PointConv: Deep Convolutional Networks on 3D Point Clouds

Benchmark Model Rank Results
3d-part-segmentation-on-intraPointConv#2IoU (V): 94.65IoU (A): 79.53DSC (V): 97.18DSC (A): 86.52
3d-part-segmentation-on-shapenet-partPointConv#39Instance Average IoU: 85.7Class Average IoU: 82.8
3d-point-cloud-classification-on-intraPointConv#5F1 score (5-fold): 0.883
3d-point-cloud-classification-on-modelnet40PointConv#80Overall Accuracy: 92.5
semantic-segmentation-on-scannetPointConv#33val mIoU: 61.0test mIoU: 55.6