28 citations · 40 across the 2 of their papers we have counts for
2 papers
cs.CV2022★ 28 cited
PoET: Pose Estimation Transformer for Single-View, Multi-Object 6D Pose Estimation
Thomas Jantos, Mohamed Amin Hamdad, Wolfgang Granig +2
Accurate 6D object pose estimation is an important task for a variety of robotic applications such as grasping or localization. It is a challenging task due to object symmetries, c…
stat.ML2019★ 12 cited
Variational Inference to Measure Model Uncertainty in Deep Neural Networks
Konstantin Posch, Jan Steinbrener, Jürgen Pilz
We present a novel approach for training deep neural networks in a Bayesian way. Classical, i.e. non-Bayesian, deep learning has two major drawbacks both originating from the fact…