Searched for: subject:"monocular%5C+depth%5C+estimation"
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van Dijk, J.C. (author), de Croon, G.C.H.E. (author)
Deep neural networks have lead to a breakthrough in depth estimation from single images. Recent work shows that the quality of these estimations is rapidly increasing. It is clear that neural networks can see depth in single images. However, to the best of our knowledge, no work currently exists that analyzes what these networks have learned. In...
conference paper 2019
van Hecke, K.G. (author), de Croon, G.C.H.E. (author), van der Maaten, L.J.P. (author), Hennes, Daniel (author), Izzo, Dario (author)
Self-supervised learning is a reliable learning mechanism in which a robot uses an original, trusted sensor cue for training to recognize an additional, complementary sensor cue. We study for the first time in self-supervised learning how a robot’s learning behavior should be organized, so that the robot can keep performing its task in the...
journal article 2018