Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training

Benchmark Model Rank Results
3d-point-cloud-linear-classification-on-modelnet40Point-M2AE#5Overall Accuracy: 92.9
few-shot-3d-point-cloud-classification-on-modelnet40-5-way-20-shotPoint-M2AE#17Overall Accuracy: 98.3Standard Deviation: 1.4
few-shot-3d-point-cloud-classification-on-modelnet40-5-way-10-shotPoint-M2AE#18Overall Accuracy: 96.8Standard Deviation: 1.8
few-shot-3d-point-cloud-classification-on-modelnet40-10-way-10-shotPoint-M2AE#22Overall Accuracy: 92.3Standard Deviation: 4.5
few-shot-3d-point-cloud-classification-on-modelnet40-10-way-20-shotPoint-M2AE#22Overall Accuracy: 95.0Standard Deviation: 3.0
3d-point-cloud-classification-on-modelnet40Point-M2AE#28Overall Accuracy: 94.0
3d-point-cloud-classification-on-modelnet40Point-M2AE-SVM#79Overall Accuracy: 92.9
3d-point-cloud-classification-on-scanobjectnnPoint-M2AE#47Overall Accuracy: 86.43OBJ-BG (OA): 91.22OBJ-ONLY (OA): 88.81