Conference item
Correlated uncertainty for learning dense correspondences from noisy labels
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Authors
- Publisher:
- Neural Information Processing Systems Foundation
- Host title:
- NIPS Proceedings
- Volume:
- 32
- Pages:
- 1-9
- Publication date:
- 2019-11-18
- Acceptance date:
- 2019-09-03
- Event title:
- Advances in Neural Information Processing Systems 2019 (NIPS 2019)
- Event location:
- Vancouver, Canada
- Event website:
- https://nips.cc/Conferences/2019
- Event start date:
- 2019-12-08
- Event end date:
- 2019-12-14
- Keywords:
- Pubs id:
-
pubs:1072898
- UUID:
-
uuid:03a26754-f0e7-4dd9-9017-9c829dac6c3f
- Local pid:
-
pubs:1072898
- Source identifiers:
-
1072898
- Deposit date:
-
2019-11-19
Terms of use
- Copyright date:
- 2019
- Notes:
- This paper was presented at the 32nd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada, December 2019. This is the accepted manuscript version of the paper. The final version is available online from the Neural Information Processing Systems Foundation at: https://papers.nips.cc/paper/8378-correlated-uncertainty-for-learning-dense-correspondences-from-noisy-labels
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