Point Cloud Classification On Pointcloud C
评估指标
mean Corruption Error (mCE)
评测结果
各个模型在此基准测试上的表现结果
比较表格
| 模型名称 | mean Corruption Error (mCE) |
|---|---|
| benchmarking-and-analyzing-point-cloud | 0.590 |
| pointmixup-augmentation-for-point-clouds | 1.028 |
| critical-points-an-agile-point-cloud | 0.476 |
| epic-ensemble-of-partial-point-clouds-for | 0.529 |
| critical-points-an-agile-point-cloud | 0.484 |
| relation-shape-convolutional-neural-network | 1.130 |
| point-cloud-augmentation-with-weighted-local-1 | 0.814 |
| paconv-position-adaptive-convolution-with | 1.104 |
| benchmarking-and-analyzing-point-cloud | 0.571 |
| benchmarking-and-analyzing-point-cloud | 0.601 |
| epic-ensemble-of-partial-point-clouds-for | 0.510 |
| pointnet-deep-learning-on-point-sets-for-3d | 1.422 |
| benchmarking-and-analyzing-point-cloud | 0.863 |
| walk-in-the-cloud-learning-curves-for-point | 0.927 |
| benchmarking-and-analyzing-point-cloud | 1.180 |
| regularization-strategy-for-point-cloud-via | 0.745 |
| dynamic-graph-cnn-for-learning-on-point | 1.000 |
| epic-ensemble-of-partial-point-clouds-for | 0.530 |
| pct-point-cloud-transformer | 0.925 |
| revisiting-point-cloud-shape-classification | 1.047 |
| pre-training-by-completing-point-clouds | 1.047 |
| learning-geometry-disentangled-representation | 0.892 |
| critical-points-an-agile-point-cloud | 0.493 |