COCO Panoptic scores on validation and test set for study on topological loss functions.

The following parameters are static, and their respective columns are hidden: we use the Meyer Watershed (MWS) for CSE and Joint Optimization (JO) for DEF selection, we use our proposed training configuration, no augmentation is performed. For the architectures, * indicates pre-trained variants: the network is trained first using binary cross-entropy, then using a custom loss.