COCO Panoptic scores on validation and test set for U-Net+Meyer Watershed vs Deep Watershed.

We use the MWS as a post-processing without filtering on Deep Watershed outputs to thin the prediction edges. The following parameters are static, and their respective columns are hidden: we use our proposed training configuration, the loss function is the binary cross entropy, no augmentation is performed, and DEF selection is performed with Joint Optimization (JO).