The transformer component captures global contextual information, while the UNet component restores spatial details, ...

For DenseNet-40, the method reduced the number of parameters by 78.8% and the FLOPs by 76.1%, with only a 0.04% drop in accuracy. For ResNet-56, the compression led to a 57.8% reduction in ...