DPW with a token-importance gating module and residual adapters achieves state-of-the-art performance in domain-class incremental learning for VLMs.
The- ory, analysis, and best practices for sigmoid self-attention
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Enhancing Continual Learning of Vision-Language Models via Dynamic Prefix Weighting
DPW with a token-importance gating module and residual adapters achieves state-of-the-art performance in domain-class incremental learning for VLMs.