Why is U-Net chosen over SegNet.
An self-contained image segmentation example (model trained from scratch on the Oxford Pets dataset):https://colab.research.google.com/drive/1EJKlMKrdlZ5BctIWlk3TrXJfE7dzpiaH …
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Would using softmax instead of sigmoid in the pixel classification layer do any better? Due to the the fact that the pixel classes are mutually exclusive ?
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Why not use http://tf.data ?
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