DIMoE-Adapters: Dynamic Expert Evolution for Continual Learning in Vision-Language Models
arXiv:2605.07494v1 Announce Type: new
Abstract: Continual learning enables vision-language models to accumulate knowledge and adapt to evolving tasks without retraining from scratch. However, in multi-domain task-incremental learning, large domain shi…