Masked Autoencoders for Point Cloud Self-supervised Learning

Benchmark Model Rank Results
3d-point-cloud-classification-on-modelnet40Point-MAE#26Overall Accuracy: 94.0
3d-point-cloud-classification-on-scanobjectnnPoint-MAE#50Overall Accuracy: 85.2OBJ-BG (OA): 90.02OBJ-ONLY (OA): 88.29
few-shot-3d-point-cloud-classification-on-1Point-MAE#14Overall Accuracy: 96.3Standard Deviation: 2.5
few-shot-3d-point-cloud-classification-on-2Point-MAE#14Overall Accuracy: 97.8Standard Deviation: 1.8
few-shot-3d-point-cloud-classification-on-3Point-MAE#12Overall Accuracy: 92.6Standard Deviation: 4.1
few-shot-3d-point-cloud-classification-on-4Point-MAE#14Overall Accuracy: 95.0Standard Deviation: 3.0
point-cloud-segmentation-on-pointcloud-cPointMAE#3mean Corruption Error (mCE): 0.927