PointCNN: Convolution On X-Transformed Points

Benchmark Model Rank Results
3d-point-cloud-classification-on-intraPointCNN#6F1 score (5-fold): 0.875
3d-semantic-segmentation-on-dalesPointCNN#8mIoU: 58.4Overall Accuracy: 97.2Model size: N/A
few-shot-3d-point-cloud-classification-on-modelnet40-5-way-20-shotPointCNN#33Overall Accuracy: 68.64Standard Deviation: 7.0
few-shot-3d-point-cloud-classification-on-modelnet40-10-way-20-shotPointCNN#35Overall Accuracy: 49.95Standard Deviation: 7.2
few-shot-3d-point-cloud-classification-on-modelnet40-10-way-10-shotPointCNN#37Overall Accuracy: 46.60Standard Deviation: 4.8
semantic-segmentation-on-scannetPointCNN#41test mIoU: 45.8
semantic-segmentation-on-s3dis-area5PointCNN#58oAcc: 85.9Number of params: N/A
3d-point-cloud-classification-on-modelnet40PointCNN#88Overall Accuracy: 92.2