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Improving Depth Estimation by Embedding Semantic Segmentation: A Hybrid CNN Model
Single image depth estimation works fail to separate foreground elements because they can easily be confounded with the background. To alleviate this problem, we propose the use of a semantic segmentation procedure that adds information to a depth estimator, in this case, a 3D Convolutional Neural N...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8875167/ https://www.ncbi.nlm.nih.gov/pubmed/35214571 http://dx.doi.org/10.3390/s22041669 |