Object Classification on ScanObjectNN Overall
90.6Overall AccuracyReCon
Evaluation Results
| Method | Links | |
|---|---|---|
| ReCon#Params (M)=44.3, Pre-training Strategy=With Pre-trained Image Model, Extra Knowledge=Pre-trained Image Models2023.07 | 90.6 | |
| I2P-MAEPre-training Strategy=With Pre-trained Image Model, Extra Knowledge=Pre-trained Image Models2023.07 | 90.1 | |
| PointMLP + TAP#Params (M)=12.6, Pre-training Strategy=Our Proposed TAP Pre-training2023.07 | 88.5 | |
| ACT#Params (M)=22.1, Pre-training Strategy=With Pre-trained Image Model, Extra Knowledge=Pre-trained Image Models2023.07 | 88.2 | |
| PointMLP (reproduce)#Params (M)=12.6, Pre-training Strategy=TAP Pre-training (Baseline), reproducibility=reproduced by this paper2023.07 | 87.4 | |
| Point-M2AE#Params (M)=15.3, Pre-training Strategy=Transformers with Pre-training2023.07 | 86.4 | |
| Point-MAE#Params (M)=22.1, Pre-training Strategy=Transformers with Pre-training2023.07 | 85.2 | |
| RepSurf-U#Params (M)=1.5, Pre-training Strategy=Supervised Learning Only2023.07 | 84.3 | |
| MaskPoint#Params (M)=22.1, Pre-training Strategy=Transformers with Pre-training2023.07 | 84.3 | |
| Point-BERT#Params (M)=22.1, Pre-training Strategy=Transformers with Pre-training2023.07 | 83.1 | |
| MVTN#Params (M)=11.2, Pre-training Strategy=Supervised Learning Only2023.07 | 82.8 | |
| GBNet#Params (M)=8.8, Pre-training Strategy=Supervised Learning Only2023.07 | 81 | |
| PRA-Net#Params (M)=2.3, Pre-training Strategy=Supervised Learning Only2023.07 | 81 | |
| DRNetPre-training Strategy=Supervised Learning Only2023.07 | 80.3 | |
| OcCo#Params (M)=22.1, Pre-training Strategy=Transformers with Pre-training2023.07 | 78.8 | |
| PointCNN#Params (M)=0.6, Pre-training Strategy=Supervised Learning Only2023.07 | 78.5 | |
| DGCNN#Params (M)=1.8, Pre-training Strategy=Supervised Learning Only2023.07 | 78.1 | |
| PointNet++#Params (M)=1.5, Pre-training Strategy=Supervised Learning Only2023.07 | 77.9 | |
| Transformer#Params (M)=22.1, Pre-training Strategy=Supervised Learning Only2023.07 | 77.24 | |
| PointNet#Params (M)=3.5, Pre-training Strategy=Supervised Learning Only2023.07 | 68 |