PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders

Benchmark Model Rank Results
3d-point-cloud-classification-on-modelnet40PCP-MAE#20Overall Accuracy: 94.2
3d-point-cloud-classification-on-scanobjectnnPCP-MAE#15Overall Accuracy: 90.35OBJ-BG (OA): 95.52OBJ-ONLY (OA): 94.32
few-shot-3d-point-cloud-classification-on-1PCP-MAE#5Overall Accuracy: 97.4Standard Deviation: 2.3
few-shot-3d-point-cloud-classification-on-2PCP-MAE#3Overall Accuracy: 99.1Standard Deviation: 0.8
few-shot-3d-point-cloud-classification-on-3PCP-MAE#6Overall Accuracy: 93.5Standard Deviation: 3.7
few-shot-3d-point-cloud-classification-on-4PCP-MAE#4Overall Accuracy: 95.9Standard Deviation: 2.7