5 days ago · Self-supervised multi-frame monocular depth estimation relies on the geometric consistency between successive frames under the assumption of a static scene.

5 days ago · Self-supervised multi-frame monocular depth estimation relies on the geometric consistency between successive frames under the assumption of a static scene. 5.

24 hours ago · In this paper, we mainly focus on the self-supervised monoc- ular depth estimation task by fully exploring the direction sensitivity and environmental ...

5 days ago · Self-supervised multi-frame monocular depth estimation relies on the geometric consistency between successive frames under the assumption of a static scene.

2 days ago · Monocular depth prediction can be learned in self-supervised ways and has been a popular research topic due to its low-cost characteristic during both training ...

2 days ago · Self-supervised multi-frame monocular depth estimation relies on the geometric consistency between successive frames under the assumption of a static scene.

6 days ago · This paper focuses on self-supervised monocular depth estimation in dynamic scenes trained on monocular videos. Existing methods jointly estimate pixel-wise ...

3 days ago · BodySLAM is a robust deep learning-based Simultaneous Localization and Mapping (SLAM) approach designed for endoscopic surgical applications.

10 hours ago · Monodepth2 is one of the prominent techniques for monocular depth estimation. By employing a self-supervised approach, Monodepth2 eliminates the need for ...

2 days ago · The self-supervised monocular depth estimation algorithm obtains excellent results in outdoor environments. However, traditional self-supervised depth ...