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SGSNet: A Lightweight Depth Completion Network Based on Secondary Guidance and Spatial Fusion
The depth completion task aims to generate a dense depth map from a sparse depth map and the corresponding RGB image. As a data preprocessing task, obtaining denser depth maps without affecting the real-time performance of downstream tasks is the challenge. In this paper, we propose a lightweight de...
| 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/PMC9459817/ https://www.ncbi.nlm.nih.gov/pubmed/36080872 http://dx.doi.org/10.3390/s22176414 |