G-Net: An Efficient Convolutional Network for Underwater Object Detection
Xiaoyang Zhao,
Zhuo Wang,
Zhongchao Deng
et al.
Abstract:Visual perception technology is of great significance for underwater robots to carry out seabed investigation and mariculture activities. Due to the complex underwater environment, it is often necessary to enhance the underwater image when detecting underwater targets by optical sensors. Most of the traditional methods involve image enhancement and then target detection. However, this method greatly increases the timeliness in practical application. To solve this problem, we propose a feature-enhanced target d… Show more
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