Researchers propose emotion-centered generative replay (ECgr) method for facial expression recognition.ECgr integrates synthetic images from generative adversarial networks and a quality assurance algorithm.The method enables CNNs to retain past knowledge while learning new tasks, improving performance.Another study focuses on multi-task multi-modal self-supervised learning for facial expression recognition.