Continual Forgetting

Continual Forgetting is a technique in pre-trained models that continuously removes specific information, aiming to achieve forgetting of selected data without affecting other existing knowledge. This technology dynamically adjusts model parameters to ensure that while continuously learning new tasks, it can selectively delete information that is no longer needed, thereby protecting privacy and reducing storage burdens. In the field of computer vision, Continual Forgetting can help models handle sensitive data more securely and efficiently.