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Object Classification on ModelNet40 1k points

95.1AccuracyMamba3D
88.96490.55792.1593.743May 19, 2023Jul 14, 2023Sep 9, 2023Nov 5, 2023Dec 31, 2023Feb 26, 2024Apr 23, 2024

Evaluation results

MethodLinks
Mamba3DPT=Point-MAE, #P (M)=16.9, #F (G)=3.9, Voting Strategy=true2024.0495.1
PointGPT-LLearning Paradigm=Self-Supervised Representation Learning, Larger pre-training dataset=true, Post-pre-training stage=true2023.0594.7
Mamba3DPT=Point-MAE, #P (M)=16.9, #F (G)=3.9, Voting Strategy=false2024.0494.7
PointMLPLearning Paradigm=Supervised Learning Only2023.0594.5
PointMLP+ULIPLearning Paradigm=Cross-modal Information and Teacher Models2023.0594.5
ReConLearning Paradigm=Cross-modal Information and Teacher Models2023.0594.5
PointMLP#P (M)=12.6, #F (G)=31.4, Training Paradigm=Supervised Learning Only2023.0794.5
ReCon#P (M)=43.6, #F (G)=5.3, Training Paradigm=with Pretrained Cross-Modal Teacher Representation Learning2023.0794.5
PointMLPPT=×, #P (M)=12.6, #F (G)=31.42024.0494.5
PointGPT-BLearning Paradigm=Self-Supervised Representation Learning, Larger pre-training dataset=true, Post-pre-training stage=true2023.0594.4
Point-MAEPT=IDPT, #P (M)=22.1+1.7†, #F (G)=4.82024.0494.4
Mamba3DPT=Point-BERT, #P (M)=16.9, #F (G)=3.9, Voting Strategy=false2024.0494.4
VPP w/ vot.#P (M)=22.1, #F (G)=4.8, Training Paradigm=with Self-Supervised Representation Learning, Voting Strategy=Yes2023.0794.1
I2P-MAE#P (M)=12.9, #F (G)=3.6, Training Paradigm=with Pretrained Cross-Modal Teacher Representation Learning2023.0794.1
Mamba3DPT=×, #P (M)=16.9, #F (G)=3.9, Voting Strategy=true2024.0494.1
PointNeXtLearning Paradigm=Supervised Learning Only2023.0594
P2P-HorNetLearning Paradigm=Supervised Learning Only2023.0594
Point-M2AELearning Paradigm=Self-Supervised Representation Learning2023.0594
PointGPT-SLearning Paradigm=Self-Supervised Representation Learning, Larger pre-training dataset=false, Post-pre-training stage=false2023.0594
PointNeXt#P (M)=1.4, #F (G)=3.6, Training Paradigm=Supervised Learning Only2023.0794
Point-M2AE#P (M)=14.8, #F (G)=3.6, Training Paradigm=with Self-Supervised Representation Learning2023.0794
PointNeXtPT=×, #P (M)=1.4, #F (G)=3.62024.0494
P2P-HorNetPT=✓, #F (G)=34.62024.0494
DeLAPT=×, #P (M)=5.3, #F (G)=1.52024.0494
Point-M2AEPT=Point-M2AE, #P (M)=15.3, #F (G)=3.62024.0494
SimpleViewPT=×2024.0493.9
GBNetLearning Paradigm=Supervised Learning Only2023.0593.8
MVTNLearning Paradigm=Supervised Learning Only2023.0593.8
MaskPointLearning Paradigm=Self-Supervised Representation Learning2023.0593.8
Point-MAELearning Paradigm=Self-Supervised Representation Learning2023.0593.8
Point-MAE#P (M)=22.1, #F (G)=4.8, Training Paradigm=with Self-Supervised Representation Learning2023.0793.8
VPP w/o vot.#P (M)=22.1, #F (G)=4.8, Training Paradigm=with Self-Supervised Representation Learning, Voting Strategy=No2023.0793.8
GBNetPT=×, #P (M)=8.82024.0493.8
MVTNPT=×, #P (M)=11.2, #F (G)=43.72024.0493.8
MaskPointPT=MaskPoint, #P (M)=22.1, #F (G)=4.82024.0493.8
Point-MAEPT=Point-MAE, #P (M)=22.1, #F (G)=4.82024.0493.8
ACTLearning Paradigm=Cross-modal Information and Teacher Models2023.0593.7
ACT#P (M)=22.1, #F (G)=4.8, Training Paradigm=with Pretrained Cross-Modal Teacher Representation Learning2023.0793.7
PRA-NetPT=×, #F (G)=2.32024.0493.7
PointConTPT=×2024.0493.5
Mamba3DPT=×, #P (M)=16.9, #F (G)=3.9, Voting Strategy=false2024.0493.4
Point-BERTPT=IDPT, #P (M)=22.1+1.7†, #F (G)=4.82024.0493.4
Point-BERTLearning Paradigm=Self-Supervised Representation Learning2023.0593.2
PCT#P (M)=2.88, #F (G)=2.3, Training Paradigm=Supervised Learning Only2023.0793.2
Point-BERT#P (M)=22.1, #F (G)=4.8, Training Paradigm=with Self-Supervised Representation Learning2023.0793.2
PCTPT=×, #P (M)=2.9, #F (G)=2.32024.0493.2
Point-BERTPT=Point-BERT, #P (M)=22.1, #F (G)=4.82024.0493.2
P2P-RN101Learning Paradigm=Supervised Learning Only2023.0593.1
DRNetPT=×2024.0493.1
DGCNNLearning Paradigm=Supervised Learning Only2023.0592.9
DGCNN#P (M)=1.8, #F (G)=2.4, Training Paradigm=Supervised Learning Only2023.0792.9
DGCNNPT=×, #P (M)=1.8, #F (G)=2.42024.0492.9
PointCNNLearning Paradigm=Supervised Learning Only2023.0592.2
PointCNN#P (M)=0.6, Training Paradigm=Supervised Learning Only2023.0792.2
PointCNNPT=×, #P (M)=0.62024.0492.2
TransformerPT=OcCo, #P (M)=22.1, #F (G)=4.82024.0492.1
Transformer#P (M)=22.1, #F (G)=4.8, Training Paradigm=with Self-Supervised Representation Learning2023.0791.4
TransformerPT=×, #P (M)=22.1, #F (G)=4.82024.0491.4
PointNet++#P (M)=1.5, #F (G)=1.7, Training Paradigm=Supervised Learning Only2023.0790.7
PointNet++PT=×, #P (M)=1.5, #F (G)=1.72024.0490.7
PointNetLearning Paradigm=Supervised Learning Only2023.0589.2
PointNet#P (M)=3.5, #F (G)=0.5, Training Paradigm=Supervised Learning Only2023.0789.2
PointNetPT=×, #P (M)=3.5, #F (G)=0.52024.0489.2