Self‐supervised monocular depth estimation via asymmetric convolution block
Abstract Without the dependence of depth ground truth, self‐supervised learning is a promising alternative to train monocular depth estimation. It builds its own supervision signal with the help of other tools, such as view synthesis and pose networks. However, more training parameters and time cons...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-06-01
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| Series: | IET Cyber-systems and Robotics |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/csy2.12051 |