COCO Panoptic scores on validation and test set for the training configuration study, using a naive connected component labelling 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 CSE used is a naive connected component labelling ([5] used a grid search to find the best threshold θ for EPM binarization while we use a fixed value of 0.5), 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.