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...
| Huvudupphovsmän: | , , |
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| Materialtyp: | Artikel |
| Språk: | English |
| Publicerad: |
MDPI AG
2020-10-01
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| Serie: | Sensors |
| Ämnen: | |
| Länkar: | https://www.mdpi.com/1424-8220/20/20/5765 |