COCO Panoptic scores on validation and test set for the training configuration study, using the Meyer Watershed (MWS) for CSE.

The training configuration from [5] is indicated as “Original” while our proposed method is indicated as “Proposed”. The following parameters are static, and their respective columns are hidden: the loss function is the binary cross entropy, the best DEF is selected using the protocol of [5], no augmentation is performed. For the architectures, * indicates pre-trained variants.