结合上下文与类别感知特征融合的高分遥感图像语义分割
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何晓军, 罗杰
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Semantic segmentation of high-resolution remote sensing images based on context- and class-aware feature fusion
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HE Xiaojun, LUO Jie
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表4 Potsdam数据集IoU得分
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Tab.4 IoU scores on the Potsdam (%)
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模型 | IoU | mIoU | 不透水 表面 | 建筑物 | 低矮 植被 | 树木 | 汽车 | UNet | 80.18 | 88.59 | 71.32 | 72.26 | 79.67 | 78.40 | PSPNet | 78.47 | 87.79 | 69.34 | 72.46 | 64.17 | 74.44 | DeepLabv3+ | 81.19 | 89.06 | 71.11 | 72.79 | 80.94 | 79.01 | HRNet | 78.13 | 85.98 | 70.26 | 69.95 | 75.92 | 76.04 | A2FPN | 80.91 | 88.48 | 70.69 | 72.59 | 78.44 | 78.22 | BuildFormer | 80.96 | 88.65 | 71.93 | 71.89 | 80.43 | 78.77 | CCFFSM | 82.32 | 90.44 | 72.54 | 75.02 | 80.82 | 80.23 |
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