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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2024-03-01
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Series: | IET Image Processing |
Subjects: | |
Online Access: | https://doi.org/10.1049/ipr2.13007 |