Image Classification on CIFAR-100 (test) (Including Compression Metrics)
79.1Average ScoreStateful ODE-Net (c2)
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Stateful ODE-Net (c2)refinement training=false, basis functions=piecewise constant, # Parameters=13.6M2021.06 | 79.1 | 79.9 | 78.5 | — | |
| Wide-ResNet# Parameters=17.2M2021.06 | 78.8 | — | — | — | |
| Wide-ContinuousNet# Parameters=13.6M2021.06 | 78.8 | 79.7 | 78.2 | — | |
| Stateful ODE-Net (c1)refinement training=true, basis functions=piecewise linear, # Parameters=15.2M2021.06 | 76.9 | 78.2 | 75.5 | — | |
| Stateful ODE-Net (c1) (compressed)refinement training=true, basis functions=piecewise linear, # Parameters=9.0M2021.06 | 75.6 | 75.9 | 75.2 | 41 | |
| ResNet-122-i# Parameters=7.7M2021.06 | 73.2 | — | — | — | |
| Stateful ODE-Net (c2) (compressed)refinement training=false, basis functions=piecewise constant, # Parameters=9.0M2021.06 | 48.9 | 52.7 | 39.5 | 34 |