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Volumetric Semantic Segmentation using Pyramid Context Features
We present an algorithm for the per-voxel semantic segmentation of a three-dimensional volume. At the core of our algorithm is a novel “pyramid context” feature, a descriptive representation designed such that exact per-voxel linear classification can be made extremely efficient. This feature not on...
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| Publicado no: | Proc IEEE Int Conf Comput Vis |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4445881/ https://ncbi.nlm.nih.gov/pubmed/26029008 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ICCV.2013.428 |
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