Abstract | ||
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Motivated by the astonishing capabilities of natural intelligent agents and inspired by theories from psychology, this paper explores the idea that perception gets coupled to 3D properties of the world via interaction with the environment. Existing works for depth estimation require either massive amounts of annotated training data or some form of hard-coded geometrical constraint. This paper expl... |
Year | DOI | Venue |
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2020 | 10.1109/LRA.2020.3009067 | IEEE Robotics and Automation Letters |
Keywords | DocType | Volume |
Cameras,Optical imaging,Robot sensing systems,Estimation,Three-dimensional displays,Optical sensors | Journal | 5 |
Issue | ISSN | Citations |
4 | 2377-3766 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Antonio Loquercio | 1 | 58 | 5.43 |
Alexey Dosovitskiy | 2 | 1797 | 80.48 |
Davide Scaramuzza | 3 | 2704 | 154.51 |