Correlated uncertainty for learning dense correspondences from noisy labels

Bibliographic Details
Main Authors: Neverova, N, Novotny, D, Vedaldi, A
Format: Conference item
Published: Neural Information Processing Systems Foundation 2019
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author Neverova, N
Novotny, D
Vedaldi, A
author_facet Neverova, N
Novotny, D
Vedaldi, A
author_sort Neverova, N
collection OXFORD
description
first_indexed 2024-03-06T18:12:56Z
format Conference item
id oxford-uuid:03a26754-f0e7-4dd9-9017-9c829dac6c3f
institution University of Oxford
last_indexed 2024-03-06T18:12:56Z
publishDate 2019
publisher Neural Information Processing Systems Foundation
record_format dspace
spelling oxford-uuid:03a26754-f0e7-4dd9-9017-9c829dac6c3f2022-03-26T08:47:21ZCorrelated uncertainty for learning dense correspondences from noisy labelsConference itemhttp://purl.org/coar/resource_type/c_5794uuid:03a26754-f0e7-4dd9-9017-9c829dac6c3fSymplectic Elements at OxfordNeural Information Processing Systems Foundation2019Neverova, NNovotny, DVedaldi, A
spellingShingle Neverova, N
Novotny, D
Vedaldi, A
Correlated uncertainty for learning dense correspondences from noisy labels
title Correlated uncertainty for learning dense correspondences from noisy labels
title_full Correlated uncertainty for learning dense correspondences from noisy labels
title_fullStr Correlated uncertainty for learning dense correspondences from noisy labels
title_full_unstemmed Correlated uncertainty for learning dense correspondences from noisy labels
title_short Correlated uncertainty for learning dense correspondences from noisy labels
title_sort correlated uncertainty for learning dense correspondences from noisy labels
work_keys_str_mv AT neverovan correlateduncertaintyforlearningdensecorrespondencesfromnoisylabels
AT novotnyd correlateduncertaintyforlearningdensecorrespondencesfromnoisylabels
AT vedaldia correlateduncertaintyforlearningdensecorrespondencesfromnoisylabels