The architecture is implemented in model.py and I designed it to facilitate exparimentation, for instance by adding extra-downhills to the encoder.
I trained it for less than 15 epochs on the DAVIS2017 (used for few-shots video-segmentation), but nevertheless it generalized more than I expected for "person" segmentation.
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My personal implementation of U-NET (semantic-segmentation)
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