3D Classification on ScanObjectNN OBJ-BG official
96.4AccuracyP3T
Evaluation Results
| Method | Links | |
|---|---|---|
| P3T#LP (M)=2.0, Training Protocol=Self-Supervised Pre-training + Parameter-efficient fine-tuning, PPT Setting=true2026.04 | 96.4 | |
| Point-RAEEvaluation Protocol=with Self-Supervised Representation Learning (FULL)2023.09 | 95.53 | |
| PPT#LP (M)=1.8, Training Protocol=Self-Supervised Pre-training + Parameter-efficient fine-tuning, PPT Setting=true2026.04 | 95.4 | |
| P3T#LP (M)=2.0, Training Protocol=Self-Supervised Pre-training + Parameter-efficient fine-tuning, PPT Setting=false2026.04 | 95.2 | |
| RECON#LP (M)=43.6, Training Protocol=Self-Supervised Pre-training + Full fine-tuning, PPT Setting=false2026.04 | 94.2 | |
| I2P-MAEYear=2023, Evaluation Protocol=with Self-Supervised Representation Learning (FULL)2023.09 | 94.15 | |
| PPT#LP (M)=1.8, Training Protocol=Self-Supervised Pre-training + Parameter-efficient fine-tuning, PPT Setting=false2026.04 | 93.7 | |
| ACT#LP (M)=22.1, Training Protocol=Self-Supervised Pre-training + Full fine-tuning, PPT Setting=false2026.04 | 93.3 | |
| ACTYear=2023, Evaluation Protocol=with Self-Supervised Representation Learning (FULL)2023.09 | 93.29 | |
| MVTNYear=2021, Evaluation Protocol=Supervised Learning Only2023.09 | 92.6 | |
| MVTN#LP (M)=11.2, Training Protocol=Supervised Learning, PPT Setting=false2026.04 | 92.6 | |
| ULIP-2#LP (M)=22.1, Training Protocol=Self-Supervised Pre-training + Full fine-tuning, PPT Setting=false2026.04 | 91.9 | |
| ULIP#LP (M)=22.1, Training Protocol=Self-Supervised Pre-training + Full fine-tuning, PPT Setting=false2026.04 | 91.7 | |
| PointGPT#LP (M)=29.2, Training Protocol=Self-Supervised Pre-training + Full fine-tuning, PPT Setting=false2026.04 | 91.6 | |
| Point-M2AEYear=2022, Evaluation Protocol=with Self-Supervised Representation Learning (FULL)2023.09 | 91.22 | |
| Point-M2AE#LP (M)=15.3, Training Protocol=Self-Supervised Pre-training + Full fine-tuning, PPT Setting=false2026.04 | 91.2 | |
| Point-PRC#LP (M)=0.02, Training Protocol=Self-Supervised Pre-training + Parameter-efficient fine-tuning, PPT Setting=true2026.04 | 90.2 | |
| Point-MAEYear=2022, Evaluation Protocol=with Self-Supervised Representation Learning (FULL)2023.09 | 90.02 | |
| Point-MAE#LP (M)=22.1, Training Protocol=Self-Supervised Pre-training + Full fine-tuning, PPT Setting=false2026.04 | 90 | |
| MaskPoint#LP (M)=22.1, Training Protocol=Self-Supervised Pre-training + Full fine-tuning, PPT Setting=false2026.04 | 89.7 | |
| MaskPointYear=2022, Evaluation Protocol=with Self-Supervised Representation Learning (FULL)2023.09 | 89.3 | |
| Point-PRC#LP (M)=0.02, Training Protocol=Self-Supervised Pre-training + Parameter-efficient fine-tuning, PPT Setting=false2026.04 | 89 | |
| Point-BERTYear=2022, Evaluation Protocol=with Self-Supervised Representation Learning (FULL)2023.09 | 87.43 | |
| Point-BERT#LP (M)=22.1, Training Protocol=Self-Supervised Pre-training + Full fine-tuning, PPT Setting=false2026.04 | 87.4 | |
| DAPT#LP (M)=0.8, Training Protocol=Self-Supervised Pre-training + Parameter-efficient fine-tuning, PPT Setting=false2026.04 | 87.1 | |
| PointCNNYear=2018, Evaluation Protocol=Supervised Learning Only2023.09 | 86.1 | |
| PointCNN#LP (M)=0.6, Training Protocol=Supervised Learning, PPT Setting=false2026.04 | 86.1 | |
| OcCo#LP (M)=22.1, Training Protocol=Self-Supervised Pre-training + Full fine-tuning, PPT Setting=false2026.04 | 84.9 | |
| IDPT#LP (M)=1.3, Training Protocol=Self-Supervised Pre-training + Parameter-efficient fine-tuning, PPT Setting=false2026.04 | 84.9 | |
| DGCNNYear=2019, Evaluation Protocol=Supervised Learning Only2023.09 | 82.8 | |
| DGCNN#LP (M)=1.8, Training Protocol=Supervised Learning, PPT Setting=false2026.04 | 82.8 | |
| PointNet++Year=2017, Evaluation Protocol=Supervised Learning Only2023.09 | 82.3 | |
| PointNet++#LP (M)=1.5, Training Protocol=Supervised Learning, PPT Setting=false2026.04 | 82.3 | |
| CrossPoint#LP (M)=27.7, Training Protocol=Self-Supervised Pre-training + Full fine-tuning, PPT Setting=false2026.04 | 81.7 | |
| TransformerYear=2017, Evaluation Protocol=with Self-Supervised Representation Learning (FULL)2023.09 | 79.86 | |
| PointNetYear=2016, Evaluation Protocol=Supervised Learning Only2023.09 | 73.3 | |
| PointNet#LP (M)=3.5, Training Protocol=Supervised Learning, PPT Setting=false2026.04 | 73.3 |