Image Classification on CIFAR10 (test) (Accuracy & 95% CI)
94.05AccuracyTRGL
Evaluation results
| Method | Links | ||
|---|---|---|---|
| TRGLBackbone=2-7 ResNet, Training Strategy=Parallel, Number of modules=22023.09 | 94.05 | 0.18 | |
| VanGLBackbone=2-7 ResNet, Training Strategy=Parallel, Number of modules=22023.09 | 94.01 | 0.17 | |
| InfoProBackbone=ResNet-110, Training Strategy=Parallel, Number of modules=22023.09 | 93.58 | — | |
| DGLBackbone=ResNet-110, Training Strategy=Parallel, Number of modules=22023.09 | 93.5 | — | |
| DDGBackbone=ResNet-110, Training Strategy=Parallel, Number of modules=22023.09 | 93.41 | — |