Point Cloud Subset Containment on ModelNet40
93AccuracyMASNET-ReLU
Evaluation results
| Method | Links | |
|---|---|---|
| MASNET-ReLUBackbone=DGCNN, Class Ratio=90:10, |S|=5122025.10 | 93 | |
| MASNET-TRIBackbone=DGCNN, Class Ratio=90:10, |S|=2562025.10 | 93 | |
| MASNET-INTBackbone=DGCNN, Class Ratio=90:10, |S|=5122025.10 | 92 | |
| SetTransformerBackbone=DGCNN, Class Ratio=90:10, |S|=2562025.10 | 91 | |
| SetTransformerBackbone=DGCNN, Class Ratio=90:10, |S|=5122025.10 | 91 | |
| MASNET-ReLUBackbone=DGCNN, Class Ratio=90:10, |S|=2562025.10 | 91 | |
| MASNET-HatBackbone=DGCNN, Class Ratio=90:10, |S|=2562025.10 | 91 | |
| DeepSetsBackbone=DGCNN, Class Ratio=90:10, |S|=2562025.10 | 90 | |
| DeepSetsBackbone=DGCNN, Class Ratio=90:10, |S|=5122025.10 | 90 | |
| SetTransformerBackbone=DGCNN, Class Ratio=90:10, |S|=1282025.10 | 90 | |
| MASNET-INTBackbone=DGCNN, Class Ratio=90:10, |S|=2562025.10 | 90 | |
| DeepSetsBackbone=DGCNN, Class Ratio=90:10, |S|=1282025.10 | 89 | |
| MASNET-HatBackbone=DGCNN, Class Ratio=90:10, |S|=5122025.10 | 89 | |
| MASNET-ReLUBackbone=DGCNN, Class Ratio=90:10, |S|=1282025.10 | 87 | |
| MASNET-TRIBackbone=DGCNN, Class Ratio=90:10, |S|=5122025.10 | 87 | |
| MASNET-INTBackbone=DGCNN, Class Ratio=90:10, |S|=1282025.10 | 87 | |
| MASNET-HatBackbone=DGCNN, Class Ratio=90:10, |S|=1282025.10 | 85 | |
| MASNET-TRIBackbone=DGCNN, Class Ratio=90:10, |S|=1282025.10 | 83 |