Deep Sparse Depth Completion Using Multi-Scale Residuals and Channel Shuffle

Deep Sparse Depth Completion Using Multi-Scale Residuals and Channel Shuffle

Depth completion aims to recover dense depth maps from sparse depth maps. Recent approaches have used additional modalities as guidance to improve depth completion performance. Image-guided depth completion uses scene information from color images, but it still produces inaccurate object boundaries....

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Detalhes bibliográficos
Principais autores: Zhi Liu, Cheolkon Jung
Formato: Artigo
Idioma:English
Publicado em: IEEE 2024-01-01
coleção:IEEE Access
Assuntos:
Depth completion
channel shuffle
deformable convolution
multi-scale residuals
semantic segmentation
Acesso em linha:https://ieeexplore.ieee.org/document/10388300/

Internet

https://ieeexplore.ieee.org/document/10388300/

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