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Latent 3D Volume for Joint Depth Estimation and Semantic Segmentation from a Single Image
This paper proposes a novel 3D representation, namely, a latent 3D volume, for joint depth estimation and semantic segmentation. Most previous studies encoded an input scene (typically given as a 2D image) into a set of feature vectors arranged over a 2D plane. However, considering the real world is...
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| Publié dans: | Sensors (Basel) |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7601744/ https://ncbi.nlm.nih.gov/pubmed/33053692 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20205765 |
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