2026
LiDeRe: A Lightweight Readout for Fast and Data-Efficient Dense Prediction
CVPR 2026
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