Monocular Depth Estimation: Lightweight Convolutional and Matrix Capsule Feature-Fusion Network

This paper reports a study that aims to solve the problem of the weak adaptability to angle transformation of current monocular depth estimation algorithms. These algorithms are based on convolutional neural networks (CNNs) but produce results lacking in estimation accuracy and robustness. The paper...

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Detalles Bibliográficos
Autores principales: Wang, Yinchu, Zhu, Haijiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459913/
https://www.ncbi.nlm.nih.gov/pubmed/36080801
http://dx.doi.org/10.3390/s22176344

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459913/
https://www.ncbi.nlm.nih.gov/pubmed/36080801
http://dx.doi.org/10.3390/s22176344

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