Classification on ModelNet-40 12 views
85.4SV Category AccuracyPI-CNN
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| PI-CNNApproach=Pose-invariant (PI)2024.03 | 85.4 | 88 | 65.1 | 79.5 | |
| PI-ProxyApproach=Pose-invariant (PI)2024.03 | 85.1 | 88.7 | 66.1 | 80 | |
| PiRO-SEEmbedding Space=Single Embedding (SE), Approach=Pose-invariant (PI)2024.03 | 85.1 | 88.1 | 82.9 | 85.4 | |
| PiRO-DEEmbedding Space=Dual Embedding (DE), Approach=Pose-invariant (PI)2024.03 | 85 | 88.3 | 94.1 | 89.1 | |
| PI-TCApproach=Pose-invariant (PI)2024.03 | 81.2 | 88.9 | 74.1 | 81.4 | |
| MV-ProxyApproach=Multi-view (MV)2024.03 | 79.7 | 89.6 | 37.1 | 68.8 | |
| MV-TCApproach=Multi-view (MV)2024.03 | 77.3 | 88.9 | 54.2 | 73.5 | |
| MV-CNNApproach=Multi-view (MV)2024.03 | 71 | 87.9 | 65.6 | 74.8 |