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Found 2 papers, 2 papers with code
Self-supervised Monocular Depth Estimation: Let's Talk About The Weather
For these architectures to be effective in real-world applications, we must create models that can generalise to all weather conditions, times of the day and image qualities.
Ranked #2 on
Unsupervised Monocular Depth Estimation
on KITTI-C
(using extra training data)
Dyna-DM: Dynamic Object-aware Self-supervised Monocular Depth Maps
Much of the recent work focuses on improving depth estimation by increasing architecture complexity.
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