ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation
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 …
nature, yet it is quite important to many applications. While recent works achieve limited …
V2Depth: Monocular Depth Estimation via Feature-Level Virtual-View Simulation and Refinement
Due to the lack of spatial cues giving merely a single image, many monocular depth
estimation methods have been developed to leverage stereo or multi-view images to learn …
estimation methods have been developed to leverage stereo or multi-view images to learn …
Learning monocular depth in dynamic environment via context-aware temporal attention
The monocular depth estimation task has recently revealed encouraging prospects,
especially for the autonomous driving task. To tackle the ill-posed problem of 3D geometric …
especially for the autonomous driving task. To tackle the ill-posed problem of 3D geometric …