3D Shape Retrieval on ModelNet40 (test)
93.1mAPR2-MLP
Evaluation Results
| Method | Links | |
|---|---|---|
| R2-MLPViews=202022.11 | 93.1 | |
| R2-MLPViews=122022.11 | 93 | |
| MVTNViews=122022.11 | 92.9 | |
| MLVCNNViews=242022.11 | 92.2 | |
| PVNetViews=Point2022.11 | 89.5 | |
| VIP-GAN2018.11 | 89.23 | |
| SeqViewsinput=Images, #points/views=122019.09 | 89.1 | |
| VIP-GANTraining dataset=ShapeNet55, Mode=known-test2018.11 | 88.87 | |
| DensePointinput=Points, #points/views=1k2019.09 | 88.5 | |
| Trip2018.11 | 88 | |
| Triplet-centerinput=Images, #points/views=122019.09 | 88 | |
| VIP-GANTraining dataset=ShapeNet55, Mode=unknown-test2018.11 | 87.66 | |
| PANORAMA-ENNinput=Images2019.09 | 86.3 | |
| GVCNNinput=Images, #points/views=122019.09 | 85.7 | |
| DGCNNinput=Points, #points/views=1k2019.09 | 85.3 | |
| PointCNNinput=Points, #points/views=1k2019.09 | 83.8 | |
| RAMA2018.11 | 83.45 | |
| GIFT2018.11 | 81.94 | |
| MeshNetModality=mesh2018.11 | 81.9 | |
| MVCNNViews=122022.11 | 80.2 | |
| MVCNN2018.11 | 79.5 | |
| MVCNNModality=view2018.11 | 79.5 | |
| PANORAMA2018.11 | 76.81 | |
| PointNetinput=Points, #points/views=1k2019.09 | 70.5 | |
| Point-Bindzero-shot=true2023.09 | 63.23 | |
| ULIPzero-shot=true2023.09 | 60.58 | |
| GeoImage2018.11 | 51.3 | |
| 3DShapeNetsModality=volume2018.11 | 49.2 | |
| 3DShapeNetsViews=Volume2022.11 | 49.2 | |
| PointCLIP-V2zero-shot=true2023.09 | 47.94 | |
| Point-Bindzero-shot=true2023.09 | 42.83 | |
| LFDModality=view2018.11 | 40.9 | |
| LFDViews=Volume2022.11 | 40 | |
| PointCLIPzero-shot=true2023.09 | 37.63 | |
| SPHModality=mesh2018.11 | 33.3 | |
| ULIPzero-shot=true2023.09 | 29.75 | |
| PointCLIP-V2zero-shot=true2023.09 | 9.22 | |
| PointCLIPzero-shot=true2023.09 | 5.28 |