MCADS, a decoder with depth-to-space upsampling and residual linear attention, improves biomarker segmentation by about three to four percent IoU over previous methods on four public datasets.
Intuitive explanation of skip connections in deep learning.https://theaisummer.com/, 2020
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Rethinking Decoder Design: Improving Biomarker Segmentation Using Depth-to-Space Restoration and Residual Linear Attention
MCADS, a decoder with depth-to-space upsampling and residual linear attention, improves biomarker segmentation by about three to four percent IoU over previous methods on four public datasets.