Classification on Spherical MNIST rotated level-4 mesh (train and test (R/R))
99.37AccuracySWSCNN
Evaluation Results
| Method | Links | |
|---|---|---|
| SWSCNNparams=58k2020.06 | 99.37 | |
| Gauge Net2019.07 | 99.31 | |
| Gauge CNNEquivariant=true2023.07 | 99.31 | |
| Esteves et al.params=57k2020.06 | 98.71 | |
| SphCNNEquivariant=true2023.07 | 98.71 | |
| HexRUNet-CArchitecture=Residual U-Net2019.07 | 97.05 | |
| HexRUnetEquivariant=false2023.07 | 97.05 | |
| HEAL-SWINEquivariant=false2023.07 | 96.96 | |
| Kondor et al.2020.06 | 96.6 | |
| Clebsch-Gordan NetsEquivariant=true2023.07 | 96.6 | |
| Spherical TransformerEquivariant=true2023.07 | 95.09 | |
| S2CNNEquivariant=true2023.07 | 95 | |
| UGSCNN2019.07 | 94.92 | |
| UGSCNNEquivariant=false2023.07 | 94.92 | |
| Cohen et al.params=58k2020.06 | 94.62 | |
| Planar CNNparams=59k2020.06 | 81.07 |