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Dyna-DM: Dynamic object-aware self-supervised monocular depth maps
Self-supervised monocular depth estimation has been a subject of intense study in recent years, because of its applications in robotics and autonomous driving. Much of the recent work focuses on improving depth estimation by increasing architecture complexity. This paper shows that state-of-the-art...
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Main Authors: | , , |
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Format: | Default Conference proceeding |
Published: |
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/2134/26484766.v1 |
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