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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Detalles Bibliográficos
Autores principales: Caltagirone, Luca, Bellone, Mauro, Svensson, Lennart, Wahde, Mattias, Sell, Raivo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309822/
https://www.ncbi.nlm.nih.gov/pubmed/34300551
http://dx.doi.org/10.3390/s21144813

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309822/
https://www.ncbi.nlm.nih.gov/pubmed/34300551
http://dx.doi.org/10.3390/s21144813

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