3D Object Classification on ModelNet40 1k P v1
94.5Overall AccuracyPointMLP
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| PointMLPReference=ICLR 22, Params. (M)=12.6, Training Protocol=Supervised Learning Only2024.08 | 94.5 | — | |
| VPPReference=NeurIPS 23, Params. (M)=22.1, Training Protocol=Self-Supervised Representation Learning (FULL)2024.08 | 94.1 | — | |
| I2P-MAEReference=CVPR 23, Params. (M)=15.3, Training Protocol=Self-Supervised Representation Learning (FULL)2024.08 | 94.1 | — | |
| RECONReference=ICML 23, Params. (M)=44.3, Training Protocol=Self-Supervised Representation Learning (FULL)2024.08 | 94.1 | — | |
| PointNeXtReference=NeurIPS 22, Params. (M)=1.4, Training Protocol=Supervised Learning Only2024.08 | 94 | — | |
| Point-M2AEReference=NeurIPS 22, Params. (M)=15.3, Training Protocol=Self-Supervised Representation Learning (FULL)2024.08 | 94 | — | |
| Point-MAEReference=ECCV 22, Params. (M)=22.1, Training Protocol=Self-Supervised Representation Learning (FULL)2024.08 | 93.8 | — | |
| Point-MAE (Baseline)Reference=ECCV 22, Params. (M)=22.1, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.08 | 93.8 | — | |
| PPTReference=ACMMM 25, Params. (M)=1.1, Baseline=RECON, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.08 | 93.76 | 93.41 | |
| ACTReference=ICLR 23, Params. (M)=22.1, Training Protocol=Self-Supervised Representation Learning (FULL)2024.08 | 93.7 | — | |
| PPTReference=ACMMM 25, Params. (M)=1.1, Baseline=Point-MAE, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.08 | 93.68 | 93.18 | |
| IDPTReference=ICCV 23, Params. (M)=1.7, Baseline=Point-MAE, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.08 | 93.64 | 93.02 | |
| IDPTReference=ICCV 23, Params. (M)=1.7, Baseline=RECON, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.08 | 93.64 | 93.28 | |
| DAPTReference=CVPR 24, Params. (M)=1.1, Baseline=RECON, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.08 | 93.27 | 92.94 | |
| PCTReference=ICCV 21, Params. (M)=2.88, Training Protocol=Supervised Learning Only2024.08 | 93.2 | — | |
| Point-BERTReference=CVPR 22, Params. (M)=22.1, Training Protocol=Self-Supervised Representation Learning (FULL)2024.08 | 93.2 | — | |
| DAPTReference=CVPR 24, Params. (M)=1.1, Baseline=Point-MAE, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.08 | 92.99 | 92.83 | |
| DGCNNReference=TOG 19, Params. (M)=1.8, Training Protocol=Supervised Learning Only2024.08 | 92.9 | — | |
| RECON (Baseline)Reference=ICML 23, Params. (M)=22.1, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.08 | 92.5 | — | |
| PointNet++Reference=NeurIPS 17, Params. (M)=1.5, Training Protocol=Supervised Learning Only2024.08 | 90.7 | — | |
| PointNetReference=CVPR 17, Params. (M)=3.5, Training Protocol=Supervised Learning Only2024.08 | 89.2 | — | |
| OcCoReference=ICCV 21, Params. (M)=22.1, Training Protocol=Self-Supervised Representation Learning (FULL)2024.08 | 1 | — |