Nov 10, 2023 · Abstract:Self-supervised monocular depth estimation methods aim to be used in critical applications such as autonomous vehicles for environment analysis.

Apr 23, 2024 · This paper focuses on self-supervised monocular depth estimation in dynamic scenes trained on monocular videos. Existing methods jointly estimate pixel-wise ...

Dec 23, 2023 · Overview of the proposed framework for performing multi-frame self-supervised monocular depth estimation with panoptic segmentation as an auxiliary task. We ...

Sep 16, 2023 · This paper tackles the challenge of accurate depth estimation from monocular laparoscopic images in dynamic surgical environments.

Dec 25, 2023 · In this paper, we introduce SENSE, a novel learning paradigm for self-supervised monocular depth estimation that progressively evolves the prediction result ...

Mar 24, 2024 · Abstract. Recently, self-supervised monocular depth estimation has gained popularity with numerous applications in autonomous driving and robotics. However, ...

Oct 1, 2023 · This work proposes an innovative self-supervised approach to monocular depth estimation in laparoscopic scenarios. Previous methods independently predicted ...

Jul 5, 2024 · The self-supervised monocular depth estimation framework is well-suited for medical images that lack ground-truth depth, such as those from digestive ...

Oct 24, 2023 · This paper tackles the challenges of self-supervised monocular depth estimation in indoor scenes caused by large rotation between frames and low texture.

Apr 24, 2024 · Self-supervised monocular depth estimation methods aim to be used in critical applications such as autonomous vehicles for environment analysis.