=UMT(k=1)2024.1028.01——
DGCNNScheme=UMT(k=1)2024.1027.41——
PointCNNScheme=UMT(k=3)2024.1027.03——
PointMLPScheme=UMT(k=4)2024.1026.65——
RIConv++Scheme=UMT(k=4)2024.1026.41——
PointNet++Scheme=UMT(k=2)2024.1026.36——
PointNNScheme=UMT(k=4)2024.1025.59——
CurveNetScheme=UMT(k=3)2024.1025.51——
PointMLPScheme=UMT(k=2)2024.1025.41——
CurveNetScheme=UMT(k=2)2024.1025.04——
SimpleViewScheme=UMT(k=4)2024.1024.12——
PointNet++Scheme=UMT(k=3)2024.1023.81——
CurveNetScheme=UMT(k=4)2024.1023.46——
PointNetScheme=UMT(k=3)2024.1022.84——
SimpleViewScheme=UMT(k=2)2024.1022.75——
PointCNNScheme=UMT(k=2)2024.1021.97——
PointConvScheme=UMT(k=4)2024.1021.66——
PointNetScheme=UMT(k=2)2024.1021.18——
PointConvScheme=UMT(k=2)2024.1020.84——
PointNet++Scheme=UMT(k=4)2024.1020.56——
PointCNNScheme=UMT(k=4)2024.1020.52——
PCTScheme=UMT(k=4)2024.1020.29——
RIConv++Scheme=UMT(k=3)2024.1019.94——
PCTScheme=UMT(k=2)2024.1019.72——
DGCNNScheme=UMT(k=2)2024.1018.84——
PointNetScheme=UMT(k=4)2024.1018.83——
PointConvScheme=UMT(k=3)2024.1018.49——
RIConv++Scheme=UMT(k=2)2024.1016.53——
DGCNNScheme=UMT(k=4)2024.1015.92——
Focal Lossalpha=0.25, gamma=2, Imbalance factor=1:1002022.08—82.0980.74
Focal Lossalpha=0.25, gamma=2, Imbalance factor=4:1002022.08—87.1786.39
Focal Lossalpha=0.25, gamma=2, Imbalance factor=8:1002022.08—87.4487.49
Focal Lossalpha=0.25, gamma=2, Imbalance factor=10:1002022.08—87.6787.11
LDAM-DRWImbalance factor=1:1002022.08—79.9177.56
LDAM-DRWImbalance factor=4:1002022.08—80.0778.19
LDAM-DRWImbalance factor=8:1002022.08—80.3577.65
LDAM-DRWImbalance factor=10:1002022.08—80.1377.61
Logit Adjustmenttau=1, Imbalance factor=1:1002022.08—82.8181.86
Logit Adjustmenttau=1, Imbalance factor=4:1002022.08—84.8884.39
Logit Adjustmenttau=1, Imbalance factor=8:1002022.08—86.7786.28
Logit Adjustmenttau=1, Imbalance factor=10:1002022.08—87.5687.13
Optimal Transport Re-weighting (Weight vector)Imbalance factor=1:1002022.08—83.7181.97
Optimal Transport Re-weighting (Weight vector)Imbalance factor=4:1002022.08—85.1583.8
Optimal Transport Re-weighting (Weight vector)Imbalance factor=8:1002022.08—89.7389.09
Optimal Transport Re-weighting (Weight vector)Imbalance factor=10:1002022.08—90.490.16
Pointnet++ BaselineImbalance factor=1:1002022.08—81.7580.59
Pointnet++ BaselineImbalance factor=4:1002022.08—82.5381.42
Pointnet++ BaselineImbalance factor=8:1002022.08—88.6788.28
Pointnet++ BaselineImbalance factor=10:1002022.08—87.9587.58