Cheng-Hao Tu

4

Papers

7

Total Citations

Papers (4)

Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition

Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning

Compacting, Picking and Growing for Unforgetting Continual Learning

Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data