Hongbo Xie

HFDNet: High-Frequency Divergence Attention Network for Underwater Segmentation

Currently, most underwater operations are conducted in deep water, and there is usually insufficient illumination in these areas. At this time, the local texture features of some objects are highly similar in images, and it is difficult to distinguish the inter-class boundaries. This typically resul