3D Object Classification on ScanObjectNN ONLY
93.5AccuracyP3T
Evaluation results
| Method | Links | |
|---|---|---|
| P3T#LP (M)=2.0, Training Protocol=Self-Supervised Pre-training + Parameter-efficient fine-tuning, PPT Setting=true2026.04 | 93.5 | |
| RECON#LP (M)=43.6, Training Protocol=Self-Supervised Pre-training + Full fine-tuning, PPT Setting=false2026.04 | 93.1 | |
| P3T#LP (M)=2.0, Training Protocol=Self-Supervised Pre-training + Parameter-efficient fine-tuning, PPT Setting=false2026.04 | 93.1 | |
| PPT#LP (M)=1.8, Training Protocol=Self-Supervised Pre-training + Parameter-efficient fine-tuning, PPT Setting=true2026.04 | 93.1 | |
| MVTN#LP (M)=11.2, Training Protocol=Supervised Learning, PPT Setting=false2026.04 | 92.3 | |
| ACT#LP (M)=22.1, Training Protocol=Self-Supervised Pre-training + Full fine-tuning, PPT Setting=false2026.04 | 91.9 | |
| PPT#LP (M)=1.8, Training Protocol=Self-Supervised Pre-training + Parameter-efficient fine-tuning, PPT Setting=false2026.04 | 91.8 | |
| ULIP-2#LP (M)=22.1, Training Protocol=Self-Supervised Pre-training + Full fine-tuning, PPT Setting=false2026.04 | 90.9 | |
| PointGPT#LP (M)=29.2, 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 | 89.3 | |
| Point-PRC#LP (M)=0.02, Training Protocol=Self-Supervised Pre-training + Parameter-efficient fine-tuning, PPT Setting=true2026.04 | 89.3 | |
| ULIP#LP (M)=22.1, Training Protocol=Self-Supervised Pre-training + Full fine-tuning, PPT Setting=false2026.04 | 89.2 | |
| Point-M2AE#LP (M)=15.3, Training Protocol=Self-Supervised Pre-training + Full fine-tuning, PPT Setting=false2026.04 | 88.8 | |
| Point-MAE#LP (M)=22.1, Training Protocol=Self-Supervised Pre-training + Full fine-tuning, PPT Setting=false2026.04 | 88.3 | |
| Point-BERT#LP (M)=22.1, Training Protocol=Self-Supervised Pre-training + Full fine-tuning, PPT Setting=false2026.04 | 88.1 | |
| Point-PRC#LP (M)=0.02, Training Protocol=Self-Supervised Pre-training + Parameter-efficient fine-tuning, PPT Setting=false2026.04 | 87.7 | |
| DAPT#LP (M)=0.8, Training Protocol=Self-Supervised Pre-training + Parameter-efficient fine-tuning, PPT Setting=false2026.04 | 87.1 | |
| DGCNN#LP (M)=1.8, Training Protocol=Supervised Learning, PPT Setting=false2026.04 | 86.2 | |
| PointCNN#LP (M)=0.6, Training Protocol=Supervised Learning, PPT Setting=false2026.04 | 85.5 | |
| OcCo#LP (M)=22.1, Training Protocol=Self-Supervised Pre-training + Full fine-tuning, PPT Setting=false2026.04 | 85.5 | |
| IDPT#LP (M)=1.3, Training Protocol=Self-Supervised Pre-training + Parameter-efficient fine-tuning, PPT Setting=false2026.04 | 85.4 | |
| PointNet++#LP (M)=1.5, Training Protocol=Supervised Learning, PPT Setting=false2026.04 | 84.3 | |
| PointNet#LP (M)=3.5, Training Protocol=Supervised Learning, PPT Setting=false2026.04 | 79.2 |