Continual Barlow Twins: Continual Self-Supervised Learning for Remote Sensing Semantic Segmentation
In the field of earth observation (EO), continual learning (CL) algorithms have been proposed to deal with large datasets by decomposing them into several subsets and processing them incrementally.The majority of these algorithms assume that data Arduino Displays are, first, coming from a single source, and second, fully labeled.Real-world EO datas