2023
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation
CoRL 2023poster
Monocular depth estimation is challenging due to its inherent ambiguity and ill-posed nature, yet it is quite important to many applications. While recent works achieve limited accuracy by designing increasingly complicated networks to extract features with limited spatial geometric cues from a sing…