This is a modified version of caffe-SegNet which supports the architecture of underwater color correction network for WaterGAN.
This network module provide end-to-end color correction for underwater images, as described in WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images(https://arxiv.org/abs/1702.07392)
- MHL test tank dataset: MHL.tar.gz
- Jamaica field dataset: Jamaica.tar.gz
@article{li2017watergan,
author = {Jie Li, Katherine A. Skinner, Ryan M. Eustice and
Matthew Johnson{-}Roberson},
title = {WaterGAN: Unsupervised Generative Network to Enable Real-time Color
Correction of Monocular Underwater Images},
journal = {CoRR},
volume = {abs/1702.07392},
year = {2017},
url = {http://arxiv.org/abs/1702.07392},
timestamp = {Wed, 01 Mar 2017 14:26:00 +0100},
biburl = {http://dblp.uni-trier.de/rec/bib/journals/corr/LiSEJ17},
bibsource = {dblp computer science bibliography, http://dblp.org}
}
This extension to the Caffe library is released under a creative commons license which allows for personal and research use only. For a commercial license please contact the authors. You can view a license summary here: http://creativecommons.org/licenses/by-nc/4.0/