Strong tiling artifacts

[Buglakova]

When I run the network prediction, the result has strong tiling artifacts. I use quite big halo, but it doesn't help. I encountered this before when using U-Net that wasn't trained for long enough or didn't see enough ground truth, which is kind of the case when applying a pretrained network to different data. As a workaround, would be nice to have an option for smooth transition between tiles, like in the original U-Net publication, where within the halo the weight of the tile in the result falls linearly towards the edge of the tile.

Here is an example:

Furthermore, it propagates to the superpixels (here GASP run on the wrong channel, but still you can see clearly the squares)