Deep learning for monocular depth estimation: A review

By Yue Ming, Xuyang Meng, Chunxiao Fan, Hui Yu. Neurocomputing, 2021

436 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition, Media Technology

View Paper: https://www.semanticscholar.org/paper/96e9795cc21448fafc26fd0ae46972ed7aa1b154

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Xiaoqiang Yan
2. Gwenolé Corre
3. Hui Yu
4. Frédérick Carrel
5. Andréa Macario Barros
6. Yangdong Ye
7. Shizhe Hu
8. Maugan Michel

Citations in the corpus

• A Comprehensive Survey of Visual SLAM Algorithms (2022, methodology): “DynaSLAM II [127] is another relevant method that incorporates semantic segmentation to track dynamic objects.”
• Deep multi-view learning methods: A review (2021, background): “One of the most prevalent 15 MVL approaches is to map multi-view data into a common feature space maximizing the mutual agreement of multiple views [19, 20, 21, 22, 7].”