This can be attributed to UNet’s skip connections, which continuously connect the multi-scale resolution feature maps of the encoder with the corresponding feature maps of the decoder, improving the ...

To make decoder understanding the detailed features contained in the encoder better, U-Net++ introduces nested and dense skip connections, further strengthening the connection between ... Comparison ...

While simple feedforward networks are used for one-dimensional (1D) Poisson equation, an encoder-decoder architecture with a tensor-product layer is developed for the two-dimensional Poisson equation ...

In this work, we present MaxViT-UNet, an Encoder ... The hybrid decoder block initially fuses the lower level features upsampled via transpose convolution, with skip-connection features coming from ...

thereby fully mining the information of the ViT encoder block and providing better global information guidance for the decoder. Thus, our model is named shunted dual skip connection UNet (SDSC-UNet).

Abstract: In this work we introduce a biologically inspired long-range skip connection for the UNet architecture ... The fusion of early encoder features with deeper decoder ones allows UNet models to ...