2024
Dyn-Adapter: Towards Disentangled Representation for Efficient Visual Recognition
ECCV 2024poster
"Parameter-efficient transfer learning (PETL) is a promising task, aiming to adapt the large-scale pre-trained model to downstream tasks with a relatively modest cost. However, current PETL methods struggle in compressing computational complexity and bear a heavy inference burden due to the complete…