Image Classification on CIFAR-100 LT 10:1 ratio (test)
2.043LossIGLU-Approx
Evaluation results
| Method | Links | ||
|---|---|---|---|
| IGLU-Approxsigma=0.1, Backbone=ResNet-202026.03 | 2.043 | 48.37 | |
| IGLUsigma=0.1, Backbone=ResNet-202026.03 | 2.078 | 46.69 | |
| IGLU-Approxsigma=0.5, Backbone=ResNet-202026.03 | 2.558 | 51.2 | |
| IGLUsigma=0.5, Backbone=ResNet-202026.03 | 2.719 | 49.99 | |
| IGLU-Approxsigma=1, Backbone=ResNet-202026.03 | 2.763 | 51.06 | |
| ReLUBackbone=ResNet-202026.03 | 2.823 | 49.26 | |
| IGLUsigma=1, Backbone=ResNet-202026.03 | 2.833 | 50.02 | |
| IGLUsigma=10, Backbone=ResNet-202026.03 | 2.878 | 49.48 | |
| IGLUsigma=5, Backbone=ResNet-202026.03 | 2.931 | 49.21 | |
| IGLU-Approxsigma=10, Backbone=ResNet-202026.03 | 2.944 | 49.39 | |
| IGLU-Approxsigma=5, Backbone=ResNet-202026.03 | 2.986 | 49.34 | |
| SiLUBackbone=ResNet-202026.03 | 2.988 | 50.45 | |
| HardswishBackbone=ResNet-202026.03 | 3.011 | 49.55 | |
| MishBackbone=ResNet-202026.03 | 3.028 | 50.17 | |
| GELUBackbone=ResNet-202026.03 | 3.048 | 50.28 |