A Plasticity-Aware Method for Continual Self-Supervised Learning in Remote Sensing

Continual self-supervised learning (CSSL) methods have gained increasing attention in remote sensing (RS) due to their capability to learn new tasks sequentially from continuous streams of unlabeled data.