2024
Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach
CVPR 2024poster
Parameter-efficient fine-tuning for pre-trained Vision Transformers aims to adeptly tailor a model to downstream tasks by learning a minimal set of new adaptation parameters while preserving the frozen majority of pre-trained parameters. Striking a balance between retaining the generalizable represe…