Overall Accuracy (OA) on 3D Point Cloud Classification on ModelNet40
94.2Overall Accuracy (OA)CurveNet
Evaluation results
| Method | Links | |
|---|---|---|
| CurveNetTesting Strategy=Voting2024.01 | 94.2 | |
| I2P-MAEPre-training=fine-tuning after self-supervised pre-training, Testing Strategy=Voting2024.01 | 94.1 | |
| Point-M2AEPre-training=fine-tuning after self-supervised pre-training, Testing Strategy=Voting2024.01 | 94 | |
| PointMLSTesting Strategy=Voting2024.01 | 94 | |
| PointMLPRe-implementation=true, Testing Strategy=Voting2024.01 | 93.9 | |
| MaskPointPre-training=fine-tuning after self-supervised pre-training, Testing Strategy=Voting2024.01 | 93.8 | |
| Point-MAEPre-training=fine-tuning after self-supervised pre-training, Testing Strategy=Voting2024.01 | 93.8 | |
| ACTPre-training=fine-tuning after self-supervised pre-training, Testing Strategy=Voting2024.01 | 93.7 | |
| RS-CNNTesting Strategy=Voting2024.01 | 93.6 | |
| Point-BERTPre-training=fine-tuning after self-supervised pre-training, Testing Strategy=Voting2024.01 | 93.2 | |
| PointASNLTesting Strategy=Voting2024.01 | 93.2 | |
| DGCNNTesting Strategy=Voting2024.01 | 92.9 | |
| PCTTesting Strategy=Voting2024.01 | 92.6 | |
| PointCNNTesting Strategy=Voting2024.01 | 92.5 | |
| PointConvTesting Strategy=Voting2024.01 | 92.5 | |
| PointNet++Testing Strategy=Voting2024.01 | 91.9 | |
| PATTesting Strategy=Voting2024.01 | 91.7 | |
| KCNetTesting Strategy=Voting2024.01 | 91 | |
| PointNetTesting Strategy=Voting2024.01 | 89.2 |