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Lidar–Camera Semi-Supervised Learning for Semantic Segmentation
In this work, we investigated two issues: (1) How the fusion of lidar and camera data can improve semantic segmentation performance compared with the individual sensor modalities in a supervised learning context; and (2) How fusion can also be leveraged for semi-supervised learning in order to furth...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8309822/ https://ncbi.nlm.nih.gov/pubmed/34300551 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21144813 |
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