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Deep Ordinal Regression Network for Monocular Depth Estimation
Monocular depth estimation, which plays a crucial role in understanding 3D scene geometry, is an ill-posed problem. Recent methods have gained significant improvement by exploring image-level information and hierarchical features from deep convolutional neural networks (DCNNs). These methods model d...
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| Publicado no: | Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6607900/ https://ncbi.nlm.nih.gov/pubmed/31274971 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/CVPR.2018.00214 |
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