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Description
I have to:
- Increase encoder from 28x28 to 56x56
- encode the background in a small latent variable
- change factor_balance_range: [0.1, 0.8, 0.9]
- Monitor the 3 different term in sparsity
- Since I have sparsity (which constraint the number of pixels) maybe I can just sum the KL together without rescaling?!
- the real deal is to use multi-objective optimization instead of GECO
- test that encoder/decoder are powerfull enough. For that I can create a dataset of isolated cells
- use Neptune
- reduce channels after UNET to 2 (one should be the original image, the other something else)
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