Encoder–decoder networks and the U-Net · MAAI7602 Applied Computer Vision

A segmentation network shrinks the image to learn what is present, then grows the map back to label every pixel. The U-Net copies encoder feature maps to the decoder so boundaries stay sharp. How does an encoder–decoder network combine global context with pixel-level precision?

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