面向水下场景的轻量级图像语义分割网络
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郭浩然,郭继昌,汪昱东
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Lightweight semantic segmentation network for underwater image
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Hao-ran GUO,Ji-chang GUO,Yu-dong WANG
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表 5 各网络的效率指标对比结果 |
Tab.5 Comparison results of efficiency index in each network |
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语义分割模型 | v/(帧·s−1) | p/106 | f/109 | 本文方法 | 258.94 | 1.45 | 0.31 | U-Net[3] | 19.98 | 14.39 | 38.79 | SegNet[2] | 17.52 | 28.44 | 61.39 | Deeplab[4] | 16.00 | 5.81 | 8.28 | PSPNet[7] | 6.65 | 27.50 | 49.78 | GCN[24] | 11.26 | 23.95 | 7.09 | OCNet[15] | 31.71 | 60.48 | 81.36 | SUIMNet[13] | 27.69 | 3.86 | 4.59 | LEDNet[19] | 111.73 | 0.92 | 1.78 | BiseNetv2[21] | 244.63 | 3.35 | 3.83 | ENet[14] | 117.41 | 0.35 | 0.77 | ERFNet[16] | 198.36 | 2.06 | 4.64 | CGNet[17] | 116.49 | 0.48 | 1.08 |
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