Learning to Reorder: Value-Driven State Space Models for Underwater Image Enhancement.
- DOI
- 10.1109/tip.2026.3742630
- Published
- 2026
- Container
- IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tip.2026.3742630,
title = {Learning to Reorder: Value-Driven State Space Models for Underwater Image Enhancement.},
author = {Jiang K and Luo Y and Jiang J and Gu K and Ma N and Liu X},
year = {2026},
journal = {IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
doi = {10.1109/tip.2026.3742630},
url = {https://doi.org/10.1109/tip.2026.3742630}
}RIS
TY - JOUR TI - Learning to Reorder: Value-Driven State Space Models for Underwater Image Enhancement. AU - Jiang K AU - Luo Y AU - Jiang J AU - Gu K AU - Ma N AU - Liu X PY - 2026 JO - IEEE transactions on image processing : a publication of the IEEE Signal Processing Society DO - 10.1109/tip.2026.3742630 UR - https://doi.org/10.1109/tip.2026.3742630 ER -
APA
K, J., Y, L., J, J., K, G., N, M., & X, L. (2026). Learning to Reorder: Value-Driven State Space Models for Underwater Image Enhancement.. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. https://doi.org/10.1109/tip.2026.3742630
Source records
- pubmed · retrieved 2026-11-10T08:34:52.301Z