An Adaptive Unsupervised Learning Framework for Monocular Depth Estimation

An Adaptive Unsupervised Learning Framework for Monocular Depth Estimation

Depth estimation from a single image plays an important role in 3D scene perception. Owing to the development of deep convolutional neural networks (CNNs), monocular depth estimation models have achieved a large number of exciting results. However, the requirement for the manual per-pixel labeled da...

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Bibliographic Details
Main Authors: Delong Yang, Xunyu Zhong, Lixiong Lin, Xiafu Peng
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Neural networks
unsupervised learning
image sequences
image processing
monocular depth estimation
adaptive algorithm
Online Access:https://ieeexplore.ieee.org/document/8862945/

Internet

https://ieeexplore.ieee.org/document/8862945/

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