Variational Networks: An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration.

Effland A, Kobler E, Kunisch K, Pock T

DOI: 10.1007/s10851-019-00926-8
Published: 2020
Container: Journal of mathematical imaging and vision
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/s10851-019-00926-8,
  title = {Variational Networks: An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration.},
  author = {Effland A and Kobler E and Kunisch K and Pock T},
  year = {2020},
  journal = {Journal of mathematical imaging and vision},
  doi = {10.1007/s10851-019-00926-8},
  url = {https://doi.org/10.1007/s10851-019-00926-8}
}

RIS

TY  - JOUR
TI  - Variational Networks: An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration.
AU  - Effland A
AU  - Kobler E
AU  - Kunisch K
AU  - Pock T
PY  - 2020
JO  - Journal of mathematical imaging and vision
DO  - 10.1007/s10851-019-00926-8
UR  - https://doi.org/10.1007/s10851-019-00926-8
ER  -

APA

A, E., E, K., K, K., & T, P. (2020). Variational Networks: An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration.. Journal of mathematical imaging and vision. https://doi.org/10.1007/s10851-019-00926-8

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pubmed · retrieved 2026-11-10T15:14:23.902Z