Rotated Mnist On Rotated Mnist 1
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Test error
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | Test error | Paper Title | Repository |
|---|---|---|---|
| E2FCNN (D16 |5 C16) | 0.682 | General E(2)-Equivariant Steerable CNNs | |
| Sim2-CNN | 0.59 | Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups | |
| Steerable Filter CNN | 0.714 | Learning Steerable Filters for Rotation Equivariant CNNs | - |
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