Lightweight Depth Completion Network with Local Similarity-Preserving Knowledge Distillation

Depth perception capability is one of the essential requirements for various autonomous driving platforms. However, accurate depth estimation in a real-world setting is still a challenging problem due to high computational costs. In this paper, we propose a lightweight depth completion network for d...

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Detalles Bibliográficos
Autores principales: Jeong, Yongseop, Park, Jinsun, Cho, Donghyeon, Hwang, Yoonjin, Choi, Seibum B., Kweon, In So
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573132/
https://www.ncbi.nlm.nih.gov/pubmed/36236485
http://dx.doi.org/10.3390/s22197388

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573132/
https://www.ncbi.nlm.nih.gov/pubmed/36236485
http://dx.doi.org/10.3390/s22197388

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