3D Object Classification on ScanObjectNN PB_T50_RS v1
0.9063Highest Overall AccRECON
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| RECONReference=ICML 23, Params. (M)=44.3, Training Protocol=Self-Supervised Representation Learning (FULL)2024.08 | 0.9063 | — | |
| I2P-MAEReference=CVPR 23, Params. (M)=15.3, Training Protocol=Self-Supervised Representation Learning (FULL)2024.08 | 0.9011 | — | |
| RECON (Baseline)Reference=ICML 23, Params. (M)=22.1, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.08 | 0.9001 | — | |
| PPTReference=ACMMM 25, Params. (M)=1.1, Baseline=RECON, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.08 | 0.8952 | 0.8897 | |
| DAPTReference=CVPR 24, Params. (M)=1.1, Baseline=RECON, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.08 | 0.8931 | 0.8877 | |
| VPPReference=NeurIPS 23, Params. (M)=22.1, Training Protocol=Self-Supervised Representation Learning (FULL)2024.08 | 0.8928 | — | |
| PPTReference=ACMMM 25, Params. (M)=1.1, Baseline=Point-MAE, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.08 | 0.89 | 0.8841 | |
| IDPTReference=ICCV 23, Params. (M)=1.7, Baseline=Point-MAE, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.08 | 0.8834 | 0.8809 | |
| DAPTReference=CVPR 24, Params. (M)=1.1, Baseline=Point-MAE, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.08 | 0.8827 | 0.8768 | |
| ACTReference=ICLR 23, Params. (M)=22.1, Training Protocol=Self-Supervised Representation Learning (FULL)2024.08 | 0.8821 | — | |
| IDPTReference=ICCV 23, Params. (M)=1.7, Baseline=RECON, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.08 | 0.8813 | 0.8776 | |
| PointNeXtReference=NeurIPS 22, Params. (M)=1.4, Training Protocol=Supervised Learning Only2024.08 | 0.877 | 0.877 | |
| Point-M2AEReference=NeurIPS 22, Params. (M)=15.3, Training Protocol=Self-Supervised Representation Learning (FULL)2024.08 | 0.8643 | — | |
| PointMLPReference=ICLR 22, Params. (M)=12.6, Training Protocol=Supervised Learning Only2024.08 | 0.854 | 0.854 | |
| Point-MAEReference=ECCV 22, Params. (M)=22.1, Training Protocol=Self-Supervised Representation Learning (FULL)2024.08 | 0.8518 | — | |
| Point-MAE (Baseline)Reference=ECCV 22, Params. (M)=22.1, Training Protocol=Parameter-Efficient Supervised Fine-tuning2024.08 | 0.8518 | — | |
| Point-BERTReference=CVPR 22, Params. (M)=22.1, Training Protocol=Self-Supervised Representation Learning (FULL)2024.08 | 0.8307 | — | |
| OcCoReference=ICCV 21, Params. (M)=22.1, Training Protocol=Self-Supervised Representation Learning (FULL)2024.08 | 0.7879 | — | |
| DGCNNReference=TOG 19, Params. (M)=1.8, Training Protocol=Supervised Learning Only2024.08 | 0.781 | — | |
| PointNet++Reference=NeurIPS 17, Params. (M)=1.5, Training Protocol=Supervised Learning Only2024.08 | 0.779 | — | |
| PointNetReference=CVPR 17, Params. (M)=3.5, Training Protocol=Supervised Learning Only2024.08 | 0.68 | — |