Below is a list of all relevant publications authored by Robotics Forum members.


BibTex format

author = {Carvalho, EDC and Clark, R and Nicastro, A and Kelly, PHJ},
pages = {12003--12013},
publisher = {IEEE},
title = {Scalable uncertainty for computer vision with functional variationalinference},
url = {},
year = {2020}

RIS format (EndNote, RefMan)

AB - As Deep Learning continues to yield successful applications in ComputerVision, the ability to quantify all forms of uncertainty is a paramountrequirement for its safe and reliable deployment in the real-world. In thiswork, we leverage the formulation of variational inference in function space,where we associate Gaussian Processes (GPs) to both Bayesian CNN priors andvariational family. Since GPs are fully determined by their mean and covariancefunctions, we are able to obtain predictive uncertainty estimates at the costof a single forward pass through any chosen CNN architecture and for anysupervised learning task. By leveraging the structure of the induced covariancematrices, we propose numerically efficient algorithms which enable fasttraining in the context of high-dimensional tasks such as depth estimation andsemantic segmentation. Additionally, we provide sufficient conditions forconstructing regression loss functions whose probabilistic counterparts arecompatible with aleatoric uncertainty quantification.
AU - Carvalho,EDC
AU - Clark,R
AU - Nicastro,A
AU - Kelly,PHJ
EP - 12013
PY - 2020///
SP - 12003
TI - Scalable uncertainty for computer vision with functional variationalinference
UR -
UR -
UR -
ER -