Learning Structured Gaussians to Approximate Deep Ensembles

Author:

Simpson Ivor J.A.1,Vicente Sara2,Campbell Neill D.F.3

Affiliation:

1. University of Sussex,UK

2. Niantic,UK

3. University of Bath,UK

Publisher

IEEE

Reference25 articles.

1. Regression Tree Fields — An efficient, non-parametric approach to image labeling problems

2. What uncertainties do we need in bayesian deep learning for computer vision?;kendall;Advances in neural information processing systems,2017

3. Auto-encoding variational bayes;kingma;ICLRE,2014

4. Supervising the New with the Old: Learning SFM from SFM

5. Simple and scalable predictive uncertainty esti-mation using deep ensembles;lakshminarayanan;NeurIPS,2017

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2. Learning a Depth Covariance Function;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

3. Multivariate Probabilistic Monocular 3D Object Detection;2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2023-01

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