Funder
KIT Future Fields Project “Screening Platform for Personalized Oncology (SPPO),”
HoreKa Supercomputer through the Ministry of Science, Research, and the Arts Baden-Württemberg
Bundesministerium für Bildung und Forschung
Helmholtz Association’s Initiative and Networking Fund through the Helmholtz AI and the Helmholtz Imaging Platform
KIT-Publication Fund of the Karlsruhe Institute of Technology
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Reference56 articles.
1. Simple and scalable predictive uncertainty estimation using deep ensembles;lakshminarayanan;Proc Adv Neural Inf Process Syst,2017
2. What uncertainties do we need in Bayesian deep learning for computer vision?;kendall;Proc Adv Neural Inf Process Syst,2017
3. Robust Physical-World Attacks on Deep Learning Visual Classification
4. Radar Artifact Labeling Framework (RALF): Method for Plausible Radar Detections in Datasets
5. AnnotatorJ: an ImageJ plugin to ease hand annotation of cellular compartments
Cited by
12 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献