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cs.CV2023★ 1 cited
Detecting Novelties with Empty Classes
Svenja Uhlemeyer, Julian Lienen, Eyke Hüllermeier +1
For open world applications, deep neural networks (DNNs) need to be aware of previously unseen data and adaptable to evolving environments. Furthermore, it is desirable to detect a…
cs.CV2020
Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce Model
Julian Lienen, Eyke Hüllermeier, Ralph Ewerth +1
In many real-world applications, the relative depth of objects in an image is crucial for scene understanding. Recent approaches mainly tackle the problem of depth prediction in mo…