Web: http://arxiv.org/abs/2202.08537

June 23, 2022, 1:13 a.m. | Yu-Wei Chen, Soo-Chang Pei

cs.CV updates on arXiv.org arxiv.org

Underwater image suffer from color cast, low contrast and hazy effect due to
light absorption, refraction and scattering, which degraded the high-level
application, e.g, object detection and object tracking. Recent learning-based
methods demonstrate astonishing performance on underwater image enhancement,
however, most of these works use synthetic pair data for supervised learning
and ignore the domain gap to real-world data. To solve this problem, we propose
a domain adaptation framework for underwater image enhancement via content and
style separation, different from …

arxiv content cv domain adaptation image

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