Cargando…
Deep Monocular Depth Estimation Based on Content and Contextual Features
Recently, significant progress has been achieved in developing deep learning-based approaches for estimating depth maps from monocular images. However, many existing methods rely on content and structure information extracted from RGB photographs, which often results in inaccurate depth estimation,...
Autores principales: | Abdulwahab, Saddam, Rashwan, Hatem A., Sharaf, Najwa, Khalid, Saif, Puig, Domenec |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10055838/ https://www.ncbi.nlm.nih.gov/pubmed/36991629 http://dx.doi.org/10.3390/s23062919 |
Ejemplares similares
-
Monocular Depth Estimation Using Deep Learning: A Review
por: Masoumian, Armin, et al.
Publicado: (2022) -
GFI-Net: Global Feature Interaction Network for Monocular Depth Estimation
por: Zhang, Cong, et al.
Publicado: (2023) -
Monocular Depth Estimation: Lightweight Convolutional and Matrix Capsule Feature-Fusion Network
por: Wang, Yinchu, et al.
Publicado: (2022) -
RT-ViT: Real-Time Monocular Depth Estimation Using Lightweight Vision Transformers
por: Ibrahem, Hatem, et al.
Publicado: (2022) -
Deep Learning-Based Monocular Depth Estimation Methods—A State-of-the-Art Review
por: Khan, Faisal, et al.
Publicado: (2020)