Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders

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Benchmark Model Rank Results
3d-point-cloud-linear-classification-on-modelnet40I2P-MAE#3Overall Accuracy: 93.4
few-shot-3d-point-cloud-classification-on-modelnet40-5-way-10-shotI2P-MAE#13Overall Accuracy: 97.0Standard Deviation: 1.8
few-shot-3d-point-cloud-classification-on-modelnet40-10-way-20-shotI2P-MAE#15Overall Accuracy: 95.5Standard Deviation: 3.0
few-shot-3d-point-cloud-classification-on-modelnet40-5-way-20-shotI2P-MAE#18Overall Accuracy: 98.3Standard Deviation: 1.3
few-shot-3d-point-cloud-classification-on-modelnet40-10-way-10-shotI2P-MAE#20Overall Accuracy: 92.6Standard Deviation: 5.0
3d-point-cloud-classification-on-scanobjectnnI2P-MAE (no voting)#21Overall Accuracy: 90.11OBJ-BG (OA): 94.15OBJ-ONLY (OA): 91.57

Rank counts only results with a code link.