DPW with a token-importance gating module and residual adapters achieves state-of-the-art performance in domain-class incremental learning for VLMs.
On the role of attention in prompt-tuning
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CV 2years
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Activation prompts on intermediate layers outperform input-level visual prompting and parameter-efficient fine-tuning in accuracy and efficiency across 29 datasets.
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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.
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Visual prompting reimagined: The power of the Activation Prompts
Activation prompts on intermediate layers outperform input-level visual prompting and parameter-efficient fine-tuning in accuracy and efficiency across 29 datasets.