Taming Modality Entanglement in Continual Audio-Visual Segmentation

ArXi:2510.17234v2 Announce Type: replace-cross Recently, significant progress has been made in multi-modal continual learning, aiming to learn new tasks sequentially in multi-modal settings while preserving performance on previously learned ones. However, existing methods mainly focus on coarse-grained tasks, with limitations in addressing modality entanglement in fine-grained continual learning settings. To bridge this gap, we