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DTS-Net: Depth-to-Space Networks for Fast and Accurate Semantic Object Segmentation
We propose Depth-to-Space Net (DTS-Net), an effective technique for semantic segmentation using the efficient sub-pixel convolutional neural network. This technique is inspired by depth-to-space (DTS) image reconstruction, which was originally used for image and video super-resolution tasks, combine...
| 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/PMC8749585/ https://www.ncbi.nlm.nih.gov/pubmed/35009879 http://dx.doi.org/10.3390/s22010337 |