Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task Neural Architecture Search

Abstract

that reduces up to 88% of the undesired noise while simultaneously boosting accuracy. We conduct extensive evaluations on standard datasets, benchmark against strong baselines and state-of-the-art approaches, as well as provide an analysis of the discovered optimal architectures.