Graph semantic information for self-supervised monocular depth estimation

Author:

Zhang Dongdong,Wang Chunping,Wang HuiyingORCID,Fu Qiang

Publisher

Elsevier BV

Reference47 articles.

1. Li R., Mao Q., Wang P., et al. Semantic-guided representation enhancement for self-supervised monocular trained depth estimation. arXiv preprint arXiv:2012.08048. 2020.

2. Choi J., Jung D., Lee D., et al. SAFENet: self-supervised monocular depth estimation with semantic-aware feature extraction. arXiv preprint arXiv:2010.02893. 2020.

3. GCNDepth: self-supervised monocular depth estimation based on graph convolutional network;Masoumian;Neurocomputing,2023

4. Monocular depth estimation with hierarchical fusion of dilated CNNs and soft-weighted-sum inference;Li;Pattern Recognit.,2018

5. Multi-scale continuous CRFs as sequential deep networks for monocular depth estimation;Xu,2017

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