Jan Frederik Meier

LiDeRe: A Lightweight Readout for Fast and Data-Efficient Dense Prediction

Parameter-efficient fine-tuning (PEFT) methods have recently gained popularity for applying deep neural networks on small datasets as they reduce overfitting, simplify deployment, and enable fast training. We demonstrate that for dense image prediction tasks, a well-designed and lightweight dense re