UISS-Net:Underwater Image Semantic Segmentation Network for Improving Boundary Segmentation Accuracy of Underwater Images
zhiqian he,
Lijie Cao,
Jialu Luo
et al.
Abstract:Image semantic segmentation t is widely used in aquatic product measurement, aquatic biological cell segmentation, and aquatic biological classifications. However, underwater image segmentation has low accuracy and poor robustness because of turbid underwater environments and insufficient light. Therefore, this paper proposes an Underwater Image Semantic Segmentation Network (UISS-Net) for underwater scenes. Firstly, the backbone network uses an auxiliary feature extraction network to improve the extraction of… Show more
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