In traditional semantic segmentation, knowing about all existing classes is essential to yield effective results with the majority of approaches. However, these methods trained in a Closed Set fail when new are found test phase, not being able recognize that an unseen class has been fed. This means they suitable for Open scenarios, which very common real-world computer vision and remote sensing...