could just try to fill in those pixels and that assumes access to label data of segmentation mass so that's not something that is completely self supervised but the other two versions are completely self supervised so they've made the reconstruction last good work is you you have a masking region and you have a ground truth for that and you could just apply the reconstruction error on the pixels that have been masked so you take your decoded image and you apply the inverse of the mask and you get all the other pixels out and