Christina Luoluo Lee

V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark

Parameter-efficient transfer learning (PETL) methods show promise in adapting a pre-trained model to various downstream tasks while training only a few parameters. In the computer vision (CV) domain, numerous PETL algorithms have been proposed, but their direct employment or comparison remains incon…