Effective fusion module with dilation convolution for monocular panoramic depth estimate

Abstract Depth estimation from monocular panoramic image is a crucial step in 3D reconstruction, which is a close relationship with virtual reality and metaverse technologies. In recent years, some methods, such as HRDFuse, BiFuse++, and UniFuse, have employed a two‐branch neural network leveraging...

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Bibliographic Details
Main Authors: Cheng Han, Yongqing Cai, Xinpeng Pan, Ziyun Wang
Format: Article
Language:English
Published: Wiley 2024-03-01
Series:IET Image Processing
Subjects:
Online Access:https://doi.org/10.1049/ipr2.13007