96 citations · 159 across the 5 of their papers we have counts for
3 papers · 1 filter
Self-supervised Transfer Learning for Instance Segmentation through Physical Interaction
Andreas Eitel, Nico Hauff, Wolfram Burgard
Instance segmentation of unknown objects from images is regarded as relevant for several robot skills including grasping, tracking and object sorting. Recent results in computer vi…
The Freiburg Groceries Dataset
Philipp Jund, Nichola Abdo, Andreas Eitel +1
With the increasing performance of machine learning techniques in the last few years, the computer vision and robotics communities have created a large number of datasets for bench…
Multimodal Deep Learning for Robust RGB-D Object Recognition
Andreas Eitel, Jost Tobias Springenberg, Luciano Spinello +2
Robust object recognition is a crucial ingredient of many, if not all, real-world robotics applications. This paper leverages recent progress on Convolutional Neural Networks (CNNs…