Image Classification on CIFAR-100 standard (test) (Accuracy and Memory Efficiency)
75.03AccuracyE2E
Evaluation results
| Method | Links | ||
|---|---|---|---|
| E2EBackbone=Swin-Tiny Transformer, Training Protocol=End-to-End2023.09 | 75.03 | 0 | |
| Parallel TRGLBackbone=Swin-Tiny Transformer, Number of modules=4, Training Protocol=Parallel2023.09 | 74.11 | 29 | |
| InfoProLBackbone=Swin-Tiny Transformer, Number of modules=4, Training Protocol=Parallel2023.09 | 73 | 45 | |
| Parallel VanGLBackbone=Swin-Tiny Transformer, Number of modules=4, Training Protocol=Parallel2023.09 | 69.34 | 33 | |
| InfoProBackbone=Swin-Tiny Transformer, Number of modules=4, Training Protocol=Parallel2023.09 | 68.36 | 38 |