The temporal opportunist: self-supervised multi-frame monocular depth
Self-supervised monocular depth estimation networks are trained to predict scene depth using nearby frames as a supervision signal during training. However, for many applications, sequence information in the form of video frames is also available at test time. The vast majority of monocular networks...
| Main Authors: | , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
IEEE
2021
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