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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Detalles Bibliográficos

Autores principales:	Delong Yang, Xunyu Zhong, Lixiong Lin, Xiafu Peng
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2019-01-01
Colección:	IEEE Access
Materias:	Neural networks unsupervised learning image sequences image processing monocular depth estimation adaptive algorithm
Acceso en línea:	https://ieeexplore.ieee.org/document/8862945/
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