Image Classification on MNIST Superpixels (75 nodes) (test)
95.22AccuracySplineCNN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SplineCNNcoordinates=Cartesian, degree=Linear2017.11 | 95.22 | — | |
| SplineCNNcoordinates=Cartesian, degree=Quadratic2017.11 | 94.77 | — | |
| SplineCNNcoordinates=Polar, degree=Linear2017.11 | 94.64 | — | |
| SplineCNNcoordinates=Cartesian, degree=Cubic2017.11 | 94.62 | — | |
| SplineCNNcoordinates=Polar, degree=Quadratic2017.11 | 94.35 | — | |
| SplineCNNcoordinates=Polar, degree=Cubic2017.11 | 93.83 | — | |
| MoNet2017.11 | 91.11 | — | |
| ChebNet2019.05 | — | 24.4 | |
| GCGP2019.05 | — | 4.2 | |
| MoNet2019.05 | — | 8.9 |