面向水下场景的轻量级图像语义分割网络

郭浩然,郭继昌,汪昱东

Lightweight semantic segmentation network for underwater image

Hao-ran GUO,Ji-chang GUO,Yu-dong WANG

表 4 各网络在海草数据集上的精度指标对比结果

Tab.4 Comparison results of accuracy index in each network on seagrass dataset

语义分割模型 mIoU/% PA/% 0~2 m 2~6 m 0~2 m 2~6 m 本文方法 88.63 89.01 96.08 96.10 U-Net[3] 87.69 87.42 95.89 95.62 SegNet[2] 83.90 82.93 94.96 94.92 Deeplab[4] 87.36 87.93 95.84 95.88 PSPNet[7] 89.08 89.29 96.31 96.33 GCN[24] 87.37 86.97 95.82 95.73 OCNet[15] 88.96 89.41 96.26 96.35 SUIMNet[13] 88.24 88.45 95.91 95.93 LEDNet[29] 87.48 87.84 95.85 95.88 BiseNetv2[21] 88.43 88.85 96.03 96.09 ENet[14] 85.94 86.60 95.17 95.21 ERFNet[16] 86.72 87.05 95.36 95.48 CGNet[27] 87.15 87.24 95.43 95.46