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.
Can SGD learn recurrent neural networks with provable generalization? In Advances in Neural Information Processing Systems (NeurIPS), pp.\ 10310--10320, 2019
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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.