Preprint
Jul 2026
Continual Video-MLLM Adaptation over Evolving Domains
DAER maintains domain-isolated lightweight experts while keeping the pretrained Video-MLLM backbone frozen, thereby decoupling domain-specific adaptation from the general multimodal knowledge of the pretrained model, and introduces adaptive domain merging to improve parameter scalability and a two-stage optimization strategy to stabilize expert specialization during continual learning.
Rui Cheng, Meixing Shi, Yuxiang Cai et al.
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