PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds

Benchmark Model Rank Results
point-cloud-segmentation-on-pointcloud-cPAConv#2mean Corruption Error (mCE): 0.927
3d-point-cloud-classification-on-intraPAConv#3F1 score (5-fold): 0.906
point-cloud-classification-on-pointcloud-cPAConv#21mean Corruption Error (mCE): 1.104
3d-point-cloud-classification-on-modelnet40PAConv#34Overall Accuracy: 93.9