Search Results for author:
Found 4 papers, 1 papers with code
Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds
Deep learning models are extensively used in various safety critical applications.
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
In particular, heavy-tailed distribution based maximum likelihood provides better uncertainty estimates, better separation in uncertainty for out-of-distribution data, as well as better detection of adversarial attacks in the presence of outliers.
A Multimodal Handover Failure Detection Dataset and Baselines
To address this deficit, we present the multimodal Handover Failure Detection dataset, which consists of failures induced by the human participant, such as ignoring the robot or not releasing the object.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
