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ResearchFormerly WizWand

3D Object Classification on ModelNet40 1k P v1

94.5Overall AccuracyPointMLP
-2.7422.50547.7572.995Aug 21, 2024
Updated 8mo ago

Evaluation results

MethodLinks
PointMLPReference=ICLR 22, Params. (M)=12.6, Training Protocol=Supervised Learning Only2024.0894.5—
VPPReference=NeurIPS 23, Params. (M)=22.1, Training Protocol=Self-Supervised Representation Learning (FULL)2024.0894.1—
I2P-MAEReference=CVPR 23, Params. (M)=15.3, Training Protocol=Self-Supervised Representation Learning (FULL)2024.0894.1—
RECONReference=ICML 23, Params. (M)=44.3, Training Protocol=Self-Supervised Representation Learning (FULL)2024.0894.1—
PointNeXtReference=NeurIPS 22, Params. (M)=1.4, Training Protocol=Supervised Learning Only2024.0894—
Point-M2AEReference=NeurIPS 22, Params. (M)=15.3, Training Protocol=Self-Supervised Representation Learning (FULL)2024.0894—
Point-MAEReference=ECCV 22, Params. (M)=22.1, Training Protocol=Self-Supervised Representation Learning (FULL)2024.0893.8—
Point-MAE (Baseline)Reference=ECCV 22, Params. (M)=22.1, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.0893.8—
PPTReference=ACMMM 25, Params. (M)=1.1, Baseline=RECON, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.0893.7693.41
ACTReference=ICLR 23, Params. (M)=22.1, Training Protocol=Self-Supervised Representation Learning (FULL)2024.0893.7—
PPTReference=ACMMM 25, Params. (M)=1.1, Baseline=Point-MAE, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.0893.6893.18
IDPTReference=ICCV 23, Params. (M)=1.7, Baseline=Point-MAE, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.0893.6493.02
IDPTReference=ICCV 23, Params. (M)=1.7, Baseline=RECON, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.0893.6493.28
DAPTReference=CVPR 24, Params. (M)=1.1, Baseline=RECON, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.0893.2792.94
PCTReference=ICCV 21, Params. (M)=2.88, Training Protocol=Supervised Learning Only2024.0893.2—
Point-BERTReference=CVPR 22, Params. (M)=22.1, Training Protocol=Self-Supervised Representation Learning (FULL)2024.0893.2—
DAPTReference=CVPR 24, Params. (M)=1.1, Baseline=Point-MAE, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.0892.9992.83
DGCNNReference=TOG 19, Params. (M)=1.8, Training Protocol=Supervised Learning Only2024.0892.9—
RECON (Baseline)Reference=ICML 23, Params. (M)=22.1, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.0892.5—
PointNet++Reference=NeurIPS 17, Params. (M)=1.5, Training Protocol=Supervised Learning Only2024.0890.7—
PointNetReference=CVPR 17, Params. (M)=3.5, Training Protocol=Supervised Learning Only2024.0889.2—
OcCoReference=ICCV 21, Params. (M)=22.1, Training Protocol=Self-Supervised Representation Learning (FULL)2024.081—