Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis

Benchmark Model Rank Results
3d-point-cloud-classification-on-modelnet40Point-PN#43Overall Accuracy: 93.8Number of params: 0.8M
3d-point-cloud-classification-on-scanobjectnnPoint-PN#40Overall Accuracy: 87.1Number of params: 0.8M
supervised-only-3d-point-cloud-classificationPoint-PN#7Overall Accuracy (PB_T50_RS): 87.1Number of params (M): 0.8
training-free-3d-part-segmentation-onPoint-NN#1mIoU: 74.0Need 3D Data?: YesParameters: 0M
training-free-3d-point-cloud-classificationPoint-NN#2Accuracy (%): 82.6Parameters: 0MNeed 3D Data?: Yes
training-free-3d-point-cloud-classification-1Point-NN#2Accuracy (%): 64.9Parameters: 0MNeed 3D Data?: Yes