3D Point Cloud Classification On Modelnet40 C
평가 지표
Error Rate
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | Error Rate |
|---|---|
| pointnet-deep-learning-on-point-sets-for-3d | 0.283 |
| revisiting-point-cloud-classification-with-a | 0.271 |
| pointcutmix-regularization-strategy-for-point | 0.173 |
| regularization-strategy-for-point-cloud-via | 0.173 |
| pointmixup-augmentation-for-point-clouds | 0.193 |
| benchmarking-robustness-of-3d-point-cloud | 0.163 |
| omnivec-learning-robust-representations-with | 0.156 |
| relation-shape-convolutional-neural-network | 0.262 |
| pct-point-cloud-transformer | 0.255 |
| pointcutmix-regularization-strategy-for-point | 0.191 |
| pointnet-deep-hierarchical-feature-learning | 0.236 |
| dynamic-graph-cnn-for-learning-on-point | 0.259 |
| omnivec2-a-novel-transformer-based-network | 0.142 |