LoR-VP adapts frozen vision models by adding a rank-4 low-rank prompt across the full image, outperforming prior visual prompting methods while using far fewer prompt parameters.
On the backward stability of SGD and its use for asymptotic model selection in neural networks
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LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation
LoR-VP adapts frozen vision models by adding a rank-4 low-rank prompt across the full image, outperforming prior visual prompting methods while using far fewer prompt parameters.