A Novel Underwater Image Enhancement and Improved Underwater Biological Detection Pipeline

@article{Liu2022ANU,
  title={A Novel Underwater Image Enhancement and Improved Underwater Biological Detection Pipeline},
  author={Zheng Liu and Yaoming Zhuang and Pengrun Jia and Chengdong Wu and Hongli Xu and Zhanlin Liu},
  journal={ArXiv},
  year={2022},
  volume={abs/2205.10199}
}
For aquaculture resource evaluation and ecological environment monitoring, automatic detection and identification of marine organisms is critical. However, due to the low quality of underwater images and the characteristics of underwater biological, a lack of abundant features may impede traditional hand-designed feature extraction approaches or CNN-based object detection algorithms, particularly in complex underwater environment. Therefore, the goal of this paper is to perform object detection… 

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