Breaking New Ground in Monocular Depth Estimation with Dynamic Iterative Refinement and Scale Consistency

Breaking New Ground in Monocular Depth Estimation with Dynamic Iterative Refinement and Scale Consistency

Monocular depth estimation (MDE) is a critical task in computer vision with applications in autonomous driving, robotics, and augmented reality. However, predicting depth from a single image poses significant challenges, especially in dynamic scenes where moving objects introduce scale ambiguity and...

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Bibliographic Details
Main Authors: Akmalbek Abdusalomov, Sabina Umirzakova, Makhkamov Bakhtiyor Shukhratovich, Azamat Kakhorov, Young-Im Cho
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Applied Sciences
Subjects:
monocular depth estimation (MDE)
dynamic scenes
scale ambiguity
self-supervised learning
Online Access:https://www.mdpi.com/2076-3417/15/2/674
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