Attention-Based Monocular Depth Estimation Considering Global and Local Information in Remote Sensing Images
J Lv, Y Zhang, J Guo, X Zhao, M Gao, B Lei - Remote Sensing, 2024 - mdpi.com
Monocular depth estimation using a single remote sensing image has emerged as a focal
point in both remote sensing and computer vision research, proving crucial in tasks such as …
point in both remote sensing and computer vision research, proving crucial in tasks such as …
RCFNet: Related Cross-level Feature Network with Cascaded Self-distillation for Monocular Depth Estimation
Monocular depth estimation (MDE) is a challenging yet crucial computer vision task, which
aims to generate accurate depth maps from a single image. Existing MDE approaches …
aims to generate accurate depth maps from a single image. Existing MDE approaches …
EDFIDepth: enriched multi-path vision transformer feature interaction networks for monocular depth estimation
Monocular depth estimation (MDE) aims to predict pixel-level dense depth maps from a
single RGB image. Some recent approaches mainly rely on encoder–decoder architectures …
single RGB image. Some recent approaches mainly rely on encoder–decoder architectures …
3D-scanning system based on monocular vision
S Bykovskii, QN Nhu, Q Wang… - Optoelectronic …, 2023 - spiedigitallibrary.org
Monocular vision-based 3D-scanning systems have revolutionized object and environment
capture. The authors have developed a system that uses a rotating camera and an angle …
capture. The authors have developed a system that uses a rotating camera and an angle …