The encoder, combined with the MSCP block, maintains multi-scale contrast features with reduced training loss. Furthermore, the decoder network accurately projects the extracted features at different ...

U-Net is characterized by its encoder-decoder architecture and pioneering skip ... focus on the areas indicated by the labels. Figure 3. The diagram illustrates the generation of the mid layer. Thin ...

In the decoder block, multi-head self-attention is employed to explore potential relationships among sequences of input information and generate representations of the relevance between input feature ...

In this article, we propose a symmetric encoder-decoder with residual block (SEDRFuse ... which are generated by the residual block and the first two convolutional layers from the input source images, ...