Self-Supervised Few-Shot Learning on Point Clouds

Open paper
Benchmark Model Rank Results
few-shot-3d-point-cloud-classification-on-modelnet40-10-way-10-shotSSFSL+PointNet#31Overall Accuracy: 49.15Standard Deviation: 6.1
few-shot-3d-point-cloud-classification-on-modelnet40-10-way-10-shotSSFSL+DGCNN#32Overall Accuracy: 48.50Standard Deviation: 5.6
few-shot-3d-point-cloud-classification-on-modelnet40-10-way-20-shotSSFSL+ DGCNN#30Overall Accuracy: 53.00Standard Deviation: 4.1
few-shot-3d-point-cloud-classification-on-modelnet40-10-way-20-shotSSFSL+PointNet#31Overall Accuracy: 50.10Standard Deviation: 5.0
few-shot-3d-point-cloud-classification-on-modelnet40-5-way-10-shotSSFSL+PointNet#30Overall Accuracy: 63.2Standard Deviation: 10.7
few-shot-3d-point-cloud-classification-on-modelnet40-5-way-10-shotSSFSL+DGCNN#31Overall Accuracy: 60.0Standard Deviation: 8.9
few-shot-3d-point-cloud-classification-on-modelnet40-5-way-20-shotSSFSL+PointNet#29Overall Accuracy: 68.90Standard Deviation: 9.4
few-shot-3d-point-cloud-classification-on-modelnet40-5-way-20-shotSSFSL+DGCNN#31Overall Accuracy: 65.70Standard Deviation: 8.4

Rank counts only results with a code link.