Online Versatile Incremental Learning: Towards Class and Domain-Agnostic Adaptation at Any Time.

arXiv:2609.36442v1 Announce Type: cross Abstract: Continual learning enables vision systems to adapt to ever-changing data distributions. Despite significant advances, existing approaches fail to capture continuous and concurrent shifts in classes and domains,